Prashant Garg

8.6k citations
194 papers · 5.6k · h-index 43

Impact in

  • Microbiology top 0.2%
  • Ophthalmology top 0.05%
    • Ocular Infections and Treatments
    • Intraocular Surgery and Lenses
    • Ocular Diseases and Behçet’s Syndrome

Papers in

Prashant Garg

188 papers receiving 5.3k citations

Peers

Prashant Garg
Comparison fields: 5 of 128
  • Microbiology 272
  • Ophthalmology 2.9k
  • Endocrinology 395
  • Pharmaceutical Science 354
  • Radiology, Nuclear Medicine and Imaging 1.1k
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Citations per field
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Citations per year

Countries citing papers authored by Prashant Garg

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant Garg. 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 Prashant Garg. The network helps show where Prashant Garg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002349
2 2009302
3 2000135
4 2010128
5 1999125
6 2002113
7 2005113
8 2004108
9 2002107
10 1999104
11 201987
12 200186
13 200085
14 200184
15
Mutational spectrum of the SLC4A11 gene in autosomal recessive congenital hereditary endothelial dystrophy.
200781
16 201780
17 200871
18 201869
19 201567
20 201661

About Prashant Garg

Prashant Garg is a scholar working on Ophthalmology, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging, Parasitology and Endocrinology, having authored 194 papers that have together received 5.6k indexed citations. Recurring topics across this work include Ocular Infections and Treatments (80 papers), Ocular Surface and Contact Lens (31 papers), Corneal surgery and disorders (27 papers), Parasitic Infections and Diagnostics (14 papers), Corneal Surgery and Treatments (11 papers), Intraocular Surgery and Lenses (10 papers), Advanced Drug Delivery Systems (10 papers) and Actinomycetales infections and treatment (10 papers). The work is most often cited by research in Microbiology (272 citations), Ophthalmology (2.9k citations), Endocrinology (395 citations), Pharmaceutical Science (354 citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Prashant Garg has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Savitri Sharma, Gullapalli N. Rao, Usha Gopinathan, Sreedharan Athmanathan, Geeta K. Vemuganti, Venkata Vamsi Krishna Venuganti, Merle Fernandes, Joveeta Joseph, GullapalliN Rao and Somasheila I. Murthy. Their work appears in journals such as Cornea, Ophthalmology, Eye, American Journal of Ophthalmology and Journal of Cataract & Refractive Surgery.

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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