Sejal Patel
- Reproductive Medicine top 1%
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Mohammad A. GhateiStephen R. BloomMichael PattersonKevin G. MurphyWaljit S. DhilloEmily L. ThompsonVian AmberBarbara McGowan
- Topics
- Regulation of Appetite and Obesity (6 papers)Hypothalamic control of reproductive hormones (3 papers)Neuropeptides and Animal Physiology (3 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Sejal Patel
11 papers receiving 984 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Reproductive Medicine 593
- Molecular Biology 420
- Endocrine and Autonomic Systems 317
- Cellular and Molecular Neuroscience 279
- Endocrinology, Diabetes and Metabolism 129
Countries citing papers authored by Sejal Patel
This map shows the geographic impact of Sejal Patel'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 Sejal Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sejal Patel more than expected).
Fields of papers citing papers by Sejal Patel
This network shows the impact of papers produced by Sejal Patel. 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 Sejal Patel. The network helps show where Sejal Patel may publish in the future.
Co-authorship network of co-authors of Sejal Patel
This figure shows the co-authorship network connecting the top 25 collaborators of Sejal Patel. A scholar is included among the top collaborators of Sejal Patel 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 Sejal Patel. Sejal Patel 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 | Development and Validation of Analytical Method for Quantitative Estimation of Miglitol and Metformin in Combined Dosage Form | 0 |
| 3 | Nesfatin stimulates the hypothalamic-pituitary-gonadal axis in male rats | 4 |
| 4 | 87 | |
| 5 | 13 | |
| 6 | 73 | |
| 7 | 49 | |
| 8 | Glycemic control predicts diabetic extrarenal microvascular complications but not renal survival in patients with moderate to severe chronic kidney disease. | 1 |
| 9 | 23 | |
| 10 | 163 | |
| 11 | 29 | |
| 12 | Kisspeptin-54 Stimulates the Hypothalamic-Pituitary Gonadal Axis in Human Malesbreakdown → | 523 |
| 13 | 31 |
About Sejal Patel
Sejal Patel is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Reproductive Medicine, having authored 13 papers that have together received 996 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (6 papers), Hypothalamic control of reproductive hormones (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Reproductive Medicine (593 citations), Endocrine and Autonomic Systems (317 citations) and Cellular and Molecular Neuroscience (279 citations). Sejal Patel has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Mohammad A. Ghatei, Stephen R. Bloom, Michael Patterson, Kevin G. Murphy, Waljit S. Dhillo, Emily L. Thompson, Vian Amber, Barbara McGowan, Owais B. Chaudhri and Michael K. Badman. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and Endocrinology.
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.