S Michelson

492 citations
29 papers · 410 indexed · h-index 13

S Michelson

29 papers receiving 397 citations

Peers

S Michelson
Comparison fields: 5 of 73
  • Modeling and Simulation 192
  • Cancer Research 145
  • Oncology 148
  • Hepatology 33
  • Cell Biology 51
Replace Yuri Kogan with:
Yuri Kogan Israel
S. Vuk‐Pavlović United States
Stefan Höhme Germany
Fee Klupp Germany
Eliezer Shochat Switzerland
John P. Sinek United States
Dirk Schumacher Germany
Chin Wee Tan Australia
Satwik Rajaram United States
Christopher D. McFarland United States
S Michelson relative to Yuri Kogan Israel Yuri Kogan's profile →
Citations per field
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Yuri Kogan · 1×
Citations per year

Countries citing papers authored by S Michelson

Since Specialization
Citations

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

Fields of papers citing papers by S Michelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside S 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 S Michelson Line = papers co-authored together S Michelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Drug discovery, drug development and the emerging world of pharmacogenomics: prospecting for information in a data-rich landscape.
200010
2 199720
3 199516
4 199510
5 199536
6 19957
7 19946
8 199323
9 199225
10 19912
11 199129
12 19901
13
Tumor radiocurability: relationship to intrinsic tumor heterogeneity and to the tumor bed effect.
199012
14 19904
15 19896
16 198734
17 198758
18 19873
19
Facilitation of emergence of multidrug-resistant state by alteration of tumor environment: implications from competitive ecology models.
19874
20 19861

About S Michelson

S Michelson is a scholar working on Modeling and Simulation, Cancer Research and Oncology, having authored 29 papers that have together received 410 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (14 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cancer Cells and Metastasis (7 papers), Cancer Genomics and Diagnostics (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Liver physiology and pathology (3 papers), Evolution and Genetic Dynamics (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Modeling and Simulation (192 citations), Cancer Research (145 citations) and Oncology (148 citations). S Michelson has collaborated with scholars based in United States, Poland and Netherlands. Frequent co-authors include John T. Leith, Arvin S. Glicksman, Brian Miller, Doris L. Slate, Kazufumi Ito, Glicksman As, Hien Tran, Paulien Hogeweg and Rob J. de Boer. Their work appears in journals such as The Journal of Immunology, British Journal of Cancer and Journal of Theoretical Biology.

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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