Jaykaran Charan

48.0k citations
99 papers · 5.4k · 3 hit papers · h-index 25

Impact in

Papers in

Jaykaran Charan

90 papers receiving 5.2k citations

Jaykaran Charan's Hit Papers

Monoclonal Antibodies: A Review 2017 · 272 citations
2720+4+8Years since publication50010001.5k2.0k

Peers

Jaykaran Charan
Comparison fields: 5 of 186
  • Applied Microbiology and Biotechnology 145
  • Infectious Diseases 668
  • Geriatrics and Gerontology 79
  • Nutrition and Dietetics 314
  • Health 158
Replace Adrían V. Hernández with:
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Countries citing papers authored by Jaykaran Charan

Since Specialization
Citations

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

Fields of papers citing papers by Jaykaran Charan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How to Calculate Sample Size for Different Study Designs in Medical Research?
Hit paper breakdown →
20132108
2
How to calculate sample size in animal studies?
Hit paper breakdown →
20131374
3
Monoclonal Antibodies: A Review
Hit paper breakdown →
2017272
4 2021183
5 2012161
6 2020126
7 202198
8 202173
9 202154
10 202053
11 202052
12 202050
13 202243
14 201142
15 202138
16 202136
17
Antibiotics for the treatment of leptospirosis: systematic review and meta-analysis of controlled trials.
201335
18 201632
19 202030
20 201630

About Jaykaran Charan

Jaykaran Charan is a scholar working on Infectious Diseases, Economics and Econometrics, Surgery, Public Health, Environmental and Occupational Health and Statistics, Probability and Uncertainty, having authored 99 papers that have together received 5.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Meta-analysis and systematic reviews (6 papers), Antibiotic Use and Resistance (6 papers), Pharmaceutical Economics and Policy (5 papers), Antibiotic Resistance in Bacteria (5 papers), Vitamin D Research Studies (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (145 citations), Infectious Diseases (668 citations), Geriatrics and Gerontology (79 citations), Nutrition and Dietetics (314 citations) and Health (158 citations). Jaykaran Charan has collaborated with scholars based in India, Malaysia and Bangladesh. Frequent co-authors include Tamoghna Biswas, N. D. Kantharia, Rimple Jeet Kaur, Deepak Saxena, Pankaj Bhardwaj, Jagdish Prasad Goyal, Siddhartha Dutta, Mainul Haque, Preeti Yadav and Surjit Singh. Their work appears in journals such as Expert Review of Anti-infective Therapy, Infection and Drug Resistance, Expert Opinion on Drug Safety, PLoS ONE and Expert Review of Neurotherapeutics.

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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