Nikhil Sharma

3.7k citations
44 papers · 2.2k indexed · 2 hit papers · h-index 24

Nikhil Sharma

41 papers receiving 2.2k citations

Hit Papers

A mouse DRG genetic toolkit...59202020262022202450100150200250

Peers

Nikhil Sharma
Comparison fields: 5 of 124
  • Developmental Neuroscience 134
  • Cellular and Molecular Neuroscience 574
  • Sensory Systems 90
  • Neurology 146
  • Infectious Diseases 257
Replace Anastas Popratiloff with:
Anastas Popratiloff United States
Philipp Albrecht Germany
Carl Hobbs United Kingdom
Tomoyuki Yoshida Japan
Wei‐Li Wu United States
Pierre Clavelou France
Min‐Hua Luo China
Markus Höltje Germany
YuHong Fu Australia
Kimberly Ritola United States
Nikhil Sharma relative to Anastas Popratiloff United States Anastas Popratiloff's profile →
Citations per field
00.5×3.5×
Anastas Popratiloff · 1×
Citations per year

Countries citing papers authored by Nikhil Sharma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Nikhil Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nikhil Sharma Line = papers co-authored together Nikhil Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3
A mouse DRG genetic toolkit reveals morphological and physiological diversity of somatosensory neuron subtypesbreakdown →
202459
4 20236
5 202126
6 202084
7 202020
8 20208
9
The emergence of transcriptional identity in somatosensory neuronsbreakdown →
2020270
10 201659
11 2015101
12
EFFECT OF PSB, RHIZOBIUM AND PHOSPHORUS LEVELS ON GROWTHPARAMETERS AND BENEFIT COST RATIO OF SOYBEAN(GLYCINE MAX (L.) MERR.)
20141
13 201228
14 20095
15 200920
16 2008131
17 200875
18 20066
19 200570
20 20051

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), Viral Infections and Vectors (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurobiology and Insect Physiology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Electrolyte and hormonal disorders (4 papers) and RNA regulation and disease (4 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 Cell, Neuron, Journal of Virology, Nature and American Journal of Physiology-Renal Physiology.

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.

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