Jyotsna Shah

1.4k citations
54 papers · 1.2k · h-index 20

Impact in

Papers in

Jyotsna Shah

50 papers receiving 1.1k citations

Peers

Jyotsna Shah
Comparison fields: 5 of 114
  • Parasitology 137
  • Infectious Diseases 249
  • Molecular Biology 546
  • Epidemiology 237
  • Pharmaceutical Science 46
Replace Thanai Paxton with:
Thanai Paxton United Kingdom
Fábio André Brayner Brazil
Jacqueline Montanaro Austria
Suat L. G. Cirillo United States
Jean-Charles Gantier France
A. Mackenzie United Kingdom
Philip J. Schofield Australia
Deniz Ertürk-Hasdemir United States
Hongbin Xu United States
Masako Fukuda Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jyotsna Shah

Since Specialization
Citations

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

Fields of papers citing papers by Jyotsna Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995124
2 1992103
3 199197
4 199569
5 198345
6 198844
7 198738
8 199036
9 199335
10 198734
11 198833
12 198732
13 202131
14 201825
15 199525
16 201724
17 199523
18 199622
19 199622
20 201519

About Jyotsna Shah

Jyotsna Shah is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Parasitology and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (12 papers), Viral Infections and Vectors (10 papers), Mycobacterium research and diagnosis (8 papers), Mosquito-borne diseases and control (7 papers), Bacteriophages and microbial interactions (5 papers), Vector-Borne Animal Diseases (4 papers), RNA and protein synthesis mechanisms (4 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Parasitology (137 citations), Infectious Diseases (249 citations), Molecular Biology (546 citations), Epidemiology (237 citations) and Pharmaceutical Science (46 citations). Jyotsna Shah has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include G. Graham Shipley, Harish C. Pant, Anthony V. Rawlings, Ranjan Ramasamy, R. Duclos, Richard Williams, John R. Young, Raymond Nietupski, David Lane and S. Wallbanks. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Cosmetic and Investigational Dermatology, Brain Research, Biochemistry and International Journal of Infectious Diseases.

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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