Mark D. Starr

2.8k citations
49 papers · 1.9k indexed · h-index 21

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Zebrafish Biomedical Research Applications

Papers in

    • Colorectal Cancer Treatments and Studies 8
    • Cancer Cells and Metastasis 4

Mark D. Starr

48 papers receiving 1.9k citations

Peers

Mark D. Starr
Comparison fields: 5 of 122
  • Immunology 606
  • Cell Biology 419
  • Immunology and Allergy 144
  • Oncology 571
  • Hematology 212
Replace Daniel B. Constam with:
Daniel B. Constam Switzerland
Linda Yang United States
Andreas H. Kottmann United States
Ananda L. Roy United States
Barbara Moepps Germany
Della Yee United States
Paul W. Cook United States
Alan Y. Sakaguchi United States
Andrea Hellwig Germany
Shirley Pease United States
Mark D. Starr relative to Daniel B. Constam Switzerland Daniel B. Constam's profile →
Citations per field
00.5×3.1×
Daniel B. Constam · 1×
Citations per year

Countries citing papers authored by Mark D. Starr

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998380
2 2003260
3 2020187
4 2001135
5 201397
6 197793
7 201382
8 201678
9 201357
10 199143
11 201438
12 201132
13 201430
14 198429
15 202227
16 201927
17 201324
18 201423
19 201422
20 201321

About Mark D. Starr

Mark D. Starr is a scholar working on Oncology, Equine, Cancer Research, Hematology and Hepatology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (8 papers), TGF-β signaling in diseases (8 papers), Angiogenesis and VEGF in Cancer (8 papers), Cancer, Hypoxia, and Metabolism (5 papers), Lung Cancer Treatments and Mutations (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Genetic factors in colorectal cancer (4 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Immunology (606 citations), Cell Biology (419 citations), Immunology and Allergy (144 citations), Oncology (571 citations) and Hematology (212 citations). Mark D. Starr has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Andrew B. Nixon, Mervin C. Yöder, Susan Mineka, S.A. Johnson, Xiaodong Xie, Michael J. Ferkowicz, Weiming Li, W. Christopher Shelley, Paul R. Morrison and Herbert I. Hurwitz. Their work appears in journals such as Journal of Clinical Oncology, Cancer Medicine, Journal of Clinical Investigation, Molecular Cancer Therapeutics and Developmental Psychology.

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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