Jeff Skinner

5.3k citations
47 papers · 2.4k · h-index 25

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Complement system in diseases

Papers in

Jeff Skinner

47 papers receiving 2.4k citations

Peers

Jeff Skinner
Comparison fields: 5 of 117
  • Virology 373
  • Immunology 977
  • Public Health, Environmental and Occupational Health 680
  • Infectious Diseases 306
  • Parasitology 76
Replace Michael R. Beard with:
Michael R. Beard Australia
Fredrik Vannberg United States
Zoltán Beck United States
Weiping Cao United States
Andrew N. Harman Australia
Nuria Izquierdo‐Useros Spain
Silvia Ghezzi Italy
Irene Ramos United States
Anna George India
Michelle Wykes Australia
Jeff Skinner relative to Michael R. Beard Australia Michael R. Beard's profile →
Citations per field
00.5×1.5×
Michael R. Beard · 1×
Citations per year

Countries citing papers authored by Jeff Skinner

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Skinner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010230
2 2015221
3 2018173
4 2015168
5 2015133
6 2014126
7 2017115
8 201194
9 200991
10 201490
11 201490
12 201276
13 201169
14 201364
15 201361
16 201847
17 202140
18 201540
19 201536
20 201536

About Jeff Skinner

Jeff Skinner is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Molecular Biology, Infectious Diseases and Virology, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Malaria Research and Control (13 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (9 papers), Mosquito-borne diseases and control (9 papers), HIV Research and Treatment (7 papers), Immunotherapy and Immune Responses (5 papers), Molecular Biology Techniques and Applications (4 papers) and Complement system in diseases (4 papers). The work is most often cited by research in Virology (373 citations), Immunology (977 citations), Public Health, Environmental and Occupational Health (680 citations), Infectious Diseases (306 citations) and Parasitology (76 citations). Jeff Skinner has collaborated with scholars based in United States, Mali and United Kingdom. Frequent co-authors include Peter D. Crompton, Shanping Li, Ogobara K. Doumbo, Sílvia Portugal, Aïssata Ongoïba, Peter D. Kwong, Kassoum Kayentao, Richard T. Wyatt, F. Javier Guenaga and Gilad Ofek. Their work appears in journals such as The Journal of Immunology, PLoS ONE, PLoS Pathogens, Infection and Immunity and Journal of Virology.

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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