Suman Mukherjee

663 total citations
27 papers, 564 citations indexed

About

Suman Mukherjee is a scholar working on Molecular Biology, Oncology and Geriatrics and Gerontology. According to data from OpenAlex, Suman Mukherjee has authored 27 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Suman Mukherjee's work include Mitochondrial Function and Pathology (4 papers), PARP inhibition in cancer therapy (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Suman Mukherjee is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), PARP inhibition in cancer therapy (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Suman Mukherjee collaborates with scholars based in United States, India and Italy. Suman Mukherjee's co-authors include James D. Adams, Lori K. Klaidman, Manisha Sonee, Timothy Hutchin, Chunyang Wang, Suraj G. Bhansali, Mei Ling Chang, Stephanie Born, Richard J. Briscoe and David V. Gauvin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the New York Academy of Sciences and European Journal of Pharmacology.

In The Last Decade

Suman Mukherjee

27 papers receiving 541 citations

Peers

Suman Mukherjee
Comparison fields: 5 of 97
  • Molecular Biology 206
  • Pathology and Forensic Medicine 93
  • Oncology 93
  • Physiology 84
  • Cellular and Molecular Neuroscience 75
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Ayfer Yalçın Türkiye
Filomena Lauro Italy
Csaba Szabó United States
Luigino Antonio Giancotti United States
Yolanda Gutiérrez‐Martín Spain
Shuohui Gao China
Shin-Young Ryu United States
Małgorzata Szafarz Poland
Yulia Baburina Russia
Bruno Dutra Arbo Brazil
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Citations per field, relative to Suman Mukherjee
Suman Mukherjee · 1×
Citations per year, relative to Suman Mukherjee
Suman Mukherjee · 1×

Countries citing papers authored by Suman Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Suman Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Suman Mukherjee. A scholar is included among the top collaborators of Suman Mukherjee 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 Suman Mukherjee. Suman Mukherjee 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
# Work Indexed citations
1 9
2 1
3 1
4 1
5 1
6 27
7 8
8 2
9 1
10 13
11 45
12 89
13 18
14 8
15 76
16 55
17 22
18 82
19 54
20 18

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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