Deepak Y. Patil

2.5k citations
50 papers · 778 indexed · h-index 19
Topics
Viral Infections and Vectors (22 papers)SARS-CoV-2 and COVID-19 Research (16 papers)Mosquito-borne diseases and control (12 papers)

In The Last Decade

Deepak Y. Patil

48 papers receiving 746 citations

Peers

Deepak Y. Patil
Comparison fields: 5 of 72
  • Infectious Diseases 653
  • Public Health, Environmental and Occupational Health 258
  • Ecology, Evolution, Behavior and Systematics 180
  • Molecular Biology 99
  • Parasitology 92
Replace Anita M. Shete with:
Anita M. Shete India
Antonella Marchi Italy
Maria João Alves Portugal
Terry G. Besselaar South Africa
Julia S. Ampuero Peru
Austine Bitek Kenya
Andrea Gervelmeyer Sweden
Nina Lagerqvist Sweden
Maurice Demanou Cameroon
Shailesh D. Pawar India
Deepak Y. Patil relative to Anita M. Shete India Anita M. Shete's profile →
Citations per field
00.5×1.5×
Anita M. Shete · 1×
Citations per year

Countries citing papers authored by Deepak Y. Patil

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Y. Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak Y. Patil. 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 Deepak Y. Patil. The network helps show where Deepak Y. Patil may publish in the future.

Co-authorship network of co-authors of Deepak Y. Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Y. Patil. A scholar is included among the top collaborators of Deepak Y. Patil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepak Y. Patil. Deepak Y. Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 2
5 10
6 1
7 2
8 22
9 2
10 21
11 2
12 23
13 36
14 5
15 31
16 8
17 45
18 9
19 21
20 39

About Deepak Y. Patil

Deepak Y. Patil is a scholar working on Infectious Diseases, Modeling and Simulation and Virology, having authored 50 papers that have together received 778 indexed citations. Recurring topics across this work include Viral Infections and Vectors (22 papers), SARS-CoV-2 and COVID-19 Research (16 papers) and Mosquito-borne diseases and control (12 papers). The work is most often cited by research in Infectious Diseases (653 citations), Parasitology (92 citations) and Ecology, Evolution, Behavior and Systematics (180 citations). Deepak Y. Patil has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Pragya D. Yadav, Anita M. Shete, Devendra T. Mourya, Gajanan Sapkal, Rima R. Sahay, Dimpal A. Nyayanit, Prasad Sarkale, Nivedita Gupta, Priya Abraham and Samiran Panda. Their work appears in journals such as Clinical Infectious Diseases, Journal of Virology and Frontiers in Microbiology.

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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