Chandrima Das

3.4k citations
83 papers · 2.5k indexed · 1 hit paper · h-index 25
Topics
Epigenetics and DNA Methylation (28 papers)Genomics and Chromatin Dynamics (21 papers)Ubiquitin and proteasome pathways (13 papers)

In The Last Decade

Chandrima Das

79 papers receiving 2.5k citations

Hit Papers

CBP/p300-mediated acetylation of histone H3 on lysine 5620092026201420202009100200300400500

Peers

Chandrima Das
Comparison fields: 5 of 109
  • Molecular Biology 1.9k
  • Oncology 370
  • Cancer Research 317
  • Epidemiology 212
  • Geriatrics and Gerontology 165
Replace Christian A. Hassig with:
Christian A. Hassig United States
Takashi Umehara Japan
Yoonjung Kho United States
Vytautas Iešmantavičius Switzerland
Adrian Drazic Norway
Jianye Zang China
Kwan Yong Choi South Korea
Laura Pontano Vaites United States
P. Loppnau Canada
Hiroki Tsumoto Japan
Chandrima Das relative to Christian A. Hassig United States Christian A. Hassig's profile →
Citations per field
00.5×2.8×
Christian A. Hassig · 1×
Citations per year

Countries citing papers authored by Chandrima Das

Since Specialization
Citations

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

Fields of papers citing papers by Chandrima Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandrima Das

This figure shows the co-authorship network connecting the top 25 collaborators of Chandrima Das. A scholar is included among the top collaborators of Chandrima Das 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 Chandrima Das. Chandrima Das 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 2
2 1
3 0
4 1
5 1
6 3
7 5
8 11
9 4
10 1
11 8
12 0
13 27
14 22
15 5
16 11
17 70
18 311
19 52
20
Gentamicin induced generation of hydrogen peroxide by renal mitochondria
3

About Chandrima Das

Chandrima Das is a scholar working on Molecular Biology, Cancer Research and Aging, having authored 83 papers that have together received 2.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (28 papers), Genomics and Chromatin Dynamics (21 papers) and Ubiquitin and proteasome pathways (13 papers). The work is most often cited by research in Aging (105 citations), Geriatrics and Gerontology (165 citations) and Molecular Biology (1.9k citations). Chandrima Das has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jessica K. Tyler, M. Scott Lucia, Kirk C. Hansen, Tapas K. Kundu, Shrikanth S. Gadad, Siddhartha Roy, Mair E. A. Churchill, Joshua J. Carson, Troy A. A. Harkness and David M. Truong. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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