Alok Sharma
- Endocrine and Autonomic Systems top 5%
- Epidemiology
- Reproductive Medicine top 5%
- Physiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Pratap KumarSameer Farouk SaitMukesh KumarRima BoyadjianGarry M. SteilMohammed SaadArshad M. KhanSujata Jinagouda
- Topics
- Leprosy Research and Treatment (8 papers)Mycobacterium research and diagnosis (7 papers)Tuberculosis Research and Epidemiology (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetesThe Journal of Infectious Diseases
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Alok Sharma
19 papers receiving 666 citations
Peers
Comparison fields: 5 of 86
- Endocrine and Autonomic Systems 200
- Epidemiology 196
- Reproductive Medicine 190
- Physiology 170
- Public Health, Environmental and Occupational Health 126
Countries citing papers authored by Alok Sharma
This map shows the geographic impact of Alok 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 Alok Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alok Sharma more than expected).
Fields of papers citing papers by Alok Sharma
This network shows the impact of papers produced by Alok 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 Alok Sharma. The network helps show where Alok Sharma may publish in the future.
Co-authorship network of co-authors of Alok Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Alok Sharma. A scholar is included among the top collaborators of Alok 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 Alok Sharma. Alok 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 | 1 | |
| 3 | Therapeutic Stimulation of Glp-1 Protein by Implementing in Silico to in Vitro Approach for Type-2 Diabetes Treatment | 2 |
| 4 | 109 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | 5 | |
| 8 | 131 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 229 | |
| 12 | 28 | |
| 13 | 47 | |
| 14 | 7 | |
| 15 | Induction of lepromin positivity by a candidate anti-leprosy vaccine Mycobacterium w in lepromin negative healthy contacts of multibacillary leprosy patients. | 5 |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 55 | |
| 19 | An enzyme immunoassay titrating IgM antibody against phenolic glycolipid for diagnosis of lepromatous leprosy. | 3 |
| 20 | 8 |
About Alok Sharma
Alok Sharma is a scholar working on Infectious Diseases, Transplantation and Reproductive Medicine, having authored 20 papers that have together received 689 indexed citations. Recurring topics across this work include Leprosy Research and Treatment (8 papers), Mycobacterium research and diagnosis (7 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (200 citations), Reproductive Medicine (190 citations) and Obstetrics and Gynecology (67 citations). Alok Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Pratap Kumar, Sameer Farouk Sait, Mukesh Kumar, Rima Boyadjian, Garry M. Steil, Mohammed Saad, Arshad M. Khan, Sujata Jinagouda, R.S. Misra and Aprateem Mukherjee. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and The Journal of Infectious Diseases.
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.