Matthew E. Kaplan

1.6k citations
14 papers · 453 · h-index 11

Impact in

  • Genetics top 10%
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Race, Genetics, and Society
    • Species Distribution and Climate Change

Papers in

    • Molecular Biology Techniques and Applications 5
    • Fungal and yeast genetics research 2
    • Machine Learning in Bioinformatics 1
    • Forensic and Genetic Research 5
    • Genetic diversity and population structure 3

Matthew E. Kaplan

14 papers receiving 435 citations

Peers

Matthew E. Kaplan
Comparison fields: 5 of 88
  • Genetics 233
  • Ecological Modeling 35
  • Insect Science 79
  • Ecology, Evolution, Behavior and Systematics 91
  • Archeology 36
Replace Elise M. S. Belle with:
Elise M. S. Belle United Kingdom
Arun Sethuraman United States
Alexandre Gouy Switzerland
Willy Rodríguez France
Simon Aeschbacher Switzerland
Daniela R. Lacerda Brazil
Petra Korlević United Kingdom
Ricardo Kanitz Switzerland
E. B. Ford United Kingdom
Matthew E. Kaplan relative to Elise M. S. Belle United Kingdom Elise M. S. Belle's profile →
Citations per field
00.5×1.5×
Elise M. S. Belle · 1×
Citations per year

Countries citing papers authored by Matthew E. Kaplan

Since Specialization
Citations

This map shows the geographic impact of Matthew E. Kaplan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew E. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Kaplan more than expected).

Fields of papers citing papers by Matthew E. Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Kaplan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew E. Kaplan. The network helps show where Matthew E. Kaplan may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew E. Kaplan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew E. Kaplan Line = papers co-authored together Matthew E. Kaplan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 199982
2 200473
3 200465
4 201945
5 200845
6
From the frog's mouth: Buccal swabs for collection of DNA from amphibians
200334
7 201429
8 200321
9 200318
10 200314
11 201711
12 20158
13 20147
14 20251

About Matthew E. Kaplan

Matthew E. Kaplan is a scholar working on Molecular Biology, Genetics, Global and Planetary Change, Ecology and Plant Science, having authored 14 papers that have together received 453 indexed citations. Recurring topics across this work include Forensic and Genetic Research (5 papers), Molecular Biology Techniques and Applications (5 papers), Genetic diversity and population structure (3 papers), Amphibian and Reptile Biology (3 papers), Fungal and yeast genetics research (2 papers), Machine Learning in Bioinformatics (1 paper), Metabolism and Genetic Disorders (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Genetics (233 citations), Ecological Modeling (35 citations), Insect Science (79 citations), Ecology, Evolution, Behavior and Systematics (91 citations) and Archeology (36 citations). Matthew E. Kaplan has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Michael F. Hammer, Cecil R. Schwalbe, Nancy A. Moran, Edwin Scholes, Troy G. Murphy, Tatiana M. Karafet, Lluís Quintana‐Murci, Karl Skorecki, Daniel Garrigan and Dror Rosengarten. Their work appears in journals such as SLAS DISCOVERY, Annals of Human Genetics, Molecular Ecology, PLoS Computational Biology and European Journal of Human Genetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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