Poonam Sarkar

28 total papers · 998 total citations
18 papers, 623 citations indexed

About

Poonam Sarkar is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Poonam Sarkar has authored 18 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Physiology. Recurrent topics in Poonam Sarkar's work include Genomics, phytochemicals, and oxidative stress (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Glutathione Transferases and Polymorphisms (2 papers). Poonam Sarkar is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Glutathione Transferases and Polymorphisms (2 papers). Poonam Sarkar collaborates with scholars based in United States and Japan. Poonam Sarkar's co-authors include M. Waleed Gaber, Brian York, Maria del Solar, Joseph S. Coselli, David A. Rendon, Clemens Duerrschmid, Scott A. LeMaire, Atul R. Chopra, Bokai Zhu and V. Reid Sutton and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Poonam Sarkar

17 papers receiving 613 citations

Hit Papers

Asprosin, a Fasting-Induc... 2016 2026 2019 2022 2016 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
Poonam Sarkar 335 163 133 83 66 18 623
Xiu Feng 148 0.4× 214 1.3× 144 1.1× 78 0.9× 30 0.5× 22 649
Agata Wrońska 295 0.9× 188 1.2× 160 1.2× 26 0.3× 41 0.6× 24 654
Rosangela Spiga 181 0.5× 213 1.3× 112 0.8× 42 0.5× 38 0.6× 19 707
Tsunekazu Umekawa 392 1.2× 132 0.8× 127 1.0× 60 0.7× 84 1.3× 25 599
Beate Enigk 182 0.5× 257 1.6× 152 1.1× 127 1.5× 60 0.9× 15 556
Ian Luttrell 258 0.8× 203 1.2× 247 1.9× 41 0.5× 46 0.7× 16 791
Aline Haas de Mello 323 1.0× 248 1.5× 160 1.2× 22 0.3× 79 1.2× 22 783
Ko Ishikawa 298 0.9× 203 1.2× 287 2.2× 34 0.4× 47 0.7× 22 674
Jun Namkung 295 0.9× 233 1.4× 165 1.2× 68 0.8× 92 1.4× 21 705
Yuzuru Ohshiro 213 0.6× 238 1.5× 106 0.8× 91 1.1× 97 1.5× 20 782

Countries citing papers authored by Poonam Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Poonam Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Sarkar

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