Beth Mortimer

887 citations
37 papers · 661 · h-index 15

Impact in

Papers in

    • Insect and Arachnid Ecology and Behavior 15
    • Silk-based biomaterials and applications 15

Beth Mortimer

36 papers receiving 648 citations

Peers

Beth Mortimer
Comparison fields: 5 of 86
  • Developmental Biology 69
  • Biomaterials 306
  • Insect Science 116
  • Ecology, Evolution, Behavior and Systematics 170
  • Genetics 168
Replace Matthew L. M. Lim with:
Matthew L. M. Lim Singapore
Cong Guo China
Chad M. Eliason United States
Aaron M. T. Harmer Australia
Daniel Dudek United States
Paul Babb United States
Shira D. Gordon United States
Jean‐Pol Vigneron Belgium
Chen‐Pan Liao Taiwan
Sander W. S. Gussekloo Netherlands
Beth Mortimer relative to Matthew L. M. Lim Singapore Matthew L. M. Lim's profile →
Citations per field
00.5×2×4×5.3×
Matthew L. M. Lim · 1×
Citations per year

Countries citing papers authored by Beth Mortimer

Since Specialization
Citations

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

Fields of papers citing papers by Beth Mortimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth Mortimer. 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 Beth Mortimer. The network helps show where Beth Mortimer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 201363
3 201658
4 201651
5 201447
6 201445
7 201835
8 201234
9 201929
10 201928
11 201923
12 202120
13 201520
14 202116
15 202115
16 202414
17 201712
18 201311
19 202311
20 202010

About Beth Mortimer

Beth Mortimer is a scholar working on Genetics, Biomaterials, Ecology, Evolution, Behavior and Systematics, Developmental Biology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 661 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (15 papers), Insect and Arachnid Ecology and Behavior (15 papers), Animal Vocal Communication and Behavior (8 papers), Neurobiology and Insect Physiology Research (7 papers), Hemiptera Insect Studies (5 papers), Animal Behavior and Reproduction (5 papers), Silkworms and Sericulture Research (5 papers) and Marine animal studies overview (4 papers). The work is most often cited by research in Developmental Biology (69 citations), Biomaterials (306 citations), Insect Science (116 citations), Ecology, Evolution, Behavior and Systematics (170 citations) and Genetics (168 citations). Beth Mortimer has collaborated with scholars based in United Kingdom, Spain and Kenya. Frequent co-authors include Fritz Vollrath, Chris Holland, Clive R. Siviour, David Porter, Graham K. Taylor, Juan Guan, James F. C. Windmill, R. Zaera, Shira D. Gordon and Yu Wang. Their work appears in journals such as Journal of The Royal Society Interface, Arthropod Structure & Development, Journal of Experimental Biology, PLoS Biology and Die Naturwissenschaften.

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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