Evidence map›Paper›PMID 41898989›Full record

ReviewInsects2026

Research Trends, Hotspots and Future Perspectives of Geometric Morphometrics in Entomology: A Scientometric Review.

Yusha Tan, Zihui Zhao, Xiaojuan Yuan, Yuanqi Zhao, Di Su, Yuehua Song

Abstract readReview
In one paragraph

Review in Insects, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Yusha TanSchool of Karst Science, Guizhou Normal University, Guiyang 550025, China.
Zihui ZhaoSchool of Karst Science, Guizhou Normal University, Guiyang 550025, China.
Xiaojuan YuanSchool of Karst Science, Guizhou Normal University, Guiyang 550025, China.ORCID 0009-0006-0743-2019
Yuanqi ZhaoSchool of Karst Science, Guizhou Normal University, Guiyang 550025, China.ORCID 0000-0003-4929-3863
Di SuSchool of Karst Science, Guizhou Normal University, Guiyang 550025, China.
Yuehua SongSchool of Karst Science, Guizhou Normal University, Guiyang 550025, China.ORCID 0000-0003-3567-3056

Funding

National Natural Science Foundation of China 32260120Natural Science Foundation of Guizhou Province Qiankehejichu-ZK[2023] General 257Science and Technology Innovation Talent Team Building Project of Guizhou Province Qiankehepingtairencai-CXTD[2023]010Training Program for High-level Innovative Talents of Guizhou Province Qiankehepingtairencai-GCC [2023]032
6 · The paper itself

Abstract

Geometric morphometrics is an important component of quantitative research on insect morphology, widely applied in taxonomy, intraspecific variation, and phylogenetic studies. However, systematic research in this field remains limited, with few comprehensive summaries of research trends, hotspots, and core theories. This study, based on scientometric methods, analyzed 1321 publications indexed in the Web of Science database up to 31 December 2025, and presents a meta-scientific review from a macro perspective, revealing the research trends, hotspots, and future directions in the field. The results show that: (1) annual publications exhibit overall growth, while research methods evolved from single landmark analysis to multimodal and interdisciplinary approaches; (2) scientists from Brazil, the USA, and France are major contributors, with studies spanning morphology, taxonomy, and ecology; (3) taxonomic studies centered on wing shape analysis constitutes a major research hotspot, closely related to phylogeny, allometry, and sexual dimorphism; (4) highly co-cited studies provide the main theoretical and methodological foundations for the field. Future research, building on existing hotspots, will further integrate geometric morphometrics with genomics, ecological functional data, three-dimensional geometric morphometrics, and artificial intelligence-assisted approaches to advance integrative taxonomy within interdisciplinary and data-driven frameworks.

Indexed as

entomologygeometric morphometricsknowledge mappingscientometrics

Identifiers

PMID41898989
PMCPMC13026782

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.