Gary Warnes

13.8k citations
42 papers · 3.3k indexed · 2 hit papers · h-index 20
  • Immunology top 2%
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4
    • Phagocytosis and Immune Regulation 3
    • Cell death mechanisms and regulation 7
    • RNA Interference and Gene Delivery 3
    • Genomics and Chromatin Dynamics 3
  • Hematology top 5%
  • Genetics top 5%
    • Autophagy in Disease and Therapy 7
    • Cancer-related Molecular Pathways 3

Gary Warnes

42 papers receiving 3.2k citations

Hit Papers

Chromatin signatures of pluripotent cell lines1.0k20042026201120182505007501000

Peers

Gary Warnes
Comparison fields: 5 of 125
  • Immunology 1.1k
  • Molecular Biology 1.6k
  • Rheumatology 274
  • Hematology 185
  • Genetics 352
Replace Jun Cheng with:
Jun Cheng China
Kohki Kawane Japan
Zhaohui Xu United States
Sonja C. Stadler Germany
Takafumi Noma Japan
Eiko Hidaka Japan
Atsushi Takayanagi Japan
Noriko Toyama‐Sorimachi Japan
Linrong Lu China
Christopher G. Mueller France
Gary Warnes relative to Jun Cheng China Jun Cheng's profile →
Citations per field
00.5×1.5×1.8×
Jun Cheng · 1×
Citations per year

Countries citing papers authored by Gary Warnes

Since Specialization
Citations

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

Fields of papers citing papers by Gary Warnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2021137
2 202010
3 20207
4 201912
5 201919
6 201717
7 201718
8 201725
9 201481
10 201325
11 201130
12 20116
13 201065
14 200826
15 20088
16 20074
17 200664
18 200475
19
Heterozygous MDR3 missense mutation associated with intrahepatic cholestasis of pregnancy
20005
20 199613

About Gary Warnes

Gary Warnes is a scholar working on Endocrinology, Immunology and Physiology, having authored 42 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), Autophagy in Disease and Therapy (7 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), RNA Interference and Gene Delivery (3 papers), Cancer-related Molecular Pathways (3 papers), Genomics and Chromatin Dynamics (3 papers) and Phagocytosis and Immune Regulation (3 papers). The work is most often cited by research in Immunology (1.1k citations), Molecular Biology (1.6k citations) and Rheumatology (274 citations). Gary Warnes has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Michael R. Ehrenstein, Claudia Mauri, J. Grimley Evans, David Isenberg, Animesh Singh, Samantha Moore, Stephan Sauer, Amanda G. Fisher, Mikhail Spivakov and Véronique Azuara. Their work appears in journals such as APOPTOSIS, Cell Death and Disease, Cytometry Part A, Methods and Cell Cycle.

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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