Subhankar Chatterjee

100 papers receiving 2.9k citations

Hit Papers

Psychosocial impact of COVID-19 2020 · 1.3k citations
1.3k20202026202220244008001.2k

Peers

Subhankar Chatterjee
Comparison fields: 5 of 168
  • Clinical Psychology 1.3k
  • Applied Psychology 163
  • Modeling and Simulation 142
  • Neurology 421
  • Health 143
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Susan Robinson United States
Ritwik Ghosh India
Abdallah Y. Naser Jordan
Mondher Toumi France
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Naja Hulvej Rod Denmark
Paola Gualtieri Italy
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Citations per field
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Citations per year

Countries citing papers authored by Subhankar Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Subhankar Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Subhankar 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 Subhankar Chatterjee Line = papers co-authored together Subhankar Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20233
4 202212
5 202220
6 20218
7 20210
8 202050
9 20204
10 20204
11 20209
12
Psychosocial impact of COVID-19
Hit paper breakdown →
20201264
13 20202
14 20201
15
Impact of COVID -19 on children: special focus on the psychosocial aspect
Hit paper breakdown →
2020397
16
Perception, awareness and practice of research-oriented medical education among undergraduate students of a medical college in Kolkata, West Bengal.
20183
17 201420
18 20133
19
A delay differential equation model of a predator prey system with a transmissible disease in the prey population
20011
20
Cardioselective and non-cardioselective beta-blockers in reversible obstructive airways disease.
197731

About Subhankar Chatterjee

Subhankar Chatterjee is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology, Physiology, Pulmonary and Respiratory Medicine and Anesthesiology and Pain Medicine, having authored 117 papers that have together received 3.1k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (24 papers), Respiratory and Cough-Related Research (16 papers), Neurological and metabolic disorders (11 papers), Inhalation and Respiratory Drug Delivery (11 papers), Neurological disorders and treatments (10 papers), Respiratory Support and Mechanisms (6 papers), Pharmacological Effects and Assays (5 papers) and Neurological Complications and Syndromes (5 papers). The work is most often cited by research in Clinical Psychology (1.3k citations), Applied Psychology (163 citations), Modeling and Simulation (142 citations), Neurology (421 citations) and Health (143 citations). Subhankar Chatterjee has collaborated with scholars based in India, United Kingdom and Spain. Frequent co-authors include Souvik Dubey, Ritwik Ghosh, Mahua Jana Dubey, Payel Biswas, Subham Chatterjee, Carl J. Lavie, Durjoy Lahiri, J. M. Cruickshank, P. K. Dinda and W D Riding. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Clinical & Experimental Allergy, Current Medical Research and Opinion, International Journal of Clinical Practice and Postgraduate Medical Journal.

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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