Netai Pramanik

56 total papers · 657 total citations
28 papers, 517 citations indexed

About

Netai Pramanik is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Netai Pramanik has authored 28 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 14 papers in Public Health, Environmental and Occupational Health and 10 papers in Infectious Diseases. Recurrent topics in Netai Pramanik's work include Research on Leishmaniasis Studies (10 papers), Trypanosoma species research and implications (7 papers) and Cytomegalovirus and herpesvirus research (3 papers). Netai Pramanik is often cited by papers focused on Research on Leishmaniasis Studies (10 papers), Trypanosoma species research and implications (7 papers) and Cytomegalovirus and herpesvirus research (3 papers). Netai Pramanik collaborates with scholars based in India and Vietnam. Netai Pramanik's co-authors include Nahid Ali, Bibhuti Saha, Rama Prosad Goswami, Khairul Anam, Rajesh Ravindran, Samiran Saha, Farhat Afrin, Mitali Chatterjee, Nilay Kanti Das and Joyashree Nath Barbhuiya and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Clinical Microbiology.

In The Last Decade

Netai Pramanik

20 papers receiving 497 citations

Author Peers

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

Author Last Decade Papers Cites
Netai Pramanik 444 364 92 90 65 28 517
Adriano Gomes-Silva 358 0.8× 256 0.7× 90 1.0× 102 1.1× 68 1.0× 30 479
Rama Prosad Goswami 420 0.9× 318 0.9× 93 1.0× 144 1.6× 42 0.6× 33 521
Olga Zerpa 492 1.1× 375 1.0× 81 0.9× 107 1.2× 51 0.8× 33 590
Yegnasew Takele 412 0.9× 273 0.8× 68 0.7× 132 1.5× 43 0.7× 33 537
Cecília Favali 392 0.9× 273 0.8× 127 1.4× 97 1.1× 40 0.6× 14 474
Marise Mattos 495 1.1× 292 0.8× 97 1.1× 93 1.0× 52 0.8× 18 581
Rafael Ramiro de Assis 349 0.8× 261 0.7× 89 1.0× 147 1.6× 37 0.6× 21 466
Marian Ulrich 371 0.8× 281 0.8× 80 0.9× 93 1.0× 89 1.4× 23 498
Daniela Faria 500 1.1× 289 0.8× 161 1.8× 88 1.0× 53 0.8× 13 593
Vânia Lúcia Ribeiro da Matta 539 1.2× 371 1.0× 65 0.7× 158 1.8× 67 1.0× 36 596

Countries citing papers authored by Netai Pramanik

Since Specialization
Citations

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

Fields of papers citing papers by Netai Pramanik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Netai Pramanik

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