Warren Kaplan

5.6k citations
39 papers · 1.8k indexed · h-index 26

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • MicroRNA in disease regulation 3
    • Cancer Genomics and Diagnostics 3
    • Genomics, phytochemicals, and oxidative stress 4
    • Glutathione Transferases and Polymorphisms 3

Warren Kaplan

38 papers receiving 1.8k citations

Peers

Warren Kaplan
Comparison fields: 5 of 104
  • Immunology 445
  • Cancer Research 281
  • Molecular Biology 931
  • Virology 49
  • Endocrinology, Diabetes and Metabolism 162
Replace Akiko Furuya with:
Akiko Furuya Japan
Karl X. Chai United States
Alla Pritsker United States
M Alexander United States
Jean-Philippe Stéphan France
Eiji Takayama Japan
Joshua N. Finger United States
Alex Kuo United States
Fernando Segade United States
Hanne L. Ostergaard Canada
Warren Kaplan relative to Akiko Furuya Japan Akiko Furuya's profile →
Citations per field
00.5×1.5×
Akiko Furuya · 1×
Citations per year

Countries citing papers authored by Warren Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Warren Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202016
2 201819
3 2017207
4 2015142
5 201540
6 201428
7 201459
8 20129
9 201127
10 201134
11 201123
12 201024
13 2010138
14 200986
15 200810
16 200740
17
Informative 3D visualization of multiple protein structures
20043
18 200366
19 1997116
20 199632

About Warren Kaplan

Warren Kaplan is a scholar working on Cancer Research, Molecular Biology, Genetics, Physiology and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Immune Cell Function and Interaction (4 papers), Genomics and Rare Diseases (3 papers), MicroRNA in disease regulation (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer Genomics and Diagnostics (3 papers) and Glutathione Transferases and Polymorphisms (3 papers). The work is most often cited by research in Immunology (445 citations), Cancer Research (281 citations), Molecular Biology (931 citations), Virology (49 citations) and Endocrinology, Diabetes and Metabolism (162 citations). Warren Kaplan has collaborated with scholars based in Australia, United States and South Africa. Frequent co-authors include Mark J. Cowley, Heini W. Dirr, Julija Erhardt, Robert Brink, Katherine Bourne, Nicolas Sluis‐Cremer, Dan Suan, Jana R. Hermes, Anthony D. Kelleher and H. Klump. Their work appears in journals such as European Journal of Human Genetics, The Journal of Immunology, Cell Transplantation, The Journal of Clinical Endocrinology & Metabolism and BMC Genomics.

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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