Todd Hembrough

4.5k citations
71 papers · 2.3k · h-index 25

Impact in

    • Cancer Genomics and Diagnostics
    • Protease and Inhibitor Mechanisms
  • Hematology top 2%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • HER2/EGFR in Cancer Research 9
    • Colorectal Cancer Treatments and Studies 6
    • Cancer Genomics and Diagnostics 16

Todd Hembrough

66 papers receiving 2.2k citations

Peers

Todd Hembrough
Comparison fields: 5 of 95
  • Cancer Research 653
  • Hematology 398
  • Oncology 880
  • Genetics 232
  • Immunology and Allergy 117
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Kolja Eppert Canada
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Kazuo Gohji Japan
Max Chaffanet France
Nathalie A. Lokker United States
María J. Pajares Spain
Robert L. Cohen United States
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Citations per year

Countries citing papers authored by Todd Hembrough

Since Specialization
Citations

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

Fields of papers citing papers by Todd Hembrough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017349
2 2020221
3 2006164
4
Tissue factor/factor VIIa inhibitors block angiogenesis and tumor growth through a nonhemostatic mechanism.
2003160
5 2010109
6 1995104
7 199690
8 201879
9 200769
10 201568
11 200165
12 202058
13 202054
14 201250
15 199649
16 201348
17 200446
18 201440
19 202040
20 201633

About Todd Hembrough

Todd Hembrough is a scholar working on Oncology, Cancer Research, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), Cancer Genomics and Diagnostics (16 papers), HER2/EGFR in Cancer Research (9 papers), Lung Cancer Treatments and Mutations (8 papers), Advanced Biosensing Techniques and Applications (7 papers), Advanced Proteomics Techniques and Applications (7 papers), Cell Adhesion Molecules Research (6 papers) and Colorectal Cancer Treatments and Studies (6 papers). The work is most often cited by research in Cancer Research (653 citations), Hematology (398 citations), Oncology (880 citations), Genetics (232 citations) and Immunology and Allergy (117 citations). Todd Hembrough has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Steven L. Gonias, Franco Cecchi, Li Li, Adonia E. Papathanassiu, Shawn J. Green, Glenn M. Swartz, Lynette Dunning, Elizabeth B. Kelso, John C. Lockhart and Victor S. Pribluda. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Journal of Thoracic Oncology, Annals of Oncology and Molecular Cancer Therapeutics.

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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