Pragya Prasanna

29 total papers · 497 total citations
18 papers, 378 citations indexed

About

Pragya Prasanna is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Plant Science. According to data from OpenAlex, Pragya Prasanna has authored 18 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Plant Science. Recurrent topics in Pragya Prasanna's work include Research on Leishmaniasis Studies (6 papers), Insect Pest Control Strategies (3 papers) and Trypanosoma species research and implications (2 papers). Pragya Prasanna is often cited by papers focused on Research on Leishmaniasis Studies (6 papers), Insect Pest Control Strategies (3 papers) and Trypanosoma species research and implications (2 papers). Pragya Prasanna collaborates with scholars based in India, United States and Saudi Arabia. Pragya Prasanna's co-authors include Arun Upadhyay, Debabrata Mandal, Narsimha Mamidi, Rukkumani Rajagopalan, A. Venkateswarlu, Sriram Rajagopal, Dhanvanthri S. Deevi, Surendra Rajit Prasad, Changqing Rao and Girijesh Kumar and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Infection and Immunity and Life Sciences.

In The Last Decade

Pragya Prasanna

17 papers receiving 365 citations

Author Peers

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

Author						Papers	Cites
Pragya Prasanna	164	137	72	42	30	18	378
Rajeev Srivastava	126 0.8×	101 0.7×	100 1.4×	44 1.0×	13 0.4×	17	348
Mamilla R. Charan Raja	80 0.5×	75 0.5×	65 0.9×	49 1.2×	50 1.7×	21	355
Rui M. Lopes	56 0.3×	127 0.9×	86 1.2×	23 0.5×	15 0.5×	16	434
Muhammad Masoom Yasinzai	111 0.7×	65 0.5×	89 1.2×	65 1.5×	37 1.2×	13	336
Thalita Pedroni Formariz	124 0.8×	75 0.5×	29 0.4×	35 0.8×	21 0.7×	15	426
Nathan Habila	57 0.3×	133 1.0×	58 0.8×	65 1.5×	16 0.5×	22	384
Nandan Kumar Jana	178 1.1×	77 0.6×	30 0.4×	38 0.9×	89 3.0×	30	441
Nikhilesh Joardar	66 0.4×	145 1.1×	25 0.3×	27 0.6×	74 2.5×	26	402
Rabih Jaouhari	161 1.0×	178 1.3×	120 1.7×	36 0.9×	13 0.4×	13	350
Thanh‐Nhat Pham	47 0.3×	155 1.1×	30 0.4×	49 1.2×	15 0.5×	13	352

Countries citing papers authored by Pragya Prasanna

Since Specialization

Citations

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

Fields of papers citing papers by Pragya Prasanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pragya Prasanna

This figure shows the co-authorship network connecting the top 25 collaborators of Pragya Prasanna. A scholar is included among the top collaborators of Pragya Prasanna 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 Pragya Prasanna. Pragya Prasanna 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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