Michael S. Serfas
- Molecular Biology
- Oncology top 10%
- Genetics
- Cancer Research
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Angela L. TynerAndrei L. GartelRobert D. ReedEugene GoufmanYoung Hye KwonSean B. CarrollAleksandra JovanovićGen Sheng Wu
- Topics
- Cancer-related Molecular Pathways (6 papers)Pancreatic and Hepatic Oncology Research (2 papers)Liver physiology and pathology (2 papers)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Michael S. Serfas
13 papers receiving 970 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 648
- Oncology 440
- Genetics 165
- Cancer Research 126
- Ecology, Evolution, Behavior and Systematics 99
Countries citing papers authored by Michael S. Serfas
This map shows the geographic impact of Michael S. Serfas'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 Michael S. Serfas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Serfas more than expected).
Fields of papers citing papers by Michael S. Serfas
This network shows the impact of papers produced by Michael S. Serfas. 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 Michael S. Serfas. The network helps show where Michael S. Serfas may publish in the future.
Co-authorship network of co-authors of Michael S. Serfas
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Serfas. A scholar is included among the top collaborators of Michael S. Serfas 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 Michael S. Serfas. Michael S. Serfas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 115 | |
| 3 | 16 | |
| 4 | 37 | |
| 5 | 87 | |
| 6 | 34 | |
| 7 | BRK/Sik expression in the gastrointestinal tract and in colon tumors. | 94 |
| 8 | 13 | |
| 9 | p53-independent induction of p21WAF1/CIP1 expression in pericentral hepatocytes following carbon tetrachloride intoxication. | 33 |
| 10 | 109 | |
| 11 | 341 | |
| 12 | Tyrosine kinase gene expression in the mouse small intestine. | 52 |
| 13 | 21 |
About Michael S. Serfas
Michael S. Serfas is a scholar working on Oncology, Hepatology and Ecology, Evolution, Behavior and Systematics, having authored 13 papers that have together received 985 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Oncology (440 citations), Molecular Biology (648 citations) and Cancer Research (126 citations). Michael S. Serfas has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Angela L. Tyner, Andrei L. Gartel, Robert D. Reed, Eugene Goufman, Young Hye Kwon, Sean B. Carroll, Aleksandra Jovanović, Gen Sheng Wu, Wafik S. El‐Deiry and Ilya Mazo. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and Current 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.