James T. Slama
Impact in
- Physiology top 0.2%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
Papers in
- Physiology 27
- Calcium signaling and nucleotide metabolism 23
- Adenosine and Purinergic Signaling 6
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- Biochemical and Molecular Research 3
- Co-authors
- Rolf Sternglanz (1 shared paper)Joseph W. Landry (1 shared paper)Timothy F. Walseth (16 shared papers)Jonathan S. Marchant (11 shared papers)John M. Denu (1 shared paper)Michael Langer (1 shared paper)Margie T. Borra (1 shared paper)Gregory S. Taylor (2 shared papers)
- Journals
- Biochemistry (9 papers)Journal of Medicinal Chemistry (7 papers)Journal of Biological Chemistry (4 papers)Journal of the American Chemical Society (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- United StatesUnited KingdomBulgaria
In The Last Decade
James T. Slama
50 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Physiology 699
- Geriatrics and Gerontology 370
- Sensory Systems 231
- Aging 34
- Pharmacology 110
Countries citing papers authored by James T. Slama
This map shows the geographic impact of James T. Slama'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 James T. Slama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Slama more than expected).
Fields of papers citing papers by James T. Slama
This network shows the impact of papers produced by James T. Slama. 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 James T. Slama. The network helps show where James T. Slama may publish in the future.
Co-authors
The 25 scholars most cited alongside James T. Slama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 211 | |
| 2 | 2004 | 181 | |
| 3 | 2011 | 137 | |
| 4 | 2011 | 105 | |
| 5 | 2000 | 102 | |
| 6 | 2021 | 72 | |
| 7 | 1995 | 68 | |
| 8 | 2004 | 57 | |
| 9 | 2007 | 55 | |
| 10 | 2001 | 53 | |
| 11 | 2012 | 45 | |
| 12 | 1988 | 34 | |
| 13 | 2003 | 29 | |
| 14 | 1975 | 28 | |
| 15 | 2003 | 27 | |
| 16 | 1998 | 27 | |
| 17 | 1995 | 24 | |
| 18 | 1984 | 24 | |
| 19 | 1989 | 23 | |
| 20 | 2021 | 21 |
About James T. Slama
James T. Slama is a scholar working on Physiology, Molecular Biology, Oncology, Organic Chemistry and Pharmacology, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (23 papers), PARP inhibition in cancer therapy (9 papers), Adenosine and Purinergic Signaling (6 papers), Sirtuins and Resveratrol in Medicine (5 papers), Piperaceae Chemical and Biological Studies (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Ion Channels and Receptors (4 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Physiology (699 citations), Geriatrics and Gerontology (370 citations), Sensory Systems (231 citations), Aging (34 citations) and Pharmacology (110 citations). James T. Slama has collaborated with scholars based in United States, United Kingdom and Bulgaria. Frequent co-authors include Rolf Sternglanz, Joseph W. Landry, Timothy F. Walseth, Jonathan S. Marchant, John M. Denu, Michael Langer, Margie T. Borra, Gregory S. Taylor, Yaping Lin-Moshier and Myron K. Jacobson. Their work appears in journals such as Biochemistry, Journal of Medicinal Chemistry, Journal of Biological Chemistry, Journal of the American Chemical Society and Biochemical and Biophysical Research Communications.
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.