Ram Prosad Chakrabarty

29 total papers · 1.0k total citations
20 papers, 618 citations indexed

About

Ram Prosad Chakrabarty is a scholar working on Molecular Biology, Clinical Biochemistry and Surgery. According to data from OpenAlex, Ram Prosad Chakrabarty has authored 20 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Clinical Biochemistry and 2 papers in Surgery. Recurrent topics in Ram Prosad Chakrabarty's work include Mitochondrial Function and Pathology (10 papers), ATP Synthase and ATPases Research (4 papers) and Metabolism and Genetic Disorders (3 papers). Ram Prosad Chakrabarty is often cited by papers focused on Mitochondrial Function and Pathology (10 papers), ATP Synthase and ATPases Research (4 papers) and Metabolism and Genetic Disorders (3 papers). Ram Prosad Chakrabarty collaborates with scholars based in United States, Bangladesh and Spain. Ram Prosad Chakrabarty's co-authors include Navdeep S. Chandel, Munawar Sultana, M. Anwar Hossain, Sirajul Hoque, G. R. Scott Budinger, Colleen R. Reczek, A. S. M. Rubayet Ul Alam, José López‐Barneo, Lin Gao and Paul A. Reyfman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ram Prosad Chakrabarty

20 papers receiving 610 citations

Hit Papers

Mitochondria as Signaling... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Ram Prosad Chakrabarty 370 72 64 63 56 20 618
Courtney Anderson 239 0.6× 92 1.3× 89 1.4× 60 1.0× 26 0.5× 28 675
Per Hove Andreasen 500 1.4× 46 0.6× 58 0.9× 28 0.4× 70 1.3× 21 620
Nadia Walter 469 1.3× 95 1.3× 98 1.5× 175 2.8× 24 0.4× 14 683
Diego G. Ogando 242 0.7× 44 0.6× 103 1.6× 89 1.4× 47 0.8× 35 651
Rajiv Rana 306 0.8× 104 1.4× 62 1.0× 27 0.4× 21 0.4× 20 576
Yang Liu 274 0.7× 71 1.0× 91 1.4× 91 1.4× 14 0.3× 36 660
Weixing Yan 171 0.5× 50 0.7× 55 0.9× 54 0.9× 46 0.8× 25 601
Laurence Molina 289 0.8× 60 0.8× 75 1.2× 36 0.6× 20 0.4× 22 556
Jennifer Fu 324 0.9× 88 1.2× 39 0.6× 112 1.8× 26 0.5× 15 681
Rituparna Kundu Chaudhuri 386 1.0× 53 0.7× 45 0.7× 81 1.3× 28 0.5× 31 653

Countries citing papers authored by Ram Prosad Chakrabarty

Since Specialization
Citations

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

Fields of papers citing papers by Ram Prosad Chakrabarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram Prosad Chakrabarty. 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 Ram Prosad Chakrabarty. The network helps show where Ram Prosad Chakrabarty may publish in the future.

Co-authorship network of co-authors of Ram Prosad Chakrabarty

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Prosad Chakrabarty. A scholar is included among the top collaborators of Ram Prosad Chakrabarty 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 Ram Prosad Chakrabarty. Ram Prosad Chakrabarty 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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