Neena Valecha

10.4k citations
174 papers · 4.4k · h-index 36

Impact in

Papers in

Neena Valecha

168 papers receiving 4.2k citations

Peers

Neena Valecha
Comparison fields: 5 of 129
  • Public Health, Environmental and Occupational Health 3.4k
  • Parasitology 399
  • Pharmacology 300
  • Infectious Diseases 431
  • Computational Theory and Mathematics 361
Replace Walther H. Wernsdorfer with:
Walther H. Wernsdorfer Austria
Peter J. de Vries Netherlands
Steven R. Meshnick United States
J. Kevin Baird Indonesia
Annette Erhart Belgium
Alan J. Magill United States
Cally Roper United Kingdom
Duong Socheat Cambodia
Bruno Pradines France
Mayfong Mayxay Laos
Neena Valecha relative to Walther H. Wernsdorfer Austria Walther H. Wernsdorfer's profile →
Citations per field
00.5×5.1×
Walther H. Wernsdorfer · 1×
Citations per year

Countries citing papers authored by Neena Valecha

Since Specialization
Citations

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

Fields of papers citing papers by Neena Valecha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007315
2 2014253
3 2008132
4 2004127
5 2011114
6 2012113
7 201095
8 201488
9 200684
10 199776
11 201676
12 200574
13 200968
14 201165
15 201263
16 201463
17 201656
18 201555
19 201754
20 201053

About Neena Valecha

Neena Valecha is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Computational Theory and Mathematics, Infectious Diseases and Molecular Biology, having authored 174 papers that have together received 4.4k indexed citations. Recurring topics across this work include Malaria Research and Control (135 papers), Mosquito-borne diseases and control (53 papers), Computational Drug Discovery Methods (12 papers), Vector-borne infectious diseases (8 papers), Drug-Induced Hepatotoxicity and Protection (8 papers), Digital Imaging for Blood Diseases (5 papers), Viral Infections and Vectors (5 papers) and Parasites and Host Interactions (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (3.4k citations), Parasitology (399 citations), Pharmacology (300 citations), Infectious Diseases (431 citations) and Computational Theory and Mathematics (361 citations). Neena Valecha has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Aditya Prasad Dash, Ashwani Kumar, Anupkumar R. Anvikar, Tanu Jain, Neelima Mishra, Naman K. Shah, J. Kevin Baird, Nicholas J. White, Bina Srivastava and Neeru Singh. Their work appears in journals such as Malaria Journal, American Journal of Tropical Medicine and Hygiene, Acta Tropica, PLoS ONE and Infection Genetics and Evolution.

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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