Tanima De
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 6
-
- Epigenetics and DNA Methylation 3
- 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)Larisa H. Cavallari (1 shared paper)Wenndy Hernandez (1 shared paper)Julio D. Duarte (1 shared paper)
- Journals
- Journal of Clinical Laboratory Analysis (2 papers)Clinical Biochemistry (2 papers)The Annual Review of Pharmacology and Toxicology (1 paper)Clinical Pharmacology & Therapeutics (1 paper)npj Genomic Medicine (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Tanima De
16 papers receiving 218 citations
Peers
Comparison fields: 5 of 65
- Clinical Biochemistry 51
- Pharmacology 46
- Pediatrics, Perinatology and Child Health 36
- Genetics 46
- Hematology 14
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 | 41 | |
| 3 | 2018 | 24 | |
| 4 | 2018 | 20 | |
| 5 | 2012 | 19 | |
| 6 | 2020 | 17 | |
| 7 | 2014 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2019 | 9 | |
| 10 | 2011 | 8 | |
| 11 | 2014 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2014 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2014 | 1 |
About Tanima De
Tanima De is a scholar working on Genetics, Molecular Biology, Pharmacology, Epidemiology and Internal Medicine, having authored 16 papers that have together received 223 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Pharmacogenetics and Drug Metabolism (4 papers), Epigenetics and DNA Methylation (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Metabolism and Genetic Disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Lysosomal Storage Disorders Research (2 papers) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Clinical Biochemistry (51 citations), Pharmacology (46 citations), Pediatrics, Perinatology and Child Health (36 citations), Genetics (46 citations) and Hematology (14 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, Larisa H. Cavallari, Wenndy Hernandez, Julio D. Duarte, Eric R. Gamazon and Yilin Xu. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Clinical Biochemistry, The Annual Review of Pharmacology and Toxicology, Clinical Pharmacology & Therapeutics and npj Genomic Medicine.
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.