Steve Kammerer

417 total citations
8 papers, 323 citations indexed

About

Steve Kammerer is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Steve Kammerer has authored 8 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Steve Kammerer's work include Tuberculosis Research and Epidemiology (8 papers), Pneumonia and Respiratory Infections (5 papers) and Mycobacterium research and diagnosis (5 papers). Steve Kammerer is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Pneumonia and Respiratory Infections (5 papers) and Mycobacterium research and diagnosis (5 papers). Steve Kammerer collaborates with scholars based in United States. Steve Kammerer's co-authors include Vija Riekstiņa, Vaira Leimane, Timothy H. Holtz, Kayla F. Laserson, Charles D. Wells, Maya Sternberg, Lauren S. Cowan, Thomas R. Navin, Barbara A. Ellis and Patrick K. Moonan and has published in prestigious journals such as Annals of Internal Medicine, American Journal of Public Health and American Journal of Preventive Medicine.

In The Last Decade

Steve Kammerer

8 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Kammerer United States	5	309	261	133	16	10	8	323
Henadz Hurevich Denmark	6	240 0.8×	205 0.8×	93 0.7×	28 1.8×	13 1.3×	12	293
Rahul Thakur India	8	329 1.1×	261 1.0×	105 0.8×	14 0.9×	15 1.5×	10	348
Evgeni Sahalchyk Germany	6	276 0.9×	238 0.9×	110 0.8×	32 2.0×	8 0.8×	10	315
Riccardo Alagna Italy	11	238 0.8×	165 0.6×	146 1.1×	21 1.3×	23 2.3×	22	301
T. Aisu Uganda	11	399 1.3×	370 1.4×	171 1.3×	14 0.9×	13 1.3×	12	446
Sarin Chan Cambodia	10	213 0.7×	202 0.8×	141 1.1×	31 1.9×	13 1.3×	11	295
Pieter Uys South Africa	10	263 0.9×	234 0.9×	108 0.8×	28 1.8×	20 2.0×	16	341
Monika Kozińska Poland	10	196 0.6×	163 0.6×	96 0.7×	26 1.6×	6 0.6×	34	257
Rosa Areli Martínez‐Gamboa Mexico	7	321 1.0×	262 1.0×	189 1.4×	11 0.7×	9 0.9×	13	351
Norma Araceli Téllez-Vázquez Mexico	5	310 1.0×	249 1.0×	182 1.4×	11 0.7×	9 0.9×	8	335

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-authorship network of co-authors of Steve Kammerer

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

All Works

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8 of 8 papers shown

Winglee, Kathryn, Clinton J. McDaniel, Steve Kammerer, et al.. (2021). Logically Inferred Tuberculosis Transmission (LITT): A Data Integration Algorithm to Rank Potential Source Cases. Frontiers in Public Health. 9. 667337–667337. 3 indexed citations

Wortham, Jonathan M., Rongxia Li, Sandy Althomsons, et al.. (2021). Tuberculosis Genotype Clusters and Transmission in the U.S., 2009–2018. American Journal of Preventive Medicine. 61(2). 201–208. 5 indexed citations

Smith, Jonathan P., Neel R. Gandhi, Benjamin J. Silk, et al.. (2021). A Cluster-based Method to Quantify Individual Heterogeneity in Tuberculosis Transmission. Epidemiology. 33(2). 217–227. 3 indexed citations

Ghosh, Smita, Patrick K. Moonan, Lauren S. Cowan, et al.. (2011). Tuberculosis Genotyping Information Management System: Enhancing Tuberculosis Surveillance in the United States. Infection Genetics and Evolution. 12(4). 782–788. 68 indexed citations

Manangan, Lilia P., Ryan M. Wallace, Steve Kammerer, et al.. (2010). Tuberculosis Among Persons Born in the Philippines and Living in the United States, 2000–2007. American Journal of Public Health. 101(1). 101–111. 4 indexed citations

Holtz, Timothy H., Maya Sternberg, Steve Kammerer, et al.. (2006). Time to Sputum Culture Conversion in Multidrug-Resistant Tuberculosis: Predictors and Relationship to Treatment Outcome. Annals of Internal Medicine. 144(9). 650–659. 165 indexed citations

Sun, Sumi, Diane Bennett, Jennifer Flood, et al.. (2002). Identifying the Sources of Tuberculosis in Young Children: A Multistate Investigation. Emerging infectious diseases. 8(11). 1216–1223. 23 indexed citations

Ellis, Barbara A., Jack T. Crawford, Christopher R. Braden, et al.. (2002). Molecular Epidemiology of Tuberculosis in a Sentinel Surveillance Population. Emerging infectious diseases. 8(11). 1197–1209. 52 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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