Tanima De
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Epigenetics and DNA Methylation 3
- Genetics 6
- Genetic Associations and Epidemiology 6
- Co-authors
- Rita Christopher (8 shared papers)Minoli A. Perera (7 shared papers)D Nagaraja (4 shared papers)Honghong Zhang (1 shared paper)Cristina Alarcón (4 shared papers)Wenndy Hernandez (1 shared paper)Larisa H. Cavallari (1 shared paper)Julio D. Duarte (1 shared paper)
- Journals
- Clinical Biochemistry (2 papers)Journal of Clinical Laboratory Analysis (2 papers)JAMA (1 paper)The American Journal of Human Genetics (1 paper)The Annual Review of Pharmacology and Toxicology (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Tanima De
15 papers receiving 208 citations
Peers
Comparison fields: 5 of 64
- Clinical Biochemistry 54
- Pharmacology 46
- Pediatrics, Perinatology and Child Health 54
- Internal Medicine 8
- Genetics 48
Countries citing papers authored by Tanima De
This map shows the geographic impact of Tanima De'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 Tanima De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanima De more than expected).
Fields of papers citing papers by Tanima De
This network shows the impact of papers produced by Tanima De. 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 Tanima De. The network helps show where Tanima De may publish in the future.
Co-authors
The 13 scholars most cited alongside Tanima De, 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 | 2009 | 47 | |
| 2 | 2019 | 37 | |
| 3 | 2018 | 24 | |
| 4 | 2018 | 18 | |
| 5 | 2012 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2014 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2019 | 9 | |
| 10 | 2011 | 8 | |
| 11 | 2014 | 5 | |
| 12 | 2017 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2014 | 0 |
About Tanima De
Tanima De is a scholar working on Molecular Biology, Genetics, Pharmacology, Internal Medicine and Epidemiology, having authored 16 papers that have together received 210 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Epigenetics and DNA Methylation (3 papers), Metabolism and Genetic Disorders (2 papers), Lysosomal Storage Disorders Research (2 papers), Renin-Angiotensin System Studies (2 papers) and Cerebral Venous Sinus Thrombosis (2 papers). The work is most often cited by research in Clinical Biochemistry (54 citations), Pharmacology (46 citations), Pediatrics, Perinatology and Child Health (54 citations), Internal Medicine (8 citations) and Genetics (48 citations). Tanima De has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Rita Christopher, Minoli A. Perera, D Nagaraja, Honghong Zhang, Cristina Alarcón, Wenndy Hernandez, Larisa H. Cavallari, Julio D. Duarte, Yilin Xu and Yi Zhong. Their work appears in journals such as Clinical Biochemistry, Journal of Clinical Laboratory Analysis, JAMA, The American Journal of Human Genetics and The Annual Review of Pharmacology and Toxicology.
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.