Rakesh K. Tyagi
- Molecular Biology top 10%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Pharmacology top 2%
- Oncology
- Co-authors
- Yan LavrovskyArun K. RoyChung S. SongSoon‐Cheol AhnSaradhi MallampatiSanjay KumarNagendra K. ChaturvediBandana Chatterjee
- Topics
- Estrogen and related hormone effects (25 papers)Laser Design and Applications (21 papers)Pharmacogenetics and Drug Metabolism (16 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Rakesh K. Tyagi
107 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 130
- Molecular Biology 923
- Genetics 513
- Endocrinology, Diabetes and Metabolism 328
- Pharmacology 236
- Oncology 229
Countries citing papers authored by Rakesh K. Tyagi
This map shows the geographic impact of Rakesh K. Tyagi'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 Rakesh K. Tyagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh K. Tyagi more than expected).
Fields of papers citing papers by Rakesh K. Tyagi
This network shows the impact of papers produced by Rakesh K. Tyagi. 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 Rakesh K. Tyagi. The network helps show where Rakesh K. Tyagi may publish in the future.
Co-authorship network of co-authors of Rakesh K. Tyagi
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh K. Tyagi. A scholar is included among the top collaborators of Rakesh K. Tyagi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rakesh K. Tyagi. Rakesh K. Tyagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 20 | |
| 6 | 15 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 22 | |
| 12 | Wind Energy and Role of Effecting Parameters | 5 |
| 13 | Hydraulic Turbines and Effect of Different Parameters on output Power | 1 |
| 14 | 1 | |
| 15 | 18 | |
| 16 | 3 | |
| 17 | Pregnane and Xenobiotic Receptor (PXR): a Promiscous Xenosensor in Human Health and Disease | 7 |
| 18 | 24 | |
| 19 | 19 | |
| 20 | 43 |
About Rakesh K. Tyagi
Rakesh K. Tyagi is a scholar working on Pharmacology, Genetics and Molecular Biology, having authored 109 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (25 papers), Laser Design and Applications (21 papers) and Pharmacogenetics and Drug Metabolism (16 papers). The work is most often cited by research in Pharmacology (236 citations), Endocrinology, Diabetes and Metabolism (328 citations) and Biological Psychiatry (49 citations). Rakesh K. Tyagi has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Yan Lavrovsky, Arun K. Roy, Chung S. Song, Soon‐Cheol Ahn, Saradhi Mallampati, Sanjay Kumar, Nagendra K. Chaturvedi, Bandana Chatterjee, Kasturi Datta and Yoram Salomon. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.