Stephen Earl

485 citations
10 papers · 383 · h-index 10

Impact in

  • Virology top 5%
    • Rabies epidemiology and control
  • Genetics top 5%
    • Venomous Animal Envenomation and Studies

Papers in

    • Venomous Animal Envenomation and Studies 10
    • Healthcare and Venom Research 3

Stephen Earl

10 papers receiving 371 citations

Peers

Stephen Earl
Comparison fields: 5 of 40
  • Virology 164
  • Genetics 353
  • Paleontology 85
  • Microbiology 44
  • Pharmacology 47
Replace Tamara Sajevic with:
Tamara Sajevic Slovenia
Julio G. Soto United States
Ryan J.R. McCleary United States
Deyu Wang China
Kayena Delaix Zaqueo Brazil
Sumita Dutta India
Carolina P. Bernardes Brazil
Karen de Morais-Zani Brazil
Arinos Magalhães Brazil
Nathaniel Frank Australia
Stephen Earl relative to Tamara Sajevic Slovenia Tamara Sajevic's profile →
Citations per field
00.5×1.6×
Tamara Sajevic · 1×
Citations per year

Countries citing papers authored by Stephen Earl

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Earl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Stephen Earl, 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 Stephen Earl Line = papers co-authored together Stephen Earl links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200783
2 200562
3 200550
4 200839
5 201033
6 201132
7 200630
8 200725
9 201016
10
Snake venom nerve growth factors.
200913

About Stephen Earl

Stephen Earl is a scholar working on Genetics, Pharmacology, Global and Planetary Change, Molecular Biology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 383 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (10 papers), Healthcare and Venom Research (3 papers), Amphibian and Reptile Biology (3 papers), Rabies epidemiology and control (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Neurobiology and Insect Physiology Research (1 paper), Ion channel regulation and function (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Virology (164 citations), Genetics (353 citations), Paleontology (85 citations), Microbiology (44 citations) and Pharmacology (47 citations). Stephen Earl has collaborated with scholars based in Australia and Japan. Frequent co-authors include Martin F. Lavin, Paul P. Masci, John de Jersey, Geoffrey W. Birrell, Jeffrey J. Gorman, Tristan P. Wallis, Liam St. Pierre, Rick Woods, Н. И. Сорокина and I V Filippovich. Their work appears in journals such as Biochimie, Cellular and Molecular Life Sciences, Molecular & Cellular Proteomics, PROTEOMICS and Toxicon.

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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