Salil Ghosh

1.3k citations
40 papers · 988 · h-index 19

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Parasitic Infections and Diagnostics

Papers in

Salil Ghosh

39 papers receiving 967 citations

Peers

Salil Ghosh
Comparison fields: 5 of 99
  • Aging 110
  • Parasitology 91
  • Microbiology 66
  • Immunology 182
  • Molecular Biology 574
Replace Michael P. Housley with:
Michael P. Housley United States
John R. Yates United States
Shruthi Sridhar Vembar India
Zeljka Smit‐McBride United States
Ann Sutton United States
Jimmy R. Thériault United States
Virendra K. Bajpai India
Payman Amiri United States
Deb N. Chakravarti United States
Neal K. Clapp United States
Salil Ghosh relative to Michael P. Housley United States Michael P. Housley's profile →
Citations per field
00.5×1.5×2.4×
Michael P. Housley · 1×
Citations per year

Countries citing papers authored by Salil Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Salil Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012124
2 2010119
3 200168
4 199863
5 200259
6 200954
7 201149
8 200248
9 200335
10 199631
11 200330
12 200527
13 201426
14 201325
15 201424
16 200321
17 202120
18
Recurrent pyogenic meningitis--a retrospective study.
198920
19 197719
20 200218

About Salil Ghosh

Salil Ghosh is a scholar working on Molecular Biology, Infectious Diseases, Aging, Pharmacology and Microbiology, having authored 40 papers that have together received 988 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Leprosy Research and Treatment (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Pharmacological Effects of Natural Compounds (5 papers), Bacterial Infections and Vaccines (5 papers), Amoebic Infections and Treatments (3 papers), Parasitic Infections and Diagnostics (3 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Aging (110 citations), Parasitology (91 citations), Microbiology (66 citations), Immunology (182 citations) and Molecular Biology (574 citations). Salil Ghosh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include John A. Hanover, Asesh Banerjee, Stella Maris Ranuncolo, Gerald W. Hart, Dona C. Love, Brian A. Lewis, Tapati Chakraborti, Sajal Chakraborti, John R. Michael and Michael Krause. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemical Journal and Molecular and Cellular Biochemistry.

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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