Prabhat Jha

32.4k total citations · 10 hit papers
341 papers, 19.5k citations indexed

About

Prabhat Jha is a scholar working on Pediatrics, Perinatology and Child Health, Organizational Behavior and Human Resource Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Prabhat Jha has authored 341 papers receiving a total of 19.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Pediatrics, Perinatology and Child Health, 67 papers in Organizational Behavior and Human Resource Management and 54 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Prabhat Jha's work include Global Maternal and Child Health (67 papers), Global Public Health Policies and Epidemiology (67 papers) and Smoking Behavior and Cessation (30 papers). Prabhat Jha is often cited by papers focused on Global Maternal and Child Health (67 papers), Global Public Health Policies and Epidemiology (67 papers) and Smoking Behavior and Cessation (30 papers). Prabhat Jha collaborates with scholars based in Canada, India and United States. Prabhat Jha's co-authors include Richard Peto, Salim Yusuf, Frank J. Chaloupka, Chinthanie Ramasundarahettige, Wilson Suraweera, Diego G. Bassani, Vendhan Gajalakshmi, Neeraj Dhingra, Colin Mathers and Victoria Landsman and has published in prestigious journals such as Science, New England Journal of Medicine and The Lancet.

In The Last Decade

Prabhat Jha

329 papers receiving 18.2k citations

Hit Papers

Global, regional, and national causes of child mort... 1999 2026 2008 2017 2010 2013 2000 2012 1999 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prabhat Jha Canada 61 3.8k 3.6k 3.3k 3.0k 2.9k 341 19.5k
Gretchen A Stevens Switzerland 44 3.3k 0.9× 6.4k 1.8× 7.7k 2.4× 4.3k 1.4× 5.0k 1.7× 85 31.5k
Kenji Shibuya Japan 47 2.7k 0.7× 1.5k 0.4× 1.8k 0.6× 2.5k 0.8× 1.8k 0.6× 192 13.7k
André Pascal Kengne South Africa 64 1.5k 0.4× 2.3k 0.6× 4.0k 1.2× 1.9k 0.6× 3.7k 1.3× 580 20.5k
Jay S. Kaufman United States 82 2.8k 0.7× 1.7k 0.5× 3.7k 1.1× 5.1k 1.7× 2.7k 1.0× 448 22.7k
Liam Smeeth United Kingdom 95 2.2k 0.6× 4.3k 1.2× 4.8k 1.5× 3.7k 1.2× 7.9k 2.8× 626 40.2k
Shah Ebrahim United Kingdom 96 2.4k 0.6× 4.2k 1.2× 6.1k 1.9× 4.2k 1.4× 6.1k 2.1× 394 36.3k
K. Srinath Reddy India 60 2.5k 0.6× 2.4k 0.7× 7.6k 2.3× 4.3k 1.4× 1.9k 0.7× 334 20.0k
TH Lam Hong Kong 85 1.9k 0.5× 7.9k 2.2× 7.5k 2.3× 4.6k 1.5× 4.9k 1.7× 1.1k 35.1k
Dean T. Jamison United States 50 2.9k 0.8× 719 0.2× 2.9k 0.9× 3.6k 1.2× 1.9k 0.7× 185 16.4k
Maurício L. Barreto Brazil 65 2.5k 0.7× 2.1k 0.6× 3.3k 1.0× 3.8k 1.3× 2.1k 0.7× 667 18.2k

Countries citing papers authored by Prabhat Jha

Since Specialization
Citations

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

Fields of papers citing papers by Prabhat Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhat Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhat Jha. A scholar is included among the top collaborators of Prabhat Jha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prabhat Jha. Prabhat Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Mhatre, Sharayu, Fiona Bragg, Nandkumar Panse, et al.. (2024). Cohort Profile: Indian Study of Healthy Ageing (ISHA-Barshi). International Journal of Epidemiology. 53(4). 1 indexed citations
3.
Santucci, Claudia, Gianfranco Alicandro, Margherita Pizzato, et al.. (2024). Trends in cancer mortality under age 50 in 15 upper-middle and high-income countries. JNCI Journal of the National Cancer Institute. 117(4). 747–760. 12 indexed citations
4.
Nikam, Chaitali, Wilson Suraweera, Sze Hang Fu, et al.. (2023). PCR Test Positivity and Viral Loads during Three SARS-CoV-2 Viral Waves in Mumbai, India. Biomedicines. 11(7). 1939–1939. 1 indexed citations
6.
Ke, Calvin, K.M. Venkat Narayan, Juliana C.N. Chan, Prabhat Jha, & Baiju R. Shah. (2022). Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations. Nature Reviews Endocrinology. 18(7). 413–432. 140 indexed citations breakdown →
7.
Suraweera, Wilson, David A. Warrell, Romulus Whitaker, et al.. (2020). Trends in snakebite deaths in India from 2000 to 2019 in a nationally representative mortality study. eLife. 9. 190 indexed citations breakdown →
9.
Wong, Benjamin, Shaza A. Fadel, Shally Awasthi, et al.. (2019). The impact of measles immunization campaigns in India using a nationally representative sample of 27,000 child deaths. eLife. 8. 8 indexed citations
10.
Farrar, Daniel S., Shally Awasthi, Shaza A. Fadel, et al.. (2019). Seasonal variation and etiologic inferences of childhood pneumonia and diarrhea mortality in India. eLife. 8. 13 indexed citations
11.
Ram, Usha, et al.. (2014). Maternal Mortality in India: Causes and Healthcare Service Use Based on a Nationally Representative Survey. PLoS ONE. 9(1). e83331–e83331. 144 indexed citations
12.
Verguet, Stéphane, Mira Johri, Shaun K. Morris, et al.. (2014). Controlling measles using supplemental immunization activities: A mathematical model to inform optimal policy. Vaccine. 33(10). 1291–1296. 60 indexed citations
13.
14.
Gyawali, Narayan, Rajendra Gurung, Nimesh Poudyal, et al.. (2012). Prevalence of tuberculosis in household contacts of sputum smears positive cases and associated demographic risk factors.. PubMed. 14(4). 303–7. 11 indexed citations
15.
Jha, Prabhat. (2010). Save Lives by Counting the Dead: Counting the World's Deaths and Finding out Why People Die Is One of the Most Important Goals to Improve Public Health. Professor Prabhat Jha Tells Why He Is Obsessed with Death Numbers. Bulletin of the World Health Organization. 88(3). 171. 3 indexed citations
16.
Jha, Prabhat, Prakash Chandra Gupta, & R Peto. (2008). Case-control study of smoking and death in India - Reply. New England Journal of Medicine. 358. 2844–2845. 1 indexed citations
17.
Jamison, Dean T., Joel G. Breman, Anthony R Measham, et al.. (2006). Summary and Cross-Cutting Themes. NeuroImage. 217. 116939–116939. 1 indexed citations
18.
Dt, Jamison, Breman Jg, Measham Ar, et al.. (2006). Investing in Health -- Disease Control Priorities in Developing Countries. International Journal of Biological Sciences. 20(2). 516–536. 10 indexed citations
19.
Jha, Prabhat & Anne Mills. (2002). Improving health outcomes of the poor : the report of working group 5 of the Commission on Macroeconomics and Health. World Health Organization eBooks. 55 indexed citations
20.
Jha, Prabhat, Joy de Beyer, & Peter Heller. (2000). Death and Taxes Economics of Tobacco Control. Finance & development. 36(4). 3 indexed citations

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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