Michelle L. Taylor

836 citations
17 papers · 438 indexed · h-index 9

Michelle L. Taylor

17 papers receiving 434 citations

Peers

Michelle L. Taylor
Comparison fields: 5 of 59
  • Ecology, Evolution, Behavior and Systematics 321
  • Genetics 245
  • Insect Science 75
  • Experimental and Cognitive Psychology 41
  • Aging 5
Replace Chang S. Han with:
Chang S. Han South Korea
Kevin A. Judge Canada
Darren Rebar United States
Nikolai J. Tatarnic Australia
Ummat Somjee United States
Benjamin Pélissié France
Janine W. Y. Wong Switzerland
Jonathan M. Henshaw Germany
Natalie Pilakouta United Kingdom
Vincent A. Formica United States
Michelle L. Taylor relative to Chang S. Han South Korea Chang S. Han's profile →
Citations per field
00.5×1.5×
Chang S. Han · 1×
Citations per year

Countries citing papers authored by Michelle L. Taylor

Since Specialization
Citations

This map shows the geographic impact of Michelle L. Taylor'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 Michelle L. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle L. Taylor more than expected).

Fields of papers citing papers by Michelle L. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle L. Taylor. 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 Michelle L. Taylor. The network helps show where Michelle L. Taylor may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michelle L. Taylor, 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 Michelle L. Taylor Line = papers co-authored together Michelle L. Taylor links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Equity at sea: Gender and inclusivity in UK sea-going science
20202
2 201811
3 20157
4 20158
5 20157
6 20158
7 2014184
8 20148
9 201433
10 201311
11 20134
12 200917
13 20096
14 200862
15 200713
16 200742
17 200215

About Michelle L. Taylor

Michelle L. Taylor is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Occupational Therapy, Experimental and Cognitive Psychology and Safety Research, having authored 17 papers that have together received 438 indexed citations. Recurring topics across this work include Plant and animal studies (10 papers), Animal Behavior and Reproduction (10 papers), Insect and Arachnid Ecology and Behavior (8 papers), Genetic diversity and population structure (2 papers), Treatment of Major Depression (2 papers), Delphi Technique in Research (1 paper), Amphibian and Reptile Biology (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (321 citations), Genetics (245 citations), Insect Science (75 citations), Experimental and Cognitive Psychology (41 citations) and Aging (5 citations). Michelle L. Taylor has collaborated with scholars based in United Kingdom, Australia and Spain. Frequent co-authors include Nina Wedell, Tom A. R. Price, David J. Hosken, David J. Hodgson, Paulina Giraldo-Perez, A. Campbell, Jonathan P. Evans, Amanda Bretman, Ana‐Citlali Gradilla and Francisco García–González. Their work appears in journals such as Behavioral Ecology and Sociobiology, Proceedings of the Royal Society B Biological Sciences, Mayo Clinic Proceedings, Animal Behaviour and Cochrane Database of Systematic Reviews.

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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