Subhankar Chatterjee

100 papers receiving 2.9k citations

Subhankar Chatterjee's Hit Papers

Impact of COVID -19 on children: special focus on the psychosocial aspect 2020 · 397 citations
3970+2+4Years since publication4008001.2k

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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Jeremy Howick United Kingdom
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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

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Psychosocial impact of COVID-19
Hit paper breakdown →
20201264
2
Impact of COVID -19 on children: special focus on the psychosocial aspect
Hit paper breakdown →
2020397
3 2020254
4 1978109
5 198263
6 198153
7 202050
8 197045
9
Cardioselective and non-cardioselective beta-blockers in reversible obstructive airways disease.
197731
10 201428
11 201927
12 202026
13 202026
14 198525
15
Left main coronary artery compression by dilated main pulmonary artery in atrial septal defect.
199525
16 196925
17 198024
18 198223
19 197421
20 201420

About Subhankar Chatterjee

Subhankar Chatterjee is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Endocrinology, Diabetes and Metabolism, Neurology and Cardiology and Cardiovascular 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), Inhalation and Respiratory Drug Delivery (11 papers), Neurological and metabolic disorders (11 papers), Neurological disorders and treatments (10 papers), Respiratory Support and Mechanisms (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Pharmacological Effects and Assays (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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