Mahesh Puri
- Endocrinology top 0.5%
- Vibrio bacteria research studies 17
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 6
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 9
- Food Science top 5%
- Salmonella and Campylobacter epidemiology 11
- Health top 5%
- Vaccine Coverage and Hesitancy 3
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- Influenza Virus Research Studies 3
- Pneumonia and Respiratory Infections 2
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- Hepatitis Viruses Studies and Epidemiology 2
- Co-authors
- John D. ClemensMohammad AliJacqueline DeenLorenz von SeidleinR. Leon OchiaiClaire‐Lise ChaignatM. AnsaruzzamanMarcelino Lucas
- Journals
- New England Journal of Medicine (2 papers)PLoS ONE (5 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Mahesh Puri
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 110
- Endocrinology 599
- Modeling and Simulation 118
- Infectious Diseases 345
- Food Science 325
- Health 145
Countries citing papers authored by Mahesh Puri
This map shows the geographic impact of Mahesh Puri'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 Mahesh Puri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Puri more than expected).
Fields of papers citing papers by Mahesh Puri
This network shows the impact of papers produced by Mahesh Puri. 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 Mahesh Puri. The network helps show where Mahesh Puri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mahesh Puri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 12 | |
| 2 | 2015 | 15 | |
| 3 | 2015 | 9 | |
| 4 | 2014 | 54 | |
| 5 | 2014 | 15 | |
| 6 | 2013 | 57 | |
| 7 | 2013 | 3 | |
| 8 | 2013 | 32 | |
| 9 | 2013 | 7 | |
| 10 | 2012 | 76 | |
| 11 | 2012 | 70 | |
| 12 | 2012 | 9 | |
| 13 | 2012 | 36 | |
| 14 | 2012 | 50 | |
| 15 | 2012 | 12 | |
| 16 | 2011 | 27 | |
| 17 | 2009 | 168 | |
| 18 | 2008 | 27 | |
| 19 | 2006 | 49 | |
| 20 | 2005 | 197 |
About Mahesh Puri
Mahesh Puri is a scholar working on Endocrinology, Modeling and Simulation and Infectious Diseases, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (17 papers), Salmonella and Campylobacter epidemiology (11 papers), Viral gastroenteritis research and epidemiology (9 papers), COVID-19 epidemiological studies (6 papers), Influenza Virus Research Studies (3 papers), Vaccine Coverage and Hesitancy (3 papers), Pneumonia and Respiratory Infections (2 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Endocrinology (599 citations), Modeling and Simulation (118 citations) and Infectious Diseases (345 citations). Mahesh Puri has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include John D. Clemens, Mohammad Ali, Jacqueline Deen, Lorenz von Seidlein, R. Leon Ochiai, Claire‐Lise Chaignat, M. Ansaruzzaman, Marcelino Lucas, Avertino Barreto and Thomas F. Wierzba. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Clinical Infectious Diseases.
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.