Travis Stams
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Enzyme function and inhibition
- Protein Tyrosine Phosphatases
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Toxicology top 5%
Papers in
-
- Enzyme function and inhibition 3
- Protein Tyrosine Phosphatases 3
- Oncology 4
- Peptidase Inhibition and Analysis 3
- Co-authors
- David W. Christianson (4 shared papers)Carol A. Fierke (2 shared papers)Sharon M. Crary (1 shared paper)Michael D. Shultz (4 shared papers)Abdül Waheed (1 shared paper)Satish K. Nair (1 shared paper)William S. Sly (1 shared paper)David W. Christianson (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Bioorganic & Medicinal Chemistry (2 papers)Protein Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Travis Stams
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 976
- Toxicology 36
- Oncology 256
- Cancer Research 117
- Physical and Theoretical Chemistry 60
Countries citing papers authored by Travis Stams
This map shows the geographic impact of Travis Stams'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 Travis Stams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Stams more than expected).
Fields of papers citing papers by Travis Stams
This network shows the impact of papers produced by Travis Stams. 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 Travis Stams. The network helps show where Travis Stams may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Stams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 140 | |
| 2 | 1994 | 133 | |
| 3 | 2011 | 130 | |
| 4 | 1998 | 121 | |
| 5 | 1996 | 117 | |
| 6 | 2018 | 109 | |
| 7 | 1998 | 83 | |
| 8 | 2012 | 58 | |
| 9 | 2016 | 48 | |
| 10 | 2017 | 44 | |
| 11 | 2012 | 41 | |
| 12 | 2000 | 40 | |
| 13 | 2017 | 33 | |
| 14 | 2008 | 28 | |
| 15 | 2013 | 24 | |
| 16 | 2018 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 1995 | 4 |
About Travis Stams
Travis Stams is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Materials Chemistry, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (3 papers), Enzyme function and inhibition (3 papers), Enzyme Structure and Function (3 papers), Peptidase Inhibition and Analysis (3 papers), Protein Tyrosine Phosphatases (3 papers), Bacterial Genetics and Biotechnology (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (976 citations), Toxicology (36 citations), Oncology (256 citations), Cancer Research (117 citations) and Physical and Theoretical Chemistry (60 citations). Travis Stams has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include David W. Christianson, Carol A. Fierke, Sharon M. Crary, Michael D. Shultz, Abdül Waheed, Satish K. Nair, William S. Sly, David W. Christianson, Torayuki Okuyama and Ping Wang. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Protein Science, Proceedings of the National Academy of Sciences and Scientific Reports.
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.