Oswaldo Jave

624 total citations
17 papers, 278 citations indexed

About

Oswaldo Jave is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Oswaldo Jave has authored 17 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 12 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Oswaldo Jave's work include Tuberculosis Research and Epidemiology (16 papers), Pneumonia and Respiratory Infections (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). Oswaldo Jave is often cited by papers focused on Tuberculosis Research and Epidemiology (16 papers), Pneumonia and Respiratory Infections (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). Oswaldo Jave collaborates with scholars based in Peru, United States and United Kingdom. Oswaldo Jave's co-authors include David Moore, César Antonio Bonilla-Asalde, Robert H. Gilman, Geraint Davies, Stephen A. Ward, Alison Ardrey, Ana Requena‐Méndez, Martín Yagui, Carmen Contreras and S. S. Shin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Oswaldo Jave

17 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oswaldo Jave Peru 10 228 185 84 20 18 17 278
Gina Maltas United States 8 329 1.4× 270 1.5× 134 1.6× 28 1.4× 12 0.7× 8 375
Liang Fu China 7 206 0.9× 154 0.8× 103 1.2× 32 1.6× 42 2.3× 18 342
Nisar Ahmed Rao Pakistan 9 190 0.8× 133 0.7× 46 0.5× 28 1.4× 44 2.4× 24 365
Feishen Lin China 5 184 0.8× 93 0.5× 60 0.7× 53 2.6× 12 0.7× 10 231
Nino Lomtadze Georgia 7 248 1.1× 188 1.0× 85 1.0× 23 1.1× 11 0.6× 16 342
Julian te Riele South Africa 6 297 1.3× 231 1.2× 90 1.1× 30 1.5× 13 0.7× 7 338
Lindsay McKenna United States 10 191 0.8× 122 0.7× 83 1.0× 16 0.8× 8 0.4× 25 265
Katherine Robsky United States 10 223 1.0× 158 0.9× 84 1.0× 15 0.8× 8 0.4× 21 255
Minh-Vu H Nguyen United States 10 185 0.8× 150 0.8× 40 0.5× 15 0.8× 22 1.2× 23 253
Elize Pietersen South Africa 9 359 1.6× 288 1.6× 126 1.5× 38 1.9× 13 0.7× 13 430

Countries citing papers authored by Oswaldo Jave

Since Specialization
Citations

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

Fields of papers citing papers by Oswaldo Jave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oswaldo Jave

This figure shows the co-authorship network connecting the top 25 collaborators of Oswaldo Jave. A scholar is included among the top collaborators of Oswaldo Jave 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 Oswaldo Jave. Oswaldo Jave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Requena‐Méndez, Ana, Geraint Davies, David Waterhouse, et al.. (2018). Intra-individual effects of food upon the pharmacokinetics of rifampicin and isoniazid. Journal of Antimicrobial Chemotherapy. 74(2). 416–424. 4 indexed citations
2.
Aguirre, Luis A., et al.. (2014). Congenital Transmission of Multidrug-Resistant Tuberculosis. American Journal of Tropical Medicine and Hygiene. 91(1). 92–95. 9 indexed citations
3.
Requena‐Méndez, Ana, Geraint Davies, David Waterhouse, et al.. (2014). Effects of Dosage, Comorbidities, and Food on Isoniazid Pharmacokinetics in Peruvian Tuberculosis Patients. Antimicrobial Agents and Chemotherapy. 58(12). 7164–7170. 20 indexed citations
4.
Contreras, Carlos, et al.. (2013). Causas de hemoptisis en pacientes hospitalizados. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 26(3). 110–115. 2 indexed citations
5.
Coronel, Jorge, Martha H. Roper, César Antonio Bonilla-Asalde, et al.. (2013). Validation of microscopic observation drug susceptibility testing for rapid, direct rifampicin and isoniazid drug susceptibility testing in patients receiving tuberculosis treatment. Clinical Microbiology and Infection. 20(6). 536–541. 5 indexed citations
6.
Magee, Matthew J., Emily Bloss, S. S. Shin, et al.. (2013). Clinical characteristics, drug resistance, and treatment outcomes among tuberculosis patients with diabetes in Peru. International Journal of Infectious Diseases. 17(6). e404–e412. 46 indexed citations
7.
Caldas, Adolfo, J.L. Sebastián, Maribel Muñoz, et al.. (2012). Community-Based Rapid Oral Human Immunodeficiency Virus Testing for Tuberculosis Patients in Lima, Peru. American Journal of Tropical Medicine and Hygiene. 87(3). 399–406. 7 indexed citations
8.
Manjourides, Justin, Hsien-Ho Lin, Sonya Shin, et al.. (2012). Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data. Tuberculosis. 92(3). 273–279. 22 indexed citations
9.
Fitzwater, Sean, Oswaldo Jave, Jorge Coronel, et al.. (2012). Second-line anti-tuberculosis drug concentrations for susceptibility testing in the MODS assay. European Respiratory Journal. 41(5). 1163–1171. 16 indexed citations
10.
Shin, S. S., Luis Asencios, Martín Yagui, et al.. (2012). Impact of rapid drug susceptibility testing for tuberculosis: program experience in Lima, Peru. The International Journal of Tuberculosis and Lung Disease. 16(11). 1538–1543. 12 indexed citations
11.
Requena‐Méndez, Ana, Geraint Davies, Alison Ardrey, et al.. (2012). Pharmacokinetics of Rifampin in Peruvian Tuberculosis Patients with and without Comorbid Diabetes or HIV. Antimicrobial Agents and Chemotherapy. 56(5). 2357–2363. 41 indexed citations
12.
Solari, Lely, Alfonso Gutiérrez-Santiago, Carmen Suárez, et al.. (2011). Análisis de costos de los métodos rápidos para diagnóstico de Tuberculosis multidrogorresistente en diferentes grupos epidemiológicos del Perú. Revista Peruana de Medicina Experimental y Salud Pública. 28(3). 426–431. 6 indexed citations
13.
Grandjean, Louis, Aldo Crossa, Robert H. Gilman, et al.. (2011). Tuberculosis in household contacts of multidrug-resistant tuberculosis patients. The International Journal of Tuberculosis and Lung Disease. 15(9). 1164–1169. 35 indexed citations
14.
Jave, Oswaldo, et al.. (2010). Réplica de la Estrategia Sanitaria Nacional de Prevención y Control de la Tuberculosis. Revista Peruana de Medicina Experimental y Salud Pública. 27(2). 303–303. 6 indexed citations
15.
Asencios, Luis, et al.. (2009). VIGILANCIA NACIONAL DE LA RESISTENCIA A MEDICAMENTOS ANTITUBERCULOSOS, PERÚ 2005-2006. SHILAP Revista de lepidopterología. 14 indexed citations
16.
Jave, Oswaldo. (2009). Research in tuberculosis, where we are, who we are, what do we head for?. Americanae (AECID Library). 3 indexed citations
17.
Tovar, Marco, Mark J. Siedner, Robert H. Gilman, et al.. (2008). Improved Diagnosis of Pleural Tuberculosis Using the Microscopic-Observation Drug-Susceptibility Technique. Clinical Infectious Diseases. 46(6). 909–912. 30 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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