Subham Chatterjee

2.5k citations
8 papers · 1.7k · 2 hit papers · h-index 5

Impact in

Papers in

Subham Chatterjee

8 papers receiving 1.6k citations

Subham Chatterjee's Hit Papers

Psychosocial impact of COVID-19 2020 · 1.3k citations
1.3k0+2+4Years since publication4008001.2k

Peers

Subham Chatterjee
Comparison fields: 5 of 126
  • Clinical Psychology 845
  • Modeling and Simulation 93
  • Applied Psychology 94
  • Neurology 222
  • Health 77
Replace Payel Biswas with:
Payel Biswas India
Mahua Jana Dubey India
Hoimonty Mazumder Bangladesh
Ningxi Yang China
Wanqiu Tan Singapore
Modesto Leite Rolim Neto Brazil
Marcelo O’Higgins Paraguay
Zhisong Zhang China
Yunyun Fang China
Qiongni Chen China
Subham Chatterjee relative to Payel Biswas India Payel Biswas's profile →
Citations per field
00.5×1.5×
Payel Biswas · 1×
Citations per year

Countries citing papers authored by Subham Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Subham Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Subham Chatterjee, 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 Subham Chatterjee Line = papers co-authored together Subham Chatterjee links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Psychosocial impact of COVID-19
Hit paper breakdown →
20201322
2
COVID-19 and addiction
Hit paper breakdown →
2020268
3 202051
4 202018
5 20214
6 20243
7 20211
8 20201

About Subham Chatterjee

Subham Chatterjee is a scholar working on Psychiatry and Mental health, Infectious Diseases, Pharmacology, Cellular and Molecular Neuroscience and Health, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Death Anxiety and Social Exclusion (1 paper), Neurological Complications and Syndromes (1 paper), Epilepsy research and treatment (1 paper), Religion, Spirituality, and Psychology (1 paper), Moyamoya disease diagnosis and treatment (1 paper), Personality Traits and Psychology (1 paper), Religion and Society Interactions (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Clinical Psychology (845 citations), Modeling and Simulation (93 citations), Applied Psychology (94 citations), Neurology (222 citations) and Health (77 citations). Subham Chatterjee has collaborated with scholars based in India, Spain and Germany. Frequent co-authors include Ritwik Ghosh, Souvik Dubey, Subhankar Chatterjee, Mahua Jana Dubey, Payel Biswas, Durjoy Lahiri, Carl J. Lavie, Biman Kanti Ray, Josef Finsterer and Shambaditya Das. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Journal of Stroke and Cerebrovascular Diseases, Journal of Religion and Health, American Journal of Case Reports and Journal of Patient Experience.

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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