John C. Ulrich
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
- Oncology 3
- PARP inhibition in cancer therapy 2
-
- Calcium signaling and nucleotide metabolism 3
- Adenosine and Purinergic Signaling 1
- Co-authors
- Toshikazu Okada (1 shared paper)Ph. U. Heitz (1 shared paper)H. Möhler (1 shared paper)Barry G. Shearer (3 shared papers)Michael R. Jeune (3 shared papers)Raymond V. Merrihew (2 shared papers)Todd Shearer (2 shared papers)Lisa M. Leesnitzer (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)Bioorganic & Medicinal Chemistry (1 paper)Skeletal Muscle (1 paper)Life Sciences (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
John C. Ulrich
7 papers receiving 382 citations
Peers
Comparison fields: 5 of 71
- Physiology 77
- Geriatrics and Gerontology 32
- Cellular and Molecular Neuroscience 156
- Biological Psychiatry 8
- Cognitive Neuroscience 56
Countries citing papers authored by John C. Ulrich
This map shows the geographic impact of John C. Ulrich'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 John C. Ulrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Ulrich more than expected).
Fields of papers citing papers by John C. Ulrich
This network shows the impact of papers produced by John C. Ulrich. 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 John C. Ulrich. The network helps show where John C. Ulrich may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Ulrich, 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 | 1978 | 207 | |
| 2 | 2010 | 62 | |
| 3 | 2015 | 45 | |
| 4 | 2015 | 31 | |
| 5 | 2015 | 26 | |
| 6 | 2020 | 14 | |
| 7 | 2018 | 13 |
About John C. Ulrich
John C. Ulrich is a scholar working on Oncology, Physiology, Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 398 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (3 papers), PARP inhibition in cancer therapy (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Estrogen and related hormone effects (1 paper), Hormonal Regulation and Hypertension (1 paper), Epilepsy research and treatment (1 paper), Hormonal and reproductive studies (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Physiology (77 citations), Geriatrics and Gerontology (32 citations), Cellular and Molecular Neuroscience (156 citations), Biological Psychiatry (8 citations) and Cognitive Neuroscience (56 citations). John C. Ulrich has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Toshikazu Okada, Ph. U. Heitz, H. Möhler, Barry G. Shearer, Michael R. Jeune, Raymond V. Merrihew, Todd Shearer, Lisa M. Leesnitzer, Andrew N. Billin and Curt D. Haffner. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Skeletal Muscle, Life Sciences and ACS Medicinal Chemistry Letters.
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.