Seth Michelson

623 citations
52 papers · 527 · h-index 14

Impact in

Papers in

Seth Michelson

47 papers receiving 476 citations

Peers

Seth Michelson
Comparison fields: 5 of 87
  • Modeling and Simulation 143
  • Cancer Research 101
  • Oncology 114
  • Radiology, Nuclear Medicine and Imaging 71
  • Molecular Biology 201
Replace Massimiliano Germani with:
Massimiliano Germani Italy
Mohammad Jafarnejad United States
S Michelson United States
Jarosław Śmieja Poland
Yafei Wang China
Clare Lamont United States
S. Vuk‐Pavlović United States
Yo Sup Moon United States
Alvaro Köhn-Luque Norway
Jonathan Tang United States
Seth Michelson relative to Massimiliano Germani Italy Massimiliano Germani's profile →
Citations per field
00.5×1.5×
Massimiliano Germani · 1×
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 24 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199347
2
Growth properties of artificial heterogeneous human colon tumors.
198743
3 199443
4 199133
5
Hypoxic fractions in xenografted human colon tumors.
199128
6 199227
7 200626
8 199422
9 199321
10 199117
11 200617
12 199115
13 199515
14 199715
15 199113
16 199313
17 198811
18 198811
19 199211
20 20039

About Seth Michelson

Seth Michelson is a scholar working on Modeling and Simulation, Oncology, Cancer Research, Molecular Biology and Computational Theory and Mathematics, having authored 52 papers that have together received 527 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (12 papers), Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Computational Drug Discovery Methods (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer Cells and Metastasis (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Modeling and Simulation (143 citations), Cancer Research (101 citations), Oncology (114 citations), Radiology, Nuclear Medicine and Imaging (71 citations) and Molecular Biology (201 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, Anil Sehgal, Aleck A. Hercbergs, Aleš Prokop, Richard M. Eglen, Edward Leung, István Győri and Timothy L. Schofield. Their work appears in journals such as Bulletin of Mathematical Biology, International Journal of Radiation Oncology*Biology*Physics, Journal of Theoretical Biology, Critical Care Medicine and Radiation Research.

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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