Pradeep Kumar Sahu

26 papers receiving 2.3k citations

Pradeep Kumar Sahu's Hit Papers

Closure of Universities Due to Coronavirus Disease 2019 (COVID-19): Impact on Education and Mental Health of Students and Academic Staff 2020 · 1.6k citations
1.6k0+2+4Years since publication50010001.5k

Peers

Pradeep Kumar Sahu
Comparison fields: 5 of 152
  • General Dentistry 86
  • Clinical Psychology 904
  • Health Informatics 26
  • Modeling and Simulation 82
  • Computer Science Applications 100
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Citations per field
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Citations per year

Countries citing papers authored by Pradeep Kumar Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Kumar Sahu. 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 Pradeep Kumar Sahu. The network helps show where Pradeep Kumar Sahu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Closure of Universities Due to Coronavirus Disease 2019 (COVID-19): Impact on Education and Mental Health of Students and Academic Staff
Hit paper breakdown →
20201555
2 2020418
3 201946
4 201040
5 202238
6 202135
7 201834
8 202033
9 202029
10 202329
11 202023
12
Biomarkers: An Emerging Tool for Diagnosis of a Disease and Drug Development
201120
13 202019
14 201016
15 202112
16 202110
17 20219
18 20208
19 20178
20 20136

About Pradeep Kumar Sahu

Pradeep Kumar Sahu is a scholar working on Public Health, Environmental and Occupational Health, Surgery, General Health Professions, Clinical Psychology and Biomedical Engineering, having authored 28 papers that have together received 2.4k indexed citations. Recurring topics across this work include Innovations in Medical Education (6 papers), Healthcare professionals’ stress and burnout (5 papers), COVID-19 and Mental Health (3 papers), Biomedical and Engineering Education (3 papers), Problem and Project Based Learning (3 papers), Health and Well-being Studies (2 papers), Tumors and Oncological Cases (2 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in General Dentistry (86 citations), Clinical Psychology (904 citations), Health Informatics (26 citations), Modeling and Simulation (82 citations) and Computer Science Applications (100 citations). Pradeep Kumar Sahu has collaborated with scholars based in Trinidad and Tobago, India and Canada. Frequent co-authors include Srikanth Umakanthan, Maryann M Bukelo, Samarika Dahal, Joseph Sushil Rao, Anu Vinod Ranade, Lucas Faria Abrahão‐Machado, Vijay Kumar Chattu, Madan M. Gupta, Sateesh Sakhamuri and Shivananda Nayak. Their work appears in journals such as Postgraduate Medical Journal, Journal of Veterinary Medical Education, BMJ Open, Medical Education Online and Psychology Health & Medicine.

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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