Shama Bhat

1.3k citations
23 papers · 1.1k · h-index 11

Impact in

Papers in

Shama Bhat

23 papers receiving 1.1k citations

Peers

Shama Bhat
Comparison fields: 5 of 86
  • Virology 475
  • Developmental Neuroscience 204
  • Neurology 157
  • Immunology 275
  • Infectious Diseases 193
Replace Susana Álvarez with:
Susana Álvarez Spain
Mary Jane Potash United States
Wei Chao United States
Beth Arnold United States
Sabrina Curreli United States
Nicholas M. Stamatos United States
Masakazu Kamata United States
Andrew Vaillant United States
Moira A. McMahon United States
Daniel Larocque Canada
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Citations per field
00.5×10×13.6×
Susana Álvarez · 1×
Citations per year

Countries citing papers authored by Shama Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Shama Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991445
2 1991191
3 198480
4 199375
5 198175
6 198155
7 198849
8 198632
9 199014
10 198813
11 198812
12 198810
13 198510
14 19968
15
Isolation and charecterization of Glucose O xidase (GOD) from Aspergillus flavus and Penicillium sp.
20137
16 19877
17 20136
18 19855
19 19944
20 19924

About Shama Bhat

Shama Bhat is a scholar working on Molecular Biology, Developmental Neuroscience, Virology, Immunology and Epidemiology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (7 papers), HIV Research and Treatment (5 papers), Glycosylation and Glycoproteins Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Herpesvirus Infections and Treatments (3 papers), Signaling Pathways in Disease (2 papers), Neonatal and fetal brain pathology (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Virology (475 citations), Developmental Neuroscience (204 citations), Neurology (157 citations), Immunology (275 citations) and Infectious Diseases (193 citations). Shama Bhat has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Donald H. Silberberg, Francisco González‐Scarano, Steven L. Spitalnik, Mark Laughlin, Janet M. Harouse, S. E. Pfeiffer, D. H. Silberberg, Elisa Barbarese, Robert P. Lisak and Akio Suzumura. Their work appears in journals such as Brain Research, Journal of Neuroimmunology, Proceedings of the National Academy of Sciences, Journal of Neurochemistry and DNA and Cell Biology.

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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