Stephen E. Sanche

1.9k citations
43 papers · 1.5k · h-index 15

Impact in

Papers in

Stephen E. Sanche

43 papers receiving 1.4k citations

Peers

Stephen E. Sanche
Comparison fields: 5 of 100
  • Infectious Diseases 658
  • Cell Biology 365
  • Epidemiology 525
  • Microbiology 12
  • Clinical Biochemistry 97
Replace Catherine Kauffmann‐Lacroix with:
Catherine Kauffmann‐Lacroix France
Christopher J. Linton United Kingdom
André Paugam France
Marcela Sabou France
Rose‐Anne Lavergne France
Arthur F. DiSalvo United States
Ignace Surmont Belgium
Steven F. Hurst United States
Arvind A. Padhye United States
Anil A. Panackal United States
Stephen E. Sanche relative to Catherine Kauffmann‐Lacroix France Catherine Kauffmann‐Lacroix's profile →
Citations per field
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Catherine Kauffmann‐Lacroix · 1×
Citations per year

Countries citing papers authored by Stephen E. Sanche

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Sanche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Sanche. 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 Stephen E. Sanche. The network helps show where Stephen E. Sanche may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999358
2 1999226
3 2004203
4 1998168
5 200698
6 200759
7 201841
8 200541
9 199933
10 200625
11 200921
12 200018
13 199517
14 200517
15 201815
16 200014
17 201212
18 202012
19 201912
20 202011

About Stephen E. Sanche

Stephen E. Sanche is a scholar working on Infectious Diseases, Clinical Biochemistry, Epidemiology, Small Animals and Cell Biology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (8 papers), Antifungal resistance and susceptibility (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Fungal Infections and Studies (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Infectious Diseases and Mycology (4 papers), Urinary Tract Infections Management (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Infectious Diseases (658 citations), Cell Biology (365 citations), Epidemiology (525 citations), Microbiology (12 citations) and Clinical Biochemistry (97 citations). Stephen E. Sanche has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Michael G. Rinaldi, Sanjay G. Revankar, Amin M Kabani, Daryl J. Hoban, Christine Y. Turenne, James A. Karlowsky, Annette W. Fothergill, Deanna A. Sutton, Thomas Frost Patterson and Deanna A. Sutton. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Chemotherapy, Clinical Infectious Diseases, BMC Infectious Diseases and Future Microbiology.

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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