Prakamya Gupta
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Genetics
- Public Health, Environmental and Occupational Health
- Epidemiology
- Co-authors
- Pinaki DuttaKanchan K. MukherjeeAnil BhansaliAshutosh RaiSivashanmugam DhandapaniShruti BhattJaya Shankar KaushikSaurabh Rajpal
- Topics
- Pituitary Gland Disorders and Treatments (14 papers)Growth Hormone and Insulin-like Growth Factors (9 papers)Glioma Diagnosis and Treatment (6 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Prakamya Gupta
28 papers receiving 334 citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 167
- Surgery 90
- Genetics 74
- Public Health, Environmental and Occupational Health 58
- Epidemiology 47
Countries citing papers authored by Prakamya Gupta
This map shows the geographic impact of Prakamya Gupta'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 Prakamya Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prakamya Gupta more than expected).
Fields of papers citing papers by Prakamya Gupta
This network shows the impact of papers produced by Prakamya Gupta. 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 Prakamya Gupta. The network helps show where Prakamya Gupta may publish in the future.
Co-authorship network of co-authors of Prakamya Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Prakamya Gupta. A scholar is included among the top collaborators of Prakamya Gupta 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 Prakamya Gupta. Prakamya Gupta 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 | 4 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 7 | |
| 6 | Impact of COVID 19 pandemic on thesis by anaesthesia trainees in a tertiary care institute of north India | 0 |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 13 | |
| 10 | 43 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 9 | |
| 14 | 17 | |
| 15 | Extra-Pituitary Birth Defects May Predict Diagnosis of Congenital Hypopituitarism in a Short Child. | 1 |
| 16 | 6 | |
| 17 | 7 | |
| 18 | 9 | |
| 19 | 6 | |
| 20 | 1 |
About Prakamya Gupta
Prakamya Gupta is a scholar working on Endocrinology, Diabetes and Metabolism, Modeling and Simulation and Genetics, having authored 35 papers that have together received 343 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (14 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (167 citations), Genetics (74 citations) and Health Informatics (4 citations). Prakamya Gupta has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Pinaki Dutta, Kanchan K. Mukherjee, Anil Bhansali, Ashutosh Rai, Sivashanmugam Dhandapani, Shruti Bhatt, Jaya Shankar Kaushik, Saurabh Rajpal, Márta Korbonits and Narendra Kumar. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.