Pramod Terse
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Hemoglobinopathies and Related Disorders
Papers in
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- Epigenetics and DNA Methylation 2
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- Drug-Induced Hepatotoxicity and Protection 4
- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- Kenneth K. Chan (3 shared papers)Yogen Saunthararajah (3 shared papers)Joseph M. Covey (3 shared papers)Yonghua Ling (3 shared papers)Kory J. Engelke (3 shared papers)Reda Z. Mahfouz (2 shared papers)R. R. Dalvi (3 shared papers)Tomas Radivoyevitch (1 shared paper)
- Journals
- Regulatory Toxicology and Pharmacology (6 papers)Clinical Cancer Research (1 paper)Brain Research (1 paper)PLoS ONE (1 paper)Blood (1 paper)
- Partner nations
- United StatesNew ZealandCanada
In The Last Decade
Pramod Terse
29 papers receiving 481 citations
Peers
Comparison fields: 5 of 75
- Hematology 89
- Genetics 59
- Developmental Neuroscience 13
- Molecular Biology 208
- Cancer Research 39
Countries citing papers authored by Pramod Terse
This map shows the geographic impact of Pramod Terse'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 Pramod Terse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pramod Terse more than expected).
Fields of papers citing papers by Pramod Terse
This network shows the impact of papers produced by Pramod Terse. 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 Pramod Terse. The network helps show where Pramod Terse may publish in the future.
Co-authors
The 25 scholars most cited alongside Pramod Terse, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 106 | |
| 2 | 2011 | 72 | |
| 3 | 2017 | 47 | |
| 4 | 2020 | 39 | |
| 5 | 2016 | 35 | |
| 6 | 1993 | 23 | |
| 7 | 2016 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2022 | 18 | |
| 10 | 1990 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2014 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 1990 | 8 | |
| 16 | 1990 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 1997 | 5 |
About Pramod Terse
Pramod Terse is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 31 papers that have together received 490 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (4 papers), Muscle metabolism and nutrition (3 papers), Virus-based gene therapy research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers), Epilepsy research and treatment (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Hematology (89 citations), Genetics (59 citations), Developmental Neuroscience (13 citations), Molecular Biology (208 citations) and Cancer Research (39 citations). Pramod Terse has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Kenneth K. Chan, Yogen Saunthararajah, Joseph M. Covey, Yonghua Ling, Kory J. Engelke, Reda Z. Mahfouz, R. R. Dalvi, Tomas Radivoyevitch, Quteba Ebrahem and Xiaorong Gu. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Clinical Cancer Research, Brain Research, PLoS ONE and Blood.
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.