Steve Kammerer

421 citations
8 papers · 326 · h-index 5

Impact in

    • Tuberculosis Research and Epidemiology
    • Mycobacterium research and diagnosis
    • Pneumonia and Respiratory Infections
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

Steve Kammerer

8 papers receiving 309 citations

Peers

Steve Kammerer
Comparison fields: 5 of 39
  • Infectious Diseases 293
  • Epidemiology 136
  • Surgery 75
  • Molecular Medicine 5
  • Critical Care and Intensive Care Medicine 2
Replace Rosa Areli Martínez‐Gamboa with:
Rosa Areli Martínez‐Gamboa Mexico
Aleyamma Thomas India
Gabriel Rojas-Ponce Germany
Norma Araceli Téllez-Vázquez Mexico
Natalia Shubladze Georgia
Yonas Ghebrekristos South Africa
M A Vieira Brazil
Deus Lukoye Uganda
Rogelio Montero-Campos Mexico
M. Milstein United States
Steve Kammerer relative to Rosa Areli Martínez‐Gamboa Mexico Rosa Areli Martínez‐Gamboa's profile →
Citations per field
00.5×1.5×
Rosa Areli Martínez‐Gamboa · 1×
Citations per year

Countries citing papers authored by Steve Kammerer

Since Specialization
Citations

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

Fields of papers citing papers by Steve Kammerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006168
2 201168
3 200252
4 200223
5 20215
6 20104
7 20213
8 20213

About Steve Kammerer

Steve Kammerer is a scholar working on Infectious Diseases, Epidemiology, Surgery, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 8 papers that have together received 326 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (3 papers), Pneumonia and Respiratory Infections (2 papers), Diagnosis and treatment of tuberculosis (2 papers) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Infectious Diseases (293 citations), Epidemiology (136 citations), Surgery (75 citations), Molecular Medicine (5 citations) and Critical Care and Intensive Care Medicine (2 citations). Steve Kammerer has collaborated with scholars based in United States. Frequent co-authors include Kayla F. Laserson, Maya Sternberg, Vaira Leimane, Vija Riekstiņa, Charles D. Wells, Timothy H. Holtz, Lauren S. Cowan, Smita Ghosh, Barbara A. Ellis and Thomas R. Navin. Their work appears in journals such as Emerging infectious diseases, Infection Genetics and Evolution, American Journal of Preventive Medicine, Epidemiology and Annals of Internal 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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