Neha Sharma
- Physiology
- Endocrinology, Diabetes and Metabolism
- Psychiatry and Mental health
- Molecular Biology
- Pathology and Forensic Medicine
- Co-authors
- Kristen HedgerSarah Nath ZallekXihong LinDhananjay YadavAnand KarRonald D. ChervinJun‐O JinAnita Kochhar
- Topics
- Natural Antidiabetic Agents Studies (5 papers)Liver Disease Diagnosis and Treatment (5 papers)Neuroscience of respiration and sleep (5 papers)
- Cited by
- Endocrine and Autonomic SystemsPsychiatry and Mental healthEndocrinology, Diabetes and Metabolism
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Neha Sharma
22 papers receiving 348 citations
Peers
Comparison fields: 5 of 74
- Physiology 95
- Endocrinology, Diabetes and Metabolism 93
- Psychiatry and Mental health 86
- Molecular Biology 53
- Pathology and Forensic Medicine 53
Countries citing papers authored by Neha Sharma
This map shows the geographic impact of Neha Sharma'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 Neha Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Sharma more than expected).
Fields of papers citing papers by Neha Sharma
This network shows the impact of papers produced by Neha Sharma. 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 Neha Sharma. The network helps show where Neha Sharma may publish in the future.
Co-authorship network of co-authors of Neha Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Sharma. A scholar is included among the top collaborators of Neha Sharma 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 Neha Sharma. Neha Sharma 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 | 18 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 0 | |
| 13 | MOMORDICA CHARANTIA FRUIT EXTRACT AND GLIBENCLAMIDE SYNERGISTICALLY AMELIORATE CORTICOSTEROID INDUCED DIABETES MELLITUS IN MICE | 0 |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 36 | |
| 17 | 11 | |
| 18 | 21 | |
| 19 | Serum uric acid level is an indicator of total cholesterol and low density lipoprotein cholesterol in men below 45 years in age but not older males. | 10 |
| 20 | Timing patterns of cluster headaches and association with symptoms of obstructive sleep apnea. | 22 |
About Neha Sharma
Neha Sharma is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 29 papers that have together received 372 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Neuroscience of respiration and sleep (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (49 citations), Psychiatry and Mental health (86 citations) and Endocrinology, Diabetes and Metabolism (93 citations). Neha Sharma has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Kristen Hedger, Sarah Nath Zallek, Xihong Lin, Dhananjay Yadav, Anand Kar, Ronald D. Chervin, Jun‐O Jin, Anita Kochhar, Sunanda Panda and V. Ramesh. Their work appears in journals such as Neurology, The Journal of Infectious Diseases and International Journal of Pharmaceutics.
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.