R. Mark Simpson

1.9k citations
31 papers · 967 · h-index 16

Impact in

Papers in

    • Molecular Biology Techniques and Applications 5
    • Melanoma and MAPK Pathways 3
    • RNA Research and Splicing 2
    • Cancer Cells and Metastasis 4
    • Cutaneous Melanoma Detection and Management 2

R. Mark Simpson

30 papers receiving 948 citations

Peers

R. Mark Simpson
Comparison fields: 5 of 95
  • Parasitology 100
  • Oncology 304
  • Cancer Research 148
  • Immunology 190
  • Immunology and Allergy 54
Replace Irene Kuhn with:
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Winfried G.J. Degen Netherlands
Yasmine M. Hijazi United States
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Citations per field
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Citations per year

Countries citing papers authored by R. Mark Simpson

Since Specialization
Citations

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

Fields of papers citing papers by R. Mark Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010308
2 201881
3 199180
4 201372
5 201636
6 201433
7 202132
8 201129
9
Experimental acute adult T cell leukemia-lymphoma is associated with thymic atrophy in human T cell leukemia virus type I infection.
199628
10 201428
11 198922
12 199621
13 201319
14 199218
15 201418
16 201716
17 202015
18 198815
19 200515
20 201214

About R. Mark Simpson

R. Mark Simpson is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 31 papers that have together received 967 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), Cancer Cells and Metastasis (4 papers), Melanoma and MAPK Pathways (3 papers), Cancer Genomics and Diagnostics (3 papers), Immunotherapy and Immune Responses (3 papers), AI in cancer detection (3 papers), Cutaneous Melanoma Detection and Management (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Parasitology (100 citations), Oncology (304 citations), Cancer Research (148 citations), Immunology (190 citations) and Immunology and Allergy (54 citations). R. Mark Simpson has collaborated with scholars based in United States, China and Somalia. Frequent co-authors include Shelley Hoover, Joshua D. Webster, Aleksandra M. Michalowski, Bih‐Rong Wei, A. Sally Davis, Lara H. El Touny, Jack Gauldie, Jeffrey E. Green, Isabel Chu and Dalit Barkan. Their work appears in journals such as The Prostate, Journal of Proteome Research, Nature Communications, Journal of Investigative Dermatology and International Journal of Biological Sciences.

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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