Leonardo Martínez

4.8k citations
128 papers · 1.8k indexed · h-index 26

Impact in

Papers in

Leonardo Martínez

114 papers receiving 1.8k citations

Peers

Leonardo Martínez
Comparison fields: 5 of 136
  • Infectious Diseases 1.1k
  • Modeling and Simulation 182
  • Epidemiology 774
  • Parasitology 85
  • Finance 97
Replace Kefyalew Addis Alene with:
Kefyalew Addis Alene Australia
Carel Pretorius Australia
Ebba Abate Ethiopia
Hassan Mahomed South Africa
Raquel Duarte Portugal
Ruvandhi R. Nathavitharana United States
Suzanne M. Marks United States
César Ugarte‐Gil Peru
Rein M G J Houben United Kingdom
Patrick K. Moonan United States
Leonardo Martínez relative to Kefyalew Addis Alene Australia Kefyalew Addis Alene's profile →
Citations per field
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Kefyalew Addis Alene · 1×
Citations per year

Countries citing papers authored by Leonardo Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
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14 202115
15
Collateral Impact of the Covid-19 Pandemic on Tuberculosis Control in Jiangsu Province, China.
20207
16 202020
17 202046
18 201913
19 201972
20 201710

About Leonardo Martínez

Leonardo Martínez is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Surgery and Finance, having authored 128 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (70 papers), Pneumocystis jirovecii pneumonia detection and treatment (22 papers), Mycobacterium research and diagnosis (21 papers), Diagnosis and treatment of tuberculosis (16 papers), Infectious Diseases and Tuberculosis (16 papers), Pneumonia and Respiratory Infections (14 papers), COVID-19 Clinical Research Studies (10 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Modeling and Simulation (182 citations), Epidemiology (774 citations), Parasitology (85 citations) and Finance (97 citations). Leonardo Martínez has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Christopher C. Whalen, Limei Zhu, Ye Shen, Wei Lu, Jason R. Andrews, Qiao Liu, Jianming Wang, Juan Carlos Hatchondo, Horacio Sapriza and Júlio Croda. Their work appears in journals such as Clinical Infectious Diseases, American Journal of Tropical Medicine and Hygiene, Epidemiology and Infection, The International Journal of Tuberculosis and Lung Disease and American Journal of Respiratory and Critical Care Medicine.

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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