Evidence map›Paper›PMID 42355342›Full record

ArticleInsects2026

Arthropod Natural Enemies in Biological Control: A Systematic Bibliometric Analysis 2016-2025.

Shi-Jie Qi, Jie Wang, Jing-Juan Zhao, Chu-Fei Liu, Su Wang, Nicolas Desneux

Abstract read
In one paragraph

Article in Insects, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shi-Jie QiInstitute of Data Science and Agricultural Economics, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China.
Jie WangCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China.
Jing-Juan ZhaoInstitute of Data Science and Agricultural Economics, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China.
Chu-Fei LiuChina Agricultural University Library, China Agriculture University, Beijing 100193, China.
Su WangKey Laboratory of Natural Enemies Insects, Ministry of Agriculture and Rural Affairs, Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Nicolas DesneuxUniversité Côte d'Azur, INRAE, CNRS, UMR ISA, 06000 Nice, France.

Funding

Beijing Academy of Agricultural and Forestry Sciences KJCX20261201Hangzhou Normal University 4105C5022521535
6 · The paper itself

Abstract

Arthropod natural enemies-encompassing predators and parasitoids-form the backbone of sustainable agriculture, delivering irreplaceable ecosystem services via biological pest suppression. Driven by global demand for eco-friendly alternatives to synthetic pesticides, research in this domain has grown sharply over the past decade. Here, we report a systematic bibliometric analysis of 6515 Web of Science Core Collection papers focused on arthropod natural enemies in biological control (2016-2025), with the goal of charting the field's intellectual structure. Performance metrics confirmed an initial rapid increase from 2016 to 2019 followed by a plateau and a slight rise in 2025, with the US, China, and Brazil dominating output. Keyword co-occurrence networks pinpointed core themes, including conservation biological control, predatory mites, and integrated pest management (IPM). Temporal trends further revealed a pivot toward applied work on invasive pest systems. Co-citation analysis uncovered six foundational research clusters, while bibliographic coupling of 2021-2025 papers uncovered five active emerging subfields: landscape ecology and habitat manipulation, tri-trophic interaction mechanisms, high-impact invasive pest biocontrol, non-target risk assessment for introduced agents, and fall armyworm integrated management. We synthesize cross-cutting implications and outline future priorities-including AI-enabled rearing systems, functional biodiversity boosting, climate adaptation, and multifunctional landscape tuning. By consolidating historical progress and forward-looking directions, this framework empowers researchers, extension practitioners, and policymakers to scale sustainable pest management worldwide.

Indexed as

bibliometric analysisbiological controlintegrated pest managementnatural enemiesparasitoidspredators

Identifiers

PMID42355342
PMCPMC13300250

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.