Manisha A. Kulkarni

3.8k citations
101 papers · 2.0k · h-index 26

Impact in

Papers in

Manisha A. Kulkarni

95 papers receiving 2.0k citations

Peers

Manisha A. Kulkarni
Comparison fields: 5 of 108
  • Parasitology 297
  • Public Health, Environmental and Occupational Health 1.2k
  • Infectious Diseases 522
  • Modeling and Simulation 77
  • Ecological Modeling 68
Replace Francis Mutuku with:
Francis Mutuku United States
Amy Y. Vittor United States
Raman Velayudhan Switzerland
Nafomon Sogoba Mali
A. Desirée LaBeaud United States
Louise A. Kelly‐Hope United Kingdom
Anne L. Wilson United Kingdom
Johannes Sommerfeld Switzerland
Olivier Briët Switzerland
Benjamin G. Koudou Ivory Coast
Manisha A. Kulkarni relative to Francis Mutuku United States Francis Mutuku's profile →
Citations per field
00.5×2.7×
Francis Mutuku · 1×
Citations per year

Countries citing papers authored by Manisha A. Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Manisha A. Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manisha A. Kulkarni. 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 Manisha A. Kulkarni. The network helps show where Manisha A. Kulkarni may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016122
2 2013108
3 201092
4 202291
5 200687
6 201071
7 201561
8 201059
9 201055
10 202055
11 201852
12 200743
13 201943
14 200642
15 201341
16 200839
17 200636
18 201936
19 202035
20 202134

About Manisha A. Kulkarni

Manisha A. Kulkarni is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Parasitology, Pediatrics, Perinatology and Child Health and Plant Science, having authored 101 papers that have together received 2.0k indexed citations. Recurring topics across this work include Malaria Research and Control (39 papers), Mosquito-borne diseases and control (34 papers), Viral Infections and Vectors (25 papers), Global Maternal and Child Health (19 papers), Vector-borne infectious diseases (19 papers), Zoonotic diseases and public health (8 papers), Insect Pest Control Strategies (7 papers) and Parasites and Host Interactions (5 papers). The work is most often cited by research in Parasitology (297 citations), Public Health, Environmental and Occupational Health (1.2k citations), Infectious Diseases (522 citations), Modeling and Simulation (77 citations) and Ecological Modeling (68 citations). Manisha A. Kulkarni has collaborated with scholars based in Canada, United Kingdom and Tanzania. Frequent co-authors include Lea Berrang‐Ford, Benoit Talbot, Franklin W. Mosha, Rachelle E. Desrochers, Mark Rowland, Jeremy T. Kerr, Nicholas H. Ogden, Ronald Labonté, Morankar Sudhakar and Johnson Matowo. Their work appears in journals such as PLoS ONE, Malaria Journal, BMC Public Health, BMC Health Services Research and Vector-Borne and Zoonotic 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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