Javier Guzmán

1.2k total citations
31 papers, 614 citations indexed

About

Javier Guzmán is a scholar working on Economics and Econometrics, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Javier Guzmán has authored 31 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 9 papers in Public Health, Environmental and Occupational Health and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Javier Guzmán's work include Pharmaceutical Economics and Policy (10 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers) and Global Maternal and Child Health (6 papers). Javier Guzmán is often cited by papers focused on Pharmaceutical Economics and Policy (10 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers) and Global Maternal and Child Health (6 papers). Javier Guzmán collaborates with scholars based in United States, United Kingdom and India. Javier Guzmán's co-authors include Lindsey Wu, Mary M. Moran, Nicole Jameson, Stephen A. Matlin, Christine Årdal, John‐Arne Røttingen, Roderik F. Viergever, Robert Terry, Sadie Regmi and Tamara Hafner and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS Medicine.

In The Last Decade

Javier Guzmán

25 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Guzmán United States 10 291 201 112 84 84 31 614
Cláudia Conceição Portugal 13 231 0.8× 121 0.6× 103 0.9× 236 2.8× 61 0.7× 51 600
Katya Galactionova Switzerland 12 417 1.4× 113 0.6× 166 1.5× 148 1.8× 66 0.8× 20 730
Andrew Obala Kenya 16 295 1.0× 53 0.3× 129 1.2× 62 0.7× 86 1.0× 53 571
Patrice Trouiller France 6 419 1.4× 229 1.1× 94 0.8× 58 0.7× 92 1.1× 15 879
Tom Drake United Kingdom 13 218 0.7× 79 0.4× 134 1.2× 52 0.6× 77 0.9× 29 502
Alemayehu Hailu Ethiopia 16 209 0.7× 143 0.7× 272 2.4× 134 1.6× 104 1.2× 51 818
Phares Mujinja Tanzania 15 139 0.5× 132 0.7× 227 2.0× 115 1.4× 85 1.0× 25 547
Jeremiah Laktabai Kenya 12 167 0.6× 104 0.5× 137 1.2× 97 1.2× 175 2.1× 31 550
Mary M. Moran United States 13 176 0.6× 129 0.6× 83 0.7× 35 0.4× 218 2.6× 31 647
Robert Terry Switzerland 14 362 1.2× 274 1.4× 196 1.8× 356 4.2× 92 1.1× 30 1.0k

Countries citing papers authored by Javier Guzmán

Since Specialization
Citations

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

Fields of papers citing papers by Javier Guzmán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Guzmán

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Guzmán. A scholar is included among the top collaborators of Javier Guzmán 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 Javier Guzmán. Javier Guzmán 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
1.
Bahuguna, Pankaj, Peter Baker, Andrew Briggs, et al.. (2025). Is health technology assessment value for money? Estimating the return on investment of health technology assessment in India (HTAIn). BMJ evidence-based medicine. 30(Suppl 2). s29–s37.
2.
Edoka, Ijeoma, Tom Drake, Peter Baker, et al.. (2025). A cost-effectiveness analysis of Molnupiravir and Paxlovid for outpatient treatment of COVID-19 in three African countries. Journal of Public Health in Africa. 16(1). 805–805.
3.
Gheorghe, Adrian, et al.. (2024). Measuring progress in institutionalising evidence-informed priority-setting in the Indian healthcare system: an application using the iProSE scale. BMJ evidence-based medicine. 30(Suppl 2). s3–s7. 2 indexed citations
4.
Gheorghe, Adrian, Peter Baker, Anthony J. Culyer, et al.. (2024). Health technology assessment in India in the next decade: reflections on a vision for its path to maturity and impact. BMJ evidence-based medicine. 30(Suppl 2). s38–s40. 2 indexed citations
5.
Guzmán, Javier, et al.. (2023). The Evolution of Health Benefits Packages in Colombia: Thirty Years of Successes and Failures. Health Systems & Reform. 9(3). 2343174–2343174. 3 indexed citations
6.
Shah, Hiral, et al.. (2023). Adaptive Health Technology Assessment: A Scoping Review of Methods. Value in Health. 26(10). 1549–1557. 9 indexed citations
7.
Guzmán, Javier, Victoria Y. Fan, & Peter Baker. (2023). The Future of Health Technology Assessment in Low- and Middle-Income Countries. Health Systems & Reform. 9(3). 2400399–2400399. 3 indexed citations
8.
Prada, Sergio I., et al.. (2022). COVID-19 response in Colombia: Hits and misses. Health Policy and Technology. 11(2). 100621–100621. 22 indexed citations
9.
10.
Joshi, Mohan P., et al.. (2021). Strengthening multisectoral coordination on antimicrobial resistance: a landscape analysis of efforts in 11 countries. Journal of Pharmaceutical Policy and Practice. 14(1). 27–27. 24 indexed citations
11.
Guzmán, Javier, et al.. (2021). COVID-19 vaccines pricing policy options for low-income and middle- income countries. BMJ Global Health. 6(3). e005347–e005347. 15 indexed citations
12.
Hafner, Tamara, Jillian Clare Köhler, Zaheer‐Ud‐Din Babar, et al.. (2020). Integrating pharmaceutical systems strengthening in the current global health scenario: three ‘uncomfortable truths’. Journal of Pharmaceutical Policy and Practice. 13(1). 38–38. 7 indexed citations
13.
Cruz-Monterrosa, Rosy G., et al.. (2019). Características de la carne de conejo y su vida de anaquel valorada con el perfil de aminas biogénica. Agro Productividad. 12(11).
14.
Guzmán, Javier, et al.. (2017). [Model for a risk-focused approach to health inspection, surveillance, and control in Colombia].. PubMed. 41. e105–e105. 1 indexed citations
15.
Guzmán, Javier, et al.. (2017). Modelo para la inspección, vigilancia y control sanitario con enfoque de riesgos en Colombia. SHILAP Revista de lepidopterología. 41.
16.
Guzmán, Javier, et al.. (2014). Traffic control based on intelligent agents. 61–68.
17.
Røttingen, John‐Arne, Sadie Regmi, Roderik F. Viergever, et al.. (2013). Mapping of available health research and development data: what's there, what's missing, and what role is there for a global observatory?. The Lancet. 382(9900). 1286–1307. 197 indexed citations
18.
Kock, Richard, Simon L. Croft, Matthew A. Dixon, et al.. (2012). DFID Zoonoses Report 6. Prioritising the need for new diagnostics, medicine, vaccines and management practices of zoonoses which have significant impact in the developing world.. 6 indexed citations
19.
Moran, Mary M., Nathalie Strub‐Wourgaft, Javier Guzmán, et al.. (2011). Registering New Drugs for Low-Income Countries: The African Challenge. PLoS Medicine. 8(2). e1000411–e1000411. 31 indexed citations
20.
Moran, Mary M., et al.. (2009). Neglected Disease Research and Development: How Much Are We Really Spending?. PLoS Medicine. 6(2). e1000030–e1000030. 165 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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