S. Froman

29 papers receiving 938 citations

S. Froman's Hit Papers

MYCOBACTERIA: LABORATORY METHODS FOR TESTING DRUG SENSITIVITY AND RESISTANCE. 1963 · 425 citations
4250+21+42Years since publication100200300400

Peers

S. Froman
Comparison fields: 5 of 90
  • Microbiology 70
  • Infectious Diseases 635
  • Epidemiology 812
  • Small Animals 161
  • Molecular Medicine 71
Replace George P. Kubica with:
George P. Kubica United States
V. Lévy‐Frébault France
Michio Tsukamura Japan
Harald Mauch Germany
Gill‐Han Bai South Korea
Ernest H. Runyon United States
Howard Gruft United States
Louise Thibert Canada
W. Gross United States
L C Steele United States
S. Froman relative to George P. Kubica United States George P. Kubica's profile →
Citations per field
00.5×2.9×
George P. Kubica · 1×
Citations per year

Countries citing papers authored by S. Froman

Since Specialization
Citations

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

Fields of papers citing papers by S. Froman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MYCOBACTERIA: LABORATORY METHODS FOR TESTING DRUG SENSITIVITY AND RESISTANCE.
Hit paper breakdown →
1963425
2 1954104
3 196179
4 199973
5 199673
6 197455
7 199454
8 199946
9 200031
10 197818
11 196316
12 195716
13 195511
14 196011
15 199110
16 196310
17 19578
18 19647
19 19646
20 19646

About S. Froman

S. Froman is a scholar working on Epidemiology, Infectious Diseases, Ecology, Small Animals and Molecular Biology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (22 papers), Tuberculosis Research and Epidemiology (14 papers), Bacteriophages and microbial interactions (8 papers), Infectious Diseases and Mycology (6 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Actinomycetales infections and treatment (2 papers), Ginseng Biological Effects and Applications (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Microbiology (70 citations), Infectious Diseases (635 citations), Epidemiology (812 citations), Small Animals (161 citations) and Molecular Medicine (71 citations). S. Froman has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Drake W. Will, Gertrud Meißner, M. Langerová, J. Grosset, P Hauduroy, H Mahler, D.A. Mitchison, G Canetti, L Sŭla and Emil Bogen. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Food Protection, American Journal of Clinical Pathology, Experimental Biology and Medicine and Infection and Immunity.

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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