Amit Sharma

7.6k citations
229 papers · 4.2k · 1 hit paper · h-index 36

Impact in

Papers in

Amit Sharma

215 papers receiving 4.2k citations

Amit Sharma's Hit Papers

Trends in maternal mortality in India over two decades in nationally representative surveys 2021 · 111 citations
1110+1+3Years since publication255075100

Peers

Amit Sharma
Comparison fields: 5 of 157
  • Parasitology 523
  • Public Health, Environmental and Occupational Health 1.6k
  • Virology 165
  • Microbiology 158
  • Immunology 487
Replace Michael Foley with:
Michael Foley Australia
Katherine T. Andrews Australia
Danny A. Milner United States
Hagai Ginsburg Israel
Fábio Trindade Maranhão Costa Brazil
Kalifa Bojang Gambia
David J. Hinrichs United States
Benjamin Mordmüller Germany
John J. Aponte Spain
Giancarlo A. Biagini United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Amit Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Amit Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013196
2 2005195
3
Trends in maternal mortality in India over two decades in nationally representative surveys
Hit paper breakdown →
2021111
4 201586
5 201276
6 200774
7 201172
8 201772
9 200471
10 201671
11 200871
12 200960
13 202057
14 200357
15 202057
16 201457
17 200756
18 200355
19 201155
20 201151

About Amit Sharma

Amit Sharma is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Infectious Diseases, Immunology and Epidemiology, having authored 229 papers that have together received 4.2k indexed citations. Recurring topics across this work include Malaria Research and Control (85 papers), RNA and protein synthesis mechanisms (47 papers), Mosquito-borne diseases and control (45 papers), RNA modifications and cancer (14 papers), Enzyme Structure and Function (14 papers), Complement system in diseases (11 papers), Trypanosoma species research and implications (10 papers) and HIV Research and Treatment (10 papers). The work is most often cited by research in Parasitology (523 citations), Public Health, Environmental and Occupational Health (1.6k citations), Virology (165 citations), Microbiology (158 citations) and Immunology (487 citations). Amit Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include M. Yogavel, Manju Rahi, Chetan E. Chitnis, Jyoti Chhibber‐Goel, Saurabh Kumar Singh, Hassan Belrhali, Arvind Sharma, Vitul Jain, Rachna Hora and Sameena Khan. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, BMJ Global Health, Journal of Biological Chemistry, BMC Genomics and Molecular and Biochemical Parasitology.

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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