David Jebb

15 papers receiving 776 citations

David Jebb's Hit Papers

Six reference-quality genomes reveal evolution of bat adaptations 2020 · 244 citations
2440+2+4Years since publication50100150200

Peers

David Jebb
Comparison fields: 5 of 74
  • Aging 117
  • Ecology, Evolution, Behavior and Systematics 280
  • Genetics 104
  • Molecular Biology 222
  • Immunology 64
Replace Zixia Huang with:
Zixia Huang Ireland
Megan L. Power Ireland
Juliana G. Roscito Germany
Andrew E. Webb United States
Jeffery W. Jones United States
Roger D. Ransome United Kingdom
Emilie Pondeville United Kingdom
Ksenia Lavrichenko Norway
Adrian Streit Germany
Nelson Eduardo Martins Portugal
David Jebb relative to Zixia Huang Ireland Zixia Huang's profile →
Citations per field
00.5×1.5×
Zixia Huang · 1×
Citations per year

Countries citing papers authored by David Jebb

Since Specialization
Citations

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

Fields of papers citing papers by David Jebb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Six reference-quality genomes reveal evolution of bat adaptations
Hit paper breakdown →
2020244
2 2018123
3 2023112
4 201983
5 201649
6 202244
7 201830
8 201829
9 201528
10 201510
11 202010
12 20229
13 20177
14 20134
15 20164

About David Jebb

David Jebb is a scholar working on Ecology, Evolution, Behavior and Systematics, Aging, Paleontology, Physiology and Molecular Biology, having authored 15 papers that have together received 786 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (7 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Evolution and Paleontology Studies (2 papers), Telomeres, Telomerase, and Senescence (1 paper), Mitochondrial Function and Pathology (1 paper), Lepidoptera: Biology and Taxonomy (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Aging (117 citations), Ecology, Evolution, Behavior and Systematics (280 citations), Genetics (104 citations), Molecular Biology (222 citations) and Immunology (64 citations). David Jebb has collaborated with scholars based in Germany, Ireland and France. Frequent co-authors include Emma C. Teeling, Zixia Huang, Nicole M. Foley, Sébastien J. Puechmaille, Conor Whelan, Frédéric Touzalin, Michael Hiller, ERIC J. PETIT, Gerald Kerth and Hugo Rebelo. Their work appears in journals such as Science Advances, Nature Ecology & Evolution, Molecular Ecology Resources, eLife and GigaScience.

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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