Seth Michelson
- Molecular Biology
- Modeling and Simulation top 2%
- Oncology
- Cancer Research
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- John T. LeithDoris L. SlateHoward SchulmanAleck HercbergsAnil SehgalEdward LeungRichard M. EglenDaniel L. Young
- Topics
- Mathematical Biology Tumor Growth (10 papers)Cancer, Hypoxia, and Metabolism (6 papers)Drug Transport and Resistance Mechanisms (6 papers)
- Journals
- Journal of the American Statistical AssociationJNCI Journal of the National Cancer InstituteClinical Cancer Research
- Partner nations
- United StatesPolandHungary
In The Last Decade
Seth Michelson
35 papers receiving 439 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 183
- Modeling and Simulation 127
- Oncology 119
- Cancer Research 101
- Radiology, Nuclear Medicine and Imaging 76
Countries citing papers authored by Seth Michelson
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
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-authorship network of co-authors of Seth Michelson
This figure shows the co-authorship network connecting the top 25 collaborators of Seth Michelson. A scholar is included among the top collaborators of Seth Michelson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seth Michelson. Seth Michelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 23 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 40 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 46 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 27 | |
| 15 | 29 | |
| 16 | 11 | |
| 17 | 17 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | Two-compartment stochastic models for tumor escape | 1 |
About Seth Michelson
Seth Michelson is a scholar working on Modeling and Simulation, Cancer Research and Oncology, having authored 37 papers that have together received 459 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (10 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Modeling and Simulation (127 citations), Cancer Research (101 citations) and Oncology (119 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, Edward Leung, Richard M. Eglen, Daniel L. Young, István Győri and Timothy Schofield. Their work appears in journals such as Journal of the American Statistical Association, JNCI Journal of the National Cancer Institute and Clinical Cancer 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.