Ram Prosad Chakrabarty

1.1k citations
20 papers · 636 indexed · 1 hit paper · h-index 12
Topics
Mitochondrial Function and Pathology (10 papers)ATP Synthase and ATPases Research (4 papers)Metabolism and Genetic Disorders (3 papers)

In The Last Decade

Ram Prosad Chakrabarty

20 papers receiving 627 citations

Hit Papers

Mitochondria as Signaling Organelles Control Mammalian St...2021202620222024202150100150200250

Peers

Ram Prosad Chakrabarty
Comparison fields: 5 of 97
  • Molecular Biology 376
  • Cancer Research 73
  • Physiology 65
  • Epidemiology 64
  • Clinical Biochemistry 57
Replace Ana Paula Sousa with:
Ana Paula Sousa Portugal
Minna Niittykoski Finland
Mengying Liu China
Fenge Li China
Laurent Châtre France
Shu Hashimoto Japan
Xiang‐Hong Ou China
Adi Abada Israel
Ram Prosad Chakrabarty relative to Ana Paula Sousa Portugal Ana Paula Sousa's profile →
Citations per field
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Ana Paula Sousa · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 5
2 17
3 3
4 67
5 15
6 12
7 10
8 18
9 15
10 11
11 24
12 61
13
Mitochondria as Signaling Organelles Control Mammalian Stem Cell Fatebreakdown →
287
14 14
15 22
16
Anaerobic Bacteria in Oral Cavities and Dental Health
3
17 3
18 39
19 8
20 2

About Ram Prosad Chakrabarty

Ram Prosad Chakrabarty is a scholar working on Aging, Clinical Biochemistry and Periodontics, having authored 20 papers that have together received 636 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), ATP Synthase and ATPases Research (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Aging (24 citations), Clinical Biochemistry (57 citations) and Molecular Biology (376 citations). Ram Prosad Chakrabarty has collaborated with scholars based in United States, Bangladesh and Spain. Frequent co-authors include Navdeep S. Chandel, M. Anwar Hossain, Munawar Sultana, G. R. Scott Budinger, Sirajul Hoque, A. S. M. Rubayet Ul Alam, Colleen R. Reczek, Lin Gao, Paul A. Reyfman and José López‐Barneo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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