R. M. Warn

2.5k citations
52 papers · 2.1k · h-index 27

Impact in

    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
  • Hepatology top 5%
    • Liver physiology and pathology

Papers in

R. M. Warn

52 papers receiving 2.0k citations

Peers

R. M. Warn
Comparison fields: 5 of 119
  • Cell Biology 915
  • Hepatology 182
  • Aging 36
  • Molecular Biology 1.2k
  • Immunology and Allergy 68
Replace Ana María Vallés with:
Ana María Vallés France
Anirban Datta United States
F. Amalric France
Fernando Martín‐Belmonte Spain
Bernhard Schmierer United Kingdom
Tilman Borggrefe Germany
Aster Legesse-Miller United States
Zenta Walther United States
George K. Ojakian United States
Elizabeth L. Evans United States
R. M. Warn relative to Ana María Vallés France Ana María Vallés's profile →
Citations per field
00.5×2.6×
Ana María Vallés · 1×
Citations per year

Countries citing papers authored by R. M. Warn

Since Specialization
Citations

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

Fields of papers citing papers by R. M. Warn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. M. Warn. 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 R. M. Warn. The network helps show where R. M. Warn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994172
2 1994159
3
Circular ruffle formation and closure lead to macropinocytosis in hepatocyte growth factor/scatter factor-treated cells.
1993126
4 2004122
5 1984107
6 198597
7 198681
8 198380
9 198771
10 199665
11 200060
12 200059
13 198649
14 198548
15 199046
16 199546
17 200146
18 199639
19 198036
20 199635

About R. M. Warn

R. M. Warn is a scholar working on Molecular Biology, Cell Biology, Hepatology, Genetics and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (18 papers), Cellular Mechanics and Interactions (11 papers), Liver physiology and pathology (9 papers), Reproductive Biology and Fertility (5 papers), Plant Molecular Biology Research (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Animal Genetics and Reproduction (3 papers) and Plant Reproductive Biology (3 papers). The work is most often cited by research in Cell Biology (915 citations), Hepatology (182 citations), Aging (36 citations), Molecular Biology (1.2k citations) and Immunology and Allergy (68 citations). R. M. Warn has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include A Warn, R. Magrath, Peter Shaw, Clive Lloyd, Ming Yuan, Alan R. Prescott, Laurie G. Smith, Sarah Webb, Dylan R. Edwards and Rudolf Valenta. Their work appears in journals such as Journal of Cell Science, Experimental Cell Research, Nature, British Journal of Cancer and The Journal of Cell Biology.

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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