Arindam Chaudhury

1.3k citations
16 papers · 820 indexed · 1 hit paper · h-index 10
Topics
RNA Research and Splicing (4 papers)Cellular transport and secretion (2 papers)Adipose Tissue and Metabolism (2 papers)

In The Last Decade

Arindam Chaudhury

16 papers receiving 813 citations

Hit Papers

mTORC1-independent TFEB activation via Akt inhibition pro...20172026202020232017100200300

Peers

Arindam Chaudhury
Comparison fields: 5 of 92
  • Molecular Biology 382
  • Epidemiology 279
  • Physiology 197
  • Cell Biology 121
  • Immunology 102
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George Talbott United States
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Arindam Chaudhury relative to George Talbott United States George Talbott's profile →
Citations per field
00.5×1.5×
George Talbott · 1×
Citations per year

Countries citing papers authored by Arindam Chaudhury

Since Specialization
Citations

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

Fields of papers citing papers by Arindam Chaudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arindam Chaudhury

This figure shows the co-authorship network connecting the top 25 collaborators of Arindam Chaudhury. A scholar is included among the top collaborators of Arindam Chaudhury 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 Arindam Chaudhury. Arindam Chaudhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 15
3 1
4 137
5 29
6
mTORC1-independent TFEB activation via Akt inhibition promotes cellular clearance in neurodegenerative storage diseasesbreakdown →
352
7
Novel techniques for cost-effective production of Bacillus thuringiensis Subsp. israelensis
4
8 40
9 6
10 45
11 90
12 6
13 63
14 6
15 13
16 12

About Arindam Chaudhury

Arindam Chaudhury is a scholar working on Geriatrics and Gerontology, Physiology and Cancer Research, having authored 16 papers that have together received 820 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Cellular transport and secretion (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Physiology (91 citations), Aging (34 citations) and Geriatrics and Gerontology (55 citations). Arindam Chaudhury has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Joel R. Neilson, Michela Palmieri, Rituraj Pal, George G. Rodney, Marco Sardiello, Parisa Lotfi, Lakshya Bajaj, Dennis Y. Tse, Jonathan D. Cooper and Deepthi Sanagasetti. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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