James D. Escobar

522 citations
14 papers · 419 · h-index 7

Impact in

Papers in

James D. Escobar

14 papers receiving 410 citations

Peers

James D. Escobar
Comparison fields: 5 of 89
  • Health, Toxicology and Mutagenesis 141
  • Parasitology 39
  • Infectious Diseases 93
  • Modeling and Simulation 23
  • Environmental Engineering 65
Replace Mohd Hasni Jaáfar with:
Mohd Hasni Jaáfar Malaysia
Eveline Otte im Kampe United Kingdom
Rohaida Ismail Malaysia
Thang Nguyen-Tien Vietnam
Lingling Lang China
Krunoslav Capak Croatia
Yanlin Niu China
Roslynn Baatjies South Africa
José Marinho Falcão Portugal
James D. Escobar relative to Mohd Hasni Jaáfar Malaysia Mohd Hasni Jaáfar's profile →
Citations per field
00.5×7.7×
Mohd Hasni Jaáfar · 1×
Citations per year

Countries citing papers authored by James D. Escobar

Since Specialization
Citations

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

Fields of papers citing papers by James D. Escobar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Escobar. 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 James D. Escobar. The network helps show where James D. Escobar may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008138
2 200975
3 200956
4
Norovirus outbreak associated with person-to-person transmission, U.S. Air Force Academy, July 2011.
201149
5 201939
6 201024
7
Reported vectorborne and zoonotic diseases, U.S. Air Force, 2000-2011.
201213
8 20216
9 20156
10 20204
11 20214
12 20162
13 20212
14 20241

About James D. Escobar

James D. Escobar is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 419 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (3 papers), Influenza Virus Research Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Vectors (2 papers), Occupational and environmental lung diseases (2 papers), Hemoglobinopathies and Related Disorders (1 paper), Nutritional Studies and Diet (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (141 citations), Parasitology (39 citations), Infectious Diseases (93 citations), Modeling and Simulation (23 citations) and Environmental Engineering (65 citations). James D. Escobar has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Lynda D. Lisabeth, Lewis B. Morgenstern, Brisa N. Sánchez, Devin L. Brown, Melinda A. Smith, Jennifer J. Majersik, J. Timothy Dvonch, Elizabeth Macias, Thomas F. Gibbons and Catherine Takacs Witkop. Their work appears in journals such as Annals of Neurology, Clinical Microbiology and Infection, Vaccine, American Journal of Preventive Medicine and Health & Place.

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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