Akhil B. Vaidya

104 papers receiving 5.1k citations

Akhil B. Vaidya's Hit Papers

Functional Profiling of a Plasmodium Genome Reveals an Abundance of Essential Genes 2017 · 374 citations
3740+3+6Years since publication100200300

Peers

Akhil B. Vaidya
Comparison fields: 5 of 110
  • Parasitology 967
  • Public Health, Environmental and Occupational Health 2.7k
  • Immunology 828
  • Infectious Diseases 607
  • Virology 142
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Henri Vial France
Jeffrey D. Chulay United States
Michael Foley Australia
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Karine G. Le Roch United States
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Michael Lanzer Germany
Stuart A. Ralph Australia
J. David Haynes United States
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Citations per year

Countries citing papers authored by Akhil B. Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by Akhil B. Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akhil B. Vaidya. 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 Akhil B. Vaidya. The network helps show where Akhil B. Vaidya may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Functional Profiling of a Plasmodium Genome Reveals an Abundance of Essential Genes
Hit paper breakdown →
2017374
2 2007349
3 1997327
4 1999229
5 2009212
6 1999186
7 2009168
8 1971167
9 1989135
10 1979128
11 1987119
12 2015119
13 2014107
14 199389
15 201384
16 200682
17 200574
18 197672
19 201170
20 201169

About Akhil B. Vaidya

Akhil B. Vaidya is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Epidemiology, Infectious Diseases and Immunology, having authored 106 papers that have together received 5.3k indexed citations. Recurring topics across this work include Malaria Research and Control (69 papers), Mosquito-borne diseases and control (27 papers), Trypanosoma species research and implications (15 papers), Drug Transport and Resistance Mechanisms (10 papers), Virus-based gene therapy research (9 papers), HIV/AIDS drug development and treatment (9 papers), Invertebrate Immune Response Mechanisms (8 papers) and Biochemical and Molecular Research (7 papers). The work is most often cited by research in Parasitology (967 citations), Public Health, Environmental and Occupational Health (2.7k citations), Immunology (828 citations), Infectious Diseases (607 citations) and Virology (142 citations). Akhil B. Vaidya has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Michael W. Mather, Joanne M. Morrisey, Indresh K. Srivastava, Heather J. Painter, Hagai Rottenberg, Dan H. Moore, Hangjun Ke, Etienne Y. Lasfargues, Fevzi Daldal and Élisabeth Darrouzet. Their work appears in journals such as Molecular and Biochemical Parasitology, Antimicrobial Agents and Chemotherapy, Journal of Biological Chemistry, PLoS ONE and Proceedings of the National Academy of Sciences.

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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