Surajit Ganguly

2.2k citations
39 papers · 1.8k indexed · h-index 19

Surajit Ganguly

36 papers receiving 1.8k citations

Peers

Surajit Ganguly
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 582
  • Biological Psychiatry 184
  • Cellular and Molecular Neuroscience 429
  • Aging 38
  • Molecular Biology 1.0k
Replace Takaoki Kasahara with:
Takaoki Kasahara Japan
Vijaya B. Kumar United States
Francis Cogé France
Olivier Nosjean France
Erika Cecon France
Javier Cuesta Spain
Jean‐Denis Troadec France
Jin H. Son United States
Beth Borowsky United States
Eric Schaeffer United States
Surajit Ganguly relative to Takaoki Kasahara Japan Takaoki Kasahara's profile →
Citations per field
00.5×1.7×
Takaoki Kasahara · 1×
Citations per year

Countries citing papers authored by Surajit Ganguly

Since Specialization
Citations

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

Fields of papers citing papers by Surajit Ganguly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Surajit Ganguly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Surajit Ganguly Line = papers co-authored together Surajit Ganguly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20230
4 201817
5 20162
6 201520
7
Effect of ATPase/ATP Synthetase inhibitors on As(III) biosorption by Aspergillus niger X300
20131
8 2012127
9 201119
10 201018
11 201093
12 2008115
13 200820
14 200717
15 20068
16 200658
17 200351
18 2002213
19 2001326
20 199810

About Surajit Ganguly

Surajit Ganguly is a scholar working on Biological Psychiatry, Endocrine and Autonomic Systems and Aging, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include 14-3-3 protein interactions (7 papers), Circadian rhythm and melatonin (6 papers), Tryptophan and brain disorders (6 papers), Plant Molecular Biology Research (4 papers), Fungal and yeast genetics research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (582 citations), Biological Psychiatry (184 citations) and Cellular and Molecular Neuroscience (429 citations). Surajit Ganguly has collaborated with scholars based in India, United States and Denmark. Frequent co-authors include David C. Klein, Steven L. Coon, Tomáš Obšil, Fred Dyda, Rodolfo Ghirlando, Joan L. Weller, Gautam Palit, Manavi Chatterjee, Rajkumar Verma and Benoît Malpaux. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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