Seth Michelson

619 citations
37 papers · 460 · h-index 14

Impact in

Papers in

    • Gene Regulatory Network Analysis 3
    • DNA Repair Mechanisms 2
    • Drug Transport and Resistance Mechanisms 6
    • Cancer Cells and Metastasis 4

Seth Michelson

35 papers receiving 441 citations

Peers

Seth Michelson
Comparison fields: 5 of 84
  • Modeling and Simulation 127
  • Cancer Research 87
  • Oncology 111
  • Radiology, Nuclear Medicine and Imaging 64
  • Molecular Biology 171
Replace S Michelson with:
S Michelson United States
Mohammad Jafarnejad United States
Jarosław Śmieja Poland
Clare Lamont United States
S. Vuk‐Pavlović United States
Carly A. Bridge United States
Jonathan Tang United States
T. R. Munro United Kingdom
Karl Malakian United States
Zinnia P. Parra‐Guillén Spain
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Citations per year

Countries citing papers authored by Seth Michelson

Since Specialization
Citations

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

Fields of papers citing papers by Seth Michelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199346
2
Growth properties of artificial heterogeneous human colon tumors.
198743
3 199440
4 199129
5
Hypoxic fractions in xenografted human colon tumors.
199128
6 199227
7 200623
8 199421
9 199319
10 199116
11 199514
12 199714
13 199114
14 200613
15 199111
16 198811
17 19889
18 19929
19 19939
20 20038

About Seth Michelson

Seth Michelson is a scholar working on Molecular Biology, Oncology, Modeling and Simulation, Cancer Research and Computational Theory and Mathematics, having authored 37 papers that have together received 460 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (10 papers), Drug Transport and Resistance Mechanisms (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer Cells and Metastasis (4 papers), Cancer Genomics and Diagnostics (3 papers), Computational Drug Discovery Methods (3 papers), Gene Regulatory Network Analysis (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Modeling and Simulation (127 citations), Cancer Research (87 citations), Oncology (111 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Molecular Biology (171 citations). Seth Michelson has collaborated with scholars based in United States, Poland and Hungary. Frequent co-authors include John T. Leith, Doris L. Slate, Howard Schulman, Aleck Hercbergs, Anil Sehgal, Richard M. Eglen, Edward Leung, Daniel L. Young, Timothy Schofield and István Győri. Their work appears in journals such as Bulletin of Mathematical Biology, International Journal of Radiation Oncology*Biology*Physics, Journal of Theoretical Biology, Clinical Cancer Research and Radiotherapy and Oncology.

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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