David Toma
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
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- Hormonal Regulation and Hypertension
Papers in
- Oncology 5
- Drug Transport and Resistance Mechanisms 5
-
- Pharmacogenetics and Drug Metabolism 5
- Pharmacological Effects of Natural Compounds 1
- Co-authors
- Wen Xie (8 shared papers)Songrong Ren (7 shared papers)Hirdesh Uppal (4 shared papers)Ying Mu (5 shared papers)Ronald M. Evans (2 shared papers)S. P. S. Saini (5 shared papers)Haibiao Gong (4 shared papers)Jie Zhou (2 shared papers)
- Journals
- Hepatology (2 papers)Molecular Pharmacology (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Frontiers in Oncology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesChinaSlovakia
In The Last Decade
David Toma
12 papers receiving 957 citations
Peers
Comparison fields: 5 of 91
- Pharmacology 412
- Endocrinology, Diabetes and Metabolism 230
- Oncology 309
- Biochemistry 61
- Genetics 160
Countries citing papers authored by David Toma
This map shows the geographic impact of David Toma'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 David Toma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Toma more than expected).
Fields of papers citing papers by David Toma
This network shows the impact of papers produced by David Toma. 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 David Toma. The network helps show where David Toma may publish in the future.
Co-authors
The 25 scholars most cited alongside David Toma, 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 | 2006 | 303 | |
| 2 | 2004 | 200 | |
| 3 | 2006 | 135 | |
| 4 | 2005 | 88 | |
| 5 | 2005 | 87 | |
| 6 | 2005 | 70 | |
| 7 | 2021 | 35 | |
| 8 | 2005 | 22 | |
| 9 | 2021 | 14 | |
| 10 | 2007 | 7 | |
| 11 | 2022 | 3 | |
| 12 | 1993 | 1 |
About David Toma
David Toma is a scholar working on Oncology, Pharmacology, Molecular Biology, Epidemiology and Genetics, having authored 12 papers that have together received 965 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Meningioma and schwannoma management (2 papers), Glioma Diagnosis and Treatment (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Estrogen and related hormone effects (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Pharmacology (412 citations), Endocrinology, Diabetes and Metabolism (230 citations), Oncology (309 citations), Biochemistry (61 citations) and Genetics (160 citations). David Toma has collaborated with scholars based in United States, China and Slovakia. Frequent co-authors include Wen Xie, Songrong Ren, Hirdesh Uppal, Ying Mu, Ronald M. Evans, S. P. S. Saini, Haibiao Gong, Jie Zhou, Yonggong Zhai and David D. Moore. Their work appears in journals such as Hepatology, Molecular Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Frontiers in Oncology and Journal of Biological Chemistry.
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.