Priyanka Nigam
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology
- Public Health, Environmental and Occupational Health
- Cardiology and Cardiovascular Medicine
- Co-authors
- Anoop MisraSurya Prakash BhattM. A. Qadar PashaRandeep GuleriaD.S. ChadhaSurya P. BhattJasjeet Singh WasirSumit Isharwal
- Topics
- Liver Disease Diagnosis and Treatment (12 papers)Diet, Metabolism, and Disease (9 papers)Lipid metabolism and disorders (4 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Priyanka Nigam
22 papers receiving 628 citations
Peers
Comparison fields: 5 of 77
- Epidemiology 335
- Endocrinology, Diabetes and Metabolism 288
- Physiology 187
- Public Health, Environmental and Occupational Health 107
- Cardiology and Cardiovascular Medicine 91
Countries citing papers authored by Priyanka Nigam
This map shows the geographic impact of Priyanka Nigam'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 Priyanka Nigam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Nigam more than expected).
Fields of papers citing papers by Priyanka Nigam
This network shows the impact of papers produced by Priyanka Nigam. 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 Priyanka Nigam. The network helps show where Priyanka Nigam may publish in the future.
Co-authorship network of co-authors of Priyanka Nigam
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Nigam. A scholar is included among the top collaborators of Priyanka Nigam 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 Priyanka Nigam. Priyanka Nigam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 17 | |
| 3 | 82 | |
| 4 | 4 | |
| 5 | 41 | |
| 6 | 47 | |
| 7 | 59 | |
| 8 | 25 | |
| 9 | 38 | |
| 10 | 27 | |
| 11 | 93 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | Diabetes Technology & Therapeutics | 27 |
| 16 | 9 | |
| 17 | A case-control study on insulin resistance, metabolic co-variates & prediction score in non-alcoholic fatty liver disease. | 78 |
| 18 | Diet & insulin resistance: a review & Asian Indian perspective. | 48 |
| 19 | 5 | |
| 20 | Overt Diabetes Mellitus In Pulmonary Tuberculosis | 2 |
About Priyanka Nigam
Priyanka Nigam is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Biochemistry, having authored 22 papers that have together received 647 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Diet, Metabolism, and Disease (9 papers) and Lipid metabolism and disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (288 citations), Epidemiology (335 citations) and Hepatology (68 citations). Priyanka Nigam has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Anoop Misra, Surya Prakash Bhatt, M. A. Qadar Pasha, Randeep Guleria, D.S. Chadha, Surya P. Bhatt, Jasjeet Singh Wasir, Sumit Isharwal, Qadar Pasha and Kalpana Luthra. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.
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.