Nikhil Sharma
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Oncology top 10%
- Physiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Sunit K. SinghDavid D. GintyErle S. RobertsonMeghana RastogiJason S. KnightMichael E. GreenbergKarina LezgiyevaBrenda L. Bloodgood
- Topics
- interferon and immune responses (10 papers)Viral-associated cancers and disorders (6 papers)Viral Infections and Vectors (5 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Nikhil Sharma
41 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 756
- Cellular and Molecular Neuroscience 574
- Oncology 347
- Physiology 343
- Public Health, Environmental and Occupational Health 289
Countries citing papers authored by Nikhil Sharma
This map shows the geographic impact of Nikhil 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 Nikhil Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Sharma more than expected).
Fields of papers citing papers by Nikhil Sharma
This network shows the impact of papers produced by Nikhil 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 Nikhil Sharma. The network helps show where Nikhil Sharma may publish in the future.
Co-authorship network of co-authors of Nikhil Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Sharma. A scholar is included among the top collaborators of Nikhil 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 Nikhil Sharma. Nikhil 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 | A mouse DRG genetic toolkit reveals morphological and physiological diversity of somatosensory neuron subtypesbreakdown → | 59 |
| 4 | 6 | |
| 5 | 26 | |
| 6 | 84 | |
| 7 | 20 | |
| 8 | 8 | |
| 9 | The emergence of transcriptional identity in somatosensory neuronsbreakdown → | 270 |
| 10 | 59 | |
| 11 | 101 | |
| 12 | EFFECT OF PSB, RHIZOBIUM AND PHOSPHORUS LEVELS ON GROWTHPARAMETERS AND BENEFIT COST RATIO OF SOYBEAN(GLYCINE MAX (L.) MERR.) | 1 |
| 13 | 28 | |
| 14 | 5 | |
| 15 | 20 | |
| 16 | 131 | |
| 17 | 75 | |
| 18 | 6 | |
| 19 | 70 | |
| 20 | 1 |
About Nikhil Sharma
Nikhil Sharma is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include interferon and immune responses (10 papers), Viral-associated cancers and disorders (6 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Developmental Neuroscience (134 citations), Cellular and Molecular Neuroscience (574 citations) and Sensory Systems (90 citations). Nikhil Sharma has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Sunit K. Singh, David D. Ginty, Erle S. Robertson, Meghana Rastogi, Jason S. Knight, Michael E. Greenberg, Karina Lezgiyeva, Brenda L. Bloodgood, Kanhaiya Lal Kumawat and Anirban Basu. Their work appears in journals such as Nature, Science and Cell.
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.