Deepak Y. Patil

133 total papers · 2.5k total citations
51 papers, 769 citations indexed

About

Deepak Y. Patil is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Deepak Y. Patil has authored 51 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Infectious Diseases, 13 papers in Epidemiology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Deepak Y. Patil's 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). Deepak Y. Patil is often cited by papers focused on Viral Infections and Vectors (22 papers), SARS-CoV-2 and COVID-19 Research (16 papers) and Mosquito-borne diseases and control (12 papers). Deepak Y. Patil collaborates with scholars based in India, United States and Canada. Deepak Y. Patil's 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 Balram Bhargava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Virology.

In The Last Decade

Deepak Y. Patil

48 papers receiving 738 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Deepak Y. Patil	644	257	179	98	91	51	769
Yogesh K. Gurav	428 0.7×	244 0.9×	112 0.6×	83 0.8×	57 0.6×	30	663
Stephen Balinandi	755 1.2×	274 1.1×	216 1.2×	26 0.3×	57 0.6×	47	902
Lillian Musila	475 0.7×	333 1.3×	104 0.6×	112 1.1×	98 1.1×	42	788
Huakun Lv	550 0.9×	119 0.5×	150 0.8×	30 0.3×	92 1.0×	60	772
Gaël Darren Maganga	633 1.0×	169 0.7×	133 0.7×	39 0.4×	100 1.1×	57	851
Tahmineh Jalali	784 1.2×	400 1.6×	391 2.2×	50 0.5×	93 1.0×	54	876
Junfen Lin	566 0.9×	156 0.6×	167 0.9×	29 0.3×	57 0.6×	48	820
Luke Nyakarahuka	539 0.8×	257 1.0×	163 0.9×	105 1.1×	13 0.1×	50	782
Abdourahmane Sow	589 0.9×	407 1.6×	51 0.3×	27 0.3×	72 0.8×	38	852
Stephen Leach	489 0.8×	276 1.1×	168 0.9×	44 0.4×	246 2.7×	35	870

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

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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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