Tejal P. Suthar
- Molecular Biology
- Oncology
- Cellular and Molecular Neuroscience
- Pathology and Forensic Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Jyotsna M. BhatavdekarNandita GhoshDevendra D. PatelNeelam G. ShahPriya R. ChikhlikarDamodar B. BalarTrupti TrivediC. Nicholl
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Genetic factors in colorectal cancer (4 papers)Metastasis and carcinoma case studies (3 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Tejal P. Suthar
15 papers receiving 399 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 205
- Oncology 177
- Cellular and Molecular Neuroscience 98
- Pathology and Forensic Medicine 77
- Endocrinology, Diabetes and Metabolism 76
Countries citing papers authored by Tejal P. Suthar
This map shows the geographic impact of Tejal P. Suthar'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 Tejal P. Suthar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tejal P. Suthar more than expected).
Fields of papers citing papers by Tejal P. Suthar
This network shows the impact of papers produced by Tejal P. Suthar. 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 Tejal P. Suthar. The network helps show where Tejal P. Suthar may publish in the future.
Co-authorship network of co-authors of Tejal P. Suthar
This figure shows the co-authorship network connecting the top 25 collaborators of Tejal P. Suthar. A scholar is included among the top collaborators of Tejal P. Suthar 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 Tejal P. Suthar. Tejal P. Suthar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 107 | |
| 4 | 49 | |
| 5 | 28 | |
| 6 | 31 | |
| 7 | 63 | |
| 8 | 1 | |
| 9 | 37 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | Levels of circulating peptide and steroid hormones in men with lung cancer. | 20 |
| 14 | Circulating epidermal growth factor (EGF) and insulin-like growth factor-I (IGF-I) in patients with epithelial ovarian carcinoma. | 15 |
| 15 | Can plasma prolactin predict tamoxifen resistance in patients with advanced breast cancer? | 14 |
About Tejal P. Suthar
Tejal P. Suthar is a scholar working on Endocrinology, Diabetes and Metabolism, Internal Medicine and Reproductive Medicine, having authored 15 papers that have together received 404 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Genetic factors in colorectal cancer (4 papers) and Metastasis and carcinoma case studies (3 papers). The work is most often cited by research in Oncology (177 citations), Cellular and Molecular Neuroscience (98 citations) and Endocrinology, Diabetes and Metabolism (76 citations). Tejal P. Suthar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Jyotsna M. Bhatavdekar, Nandita Ghosh, Devendra D. Patel, Neelam G. Shah, Priya R. Chikhlikar, Damodar B. Balar, Trupti Trivedi, C. Nicholl, David M. Smith and Probir Chakravarty. Their work appears in journals such as Cancer, British Journal of Pharmacology and Annals of Surgical Oncology.
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.