Subham Chatterjee

2.4k citations
8 papers · 1.8k · 2 hit papers · h-index 4

Impact in

Papers in

Subham Chatterjee

8 papers receiving 1.7k citations

Subham Chatterjee's Hit Papers

COVID-19 and addiction 2020 · 281 citations
2810+2+4Years since publication4008001.2k

Peers

Subham Chatterjee
Comparison fields: 5 of 126
  • Clinical Psychology 916
  • General Dentistry 8
  • Neurology 111
  • Modeling and Simulation 32
  • Health 52
Replace Payel Biswas with:
Payel Biswas India
Aseem Mehra India
Subhankar Chatterjee India
Mahua Jana Dubey India
Durjoy Lahiri India
Yan-Jie Zhao China
Modesto Leite Rolim Neto Brazil
Souvik Dubey India
Yeen Huang China
Hannah Dinse Germany
Subham Chatterjee relative to Payel Biswas India Payel Biswas's profile →
Citations per field
00.5×1.6×
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 16 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 →
20201387
2
COVID-19 and addiction
Hit paper breakdown →
2020281
3 202051
4 202021
5 20214
6 20244
7 20212
8 20201

About Subham Chatterjee

Subham Chatterjee is a scholar working on Clinical Psychology, Genetics, Health, Epidemiology and Rheumatology, having authored 8 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (2 papers), Religion, Spirituality, and Psychology (1 paper), Acute Ischemic Stroke Management (1 paper), Historical and Modern Theater Studies (1 paper), Cancer-related cognitive impairment studies (1 paper), Moyamoya disease diagnosis and treatment (1 paper), Glioma Diagnosis and Treatment (1 paper) and Substance Abuse Treatment and Outcomes (1 paper). The work is most often cited by research in Clinical Psychology (916 citations), General Dentistry (8 citations), Neurology (111 citations), Modeling and Simulation (32 citations) and Health (52 citations). Subham Chatterjee has collaborated with scholars based in India, Spain and Germany. Frequent co-authors include Souvik Dubey, Ritwik Ghosh, Subhankar Chatterjee, Mahua Jana Dubey, Payel Biswas, Durjoy Lahiri, Carl J. Lavie, Biman Kanti Ray, Josef Finsterer and Avijit Hazra. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Journal of Religion and Health, Journal of Stroke and Cerebrovascular Diseases, Case Reports in Oncology and American Journal of Case Reports.

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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