S.C. Sharma

4.2k citations
80 papers · 3.3k · h-index 30

Impact in

Papers in

S.C. Sharma

79 papers receiving 3.2k citations

Peers

S.C. Sharma
Comparison fields: 5 of 99
  • Ophthalmology 1.1k
  • Developmental Neuroscience 363
  • Cellular and Molecular Neuroscience 1.4k
  • Neurology 361
  • Molecular Biology 2.2k
Replace Peter F. Hitchcock with:
Peter F. Hitchcock United States
Pamela A. Raymond United States
Linda K. Barthel United States
Theo van Veen Sweden
Benjamin E. Reese United States
Monica L. Vetter United States
Andy J. Fischer United States
Deborah L. Stenkamp United States
Silke Haverkamp Germany
Ágoston Szél Hungary
S.C. Sharma relative to Peter F. Hitchcock United States Peter F. Hitchcock's profile →
Citations per field
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Peter F. Hitchcock · 1×
Citations per year

Countries citing papers authored by S.C. Sharma

Since Specialization
Citations

This map shows the geographic impact of S.C. 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 S.C. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.C. Sharma more than expected).

Fields of papers citing papers by S.C. Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.C. 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 S.C. Sharma. The network helps show where S.C. Sharma may publish in the future.

Co-authors

The 25 scholars most cited alongside S.C. 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 S.C. Sharma Line = papers co-authored together S.C. Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995396
2 1994289
3 1970161
4 1981141
5 1972139
6 1987130
7 1999125
8 2001121
9
The combined effect of brain-derived neurotrophic factor and a free radical scavenger in experimental glaucoma.
2000119
10 1998110
11 198786
12 198086
13 197277
14 199869
15 197366
16 197964
17 200157
18 198151
19 199350
20 200145

About S.C. Sharma

S.C. Sharma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ophthalmology, Cell Biology and Nature and Landscape Conservation, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Retinal Development and Disorders (55 papers), Glaucoma and retinal disorders (16 papers), Photoreceptor and optogenetics research (13 papers), Fish biology, ecology, and behavior (11 papers), Zebrafish Biomedical Research Applications (11 papers), Axon Guidance and Neuronal Signaling (9 papers), Nerve injury and regeneration (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Ophthalmology (1.1k citations), Developmental Neuroscience (363 citations), Cellular and Molecular Neuroscience (1.4k citations), Neurology (361 citations) and Molecular Biology (2.2k citations). S.C. Sharma has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Enrique Garcia-Valenzuela, Priya Chaudhary, Shakeel Shareef, James Walsh, Farid Ahmed, R. M. Gaze, Pooja Rao, Zbigniew Darżynkiewicz, W. Gorczyca and Mei‐Lan Ko. Their work appears in journals such as Brain Research, The Journal of Comparative Neurology, Neuroscience, Experimental Neurology and Nature.

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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