J. R. Uhl

3.1k citations
21 papers · 2.3k indexed · 1 hit paper · h-index 17
Topics
Bacterial Identification and Susceptibility Testing (10 papers)Antimicrobial Resistance in Staphylococcus (9 papers)Streptococcal Infections and Treatments (4 papers)

In The Last Decade

J. R. Uhl

21 papers receiving 2.2k citations

Hit Papers

Real-Time PCR in Clinical Microbiology: Applications for ...20062026201220192006250500750

Peers

J. R. Uhl
Comparison fields: 5 of 110
  • Infectious Diseases 1.3k
  • Molecular Biology 723
  • Epidemiology 646
  • Clinical Biochemistry 591
  • Public Health, Environmental and Occupational Health 304
Replace David A. Bemis with:
David A. Bemis United States
Daniel Goldenberger Switzerland
Ingo Sobottka Germany
Timothy Greenland France
Antoni P. A. Hendrickx Netherlands
Seanne P. Buckwalter United States
Peter Ward Australia
Elizabeth M. Batty United Kingdom
Christian Massire United States
Andreas E. Zautner Germany
J. R. Uhl relative to David A. Bemis United States David A. Bemis's profile →
Citations per field
00.5×1.5×
David A. Bemis · 1×
Citations per year

Countries citing papers authored by J. R. Uhl

Since Specialization
Citations

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

Fields of papers citing papers by J. R. Uhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. R. Uhl. 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 J. R. Uhl. The network helps show where J. R. Uhl may publish in the future.

Co-authorship network of co-authors of J. R. Uhl

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 36
2 17
3
Real-Time PCR in Clinical Microbiology: Applications for Routine Laboratory Testingbreakdown →
928
4 73
5 6
6 57
7 2
8 96
9 1
10 73
11
Retinopathy associated with enterococcus enteropathy in the neonatal rat.
8
12 85
13 94
14 17
15 67
16 43
17 181
18 47
19 92
20 286

About J. R. Uhl

J. R. Uhl is a scholar working on Clinical Biochemistry, Infectious Diseases and Microbiology, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Streptococcal Infections and Treatments (4 papers). The work is most often cited by research in Clinical Biochemistry (591 citations), Infectious Diseases (1.3k citations) and Endocrinology (157 citations). J. R. Uhl has collaborated with scholars based in United States, Czechia and Belarus. Frequent co-authors include Franklin R. Cockerill, Emily A. Vetter, Lynne M. Sloan, Jon E. Rosenblatt, Mark J. Espy, David H. Persing, Seanne P. Buckwalter, Mary F. Jones, Nancy L. Wengenack and Joseph D. Yao. Their work appears in journals such as Clinical Microbiology Reviews, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

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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