Pramath Kakodkar

52 total papers · 1.1k total citations
22 papers, 461 citations indexed

About

Pramath Kakodkar is a scholar working on Surgery, Infectious Diseases and Epidemiology. According to data from OpenAlex, Pramath Kakodkar has authored 22 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Pramath Kakodkar's work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers) and Pituitary Gland Disorders and Treatments (3 papers). Pramath Kakodkar is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers) and Pituitary Gland Disorders and Treatments (3 papers). Pramath Kakodkar collaborates with scholars based in Ireland, Canada and United States. Pramath Kakodkar's co-authors include MN Baig, Nagham Kaka, Mark C. Preul, Xiaochun Zhao, Michael T. Lawton, Albert Tu, Aria Fallah, Michael Sullivan, Sanket More and Ahmed Mostafa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and American Journal of Clinical Pathology.

In The Last Decade

Pramath Kakodkar

17 papers receiving 443 citations

Hit Papers

A Comprehensive Literatur... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Pramath Kakodkar 227 102 65 51 43 22 461
MN Baig 201 0.9× 90 0.9× 64 1.0× 113 2.2× 41 1.0× 24 518
Huipeng Ge 242 1.1× 110 1.1× 74 1.1× 33 0.6× 37 0.9× 12 528
Dalia Zakaria 287 1.3× 86 0.8× 38 0.6× 62 1.2× 61 1.4× 23 527
Mohamed Gomaa Kamel 239 1.1× 140 1.4× 28 0.4× 56 1.1× 19 0.4× 32 539
Anant Parasher 279 1.2× 159 1.6× 40 0.6× 30 0.6× 15 0.3× 14 499
Ye‐Rin Lee 137 0.6× 85 0.8× 54 0.8× 35 0.7× 14 0.3× 36 551
Manasi Shirke 115 0.5× 64 0.6× 39 0.6× 54 1.1× 18 0.4× 19 440
Yong Hu 279 1.2× 155 1.5× 58 0.9× 28 0.5× 33 0.8× 17 537
Anupam Sule 339 1.5× 134 1.3× 22 0.3× 35 0.7× 28 0.7× 41 532
Bishnu Bahadur Bajgain 226 1.0× 89 0.9× 65 1.0× 53 1.0× 30 0.7× 17 445

Countries citing papers authored by Pramath Kakodkar

Since Specialization
Citations

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

Fields of papers citing papers by Pramath Kakodkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramath Kakodkar

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