Mohammad Hayat Bhat
- Endocrinology, Diabetes and Metabolism top 10%
- Obstetrics and Gynecology top 5%
- Surgery
- Epidemiology
- Molecular Biology
- Co-authors
- Bashir Ahmad LawayShariq Rashid MasoodiAbdul Hamid ZargarArshad Iqbal WaniMir Iftikhar BashirFarooq Ahmad DarM I SheikhPinaki Dutta
- Topics
- Growth Hormone and Insulin-like Growth Factors (7 papers)Pituitary Gland Disorders and Treatments (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
- Cited by
- Obstetrics and GynecologyEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Journals
- SHILAP Revista de lepidopterologíaAnalytical BiochemistryFertility and Sterility
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
Mohammad Hayat Bhat
31 papers receiving 319 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 143
- Obstetrics and Gynecology 130
- Surgery 118
- Epidemiology 44
- Molecular Biology 36
Countries citing papers authored by Mohammad Hayat Bhat
This map shows the geographic impact of Mohammad Hayat Bhat'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 Mohammad Hayat Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Hayat Bhat more than expected).
Fields of papers citing papers by Mohammad Hayat Bhat
This network shows the impact of papers produced by Mohammad Hayat Bhat. 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 Mohammad Hayat Bhat. The network helps show where Mohammad Hayat Bhat may publish in the future.
Co-authorship network of co-authors of Mohammad Hayat Bhat
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hayat Bhat. A scholar is included among the top collaborators of Mohammad Hayat Bhat 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 Mohammad Hayat Bhat. Mohammad Hayat Bhat 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 17 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Warfarin induced skin necrosis in a patient with craniopharyngioma. | 1 |
| 17 | 23 | |
| 18 | 125 | |
| 19 | 4 | |
| 20 | 33 |
About Mohammad Hayat Bhat
Mohammad Hayat Bhat is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 35 papers that have together received 344 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Pituitary Gland Disorders and Treatments (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Obstetrics and Gynecology (130 citations), Endocrinology, Diabetes and Metabolism (143 citations) and Endocrine and Autonomic Systems (18 citations). Mohammad Hayat Bhat has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include Bashir Ahmad Laway, Shariq Rashid Masoodi, Abdul Hamid Zargar, Arshad Iqbal Wani, Mir Iftikhar Bashir, Farooq Ahmad Dar, M I Sheikh, Pinaki Dutta, Anil Bhansali and K. Nalini. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Fertility and Sterility.
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.