William E. Sause

740 citations
16 papers · 479 · h-index 11

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 8
    • Clostridium difficile and Clostridium perfringens research 2
    • Bacterial biofilms and quorum sensing 7
    • Biochemical and Structural Characterization 3

William E. Sause

15 papers receiving 473 citations

Peers

William E. Sause
Comparison fields: 5 of 73
  • Infectious Diseases 249
  • Microbiology 44
  • Molecular Medicine 33
  • Clinical Biochemistry 32
  • Endocrinology 22
Replace Brian M. Gray with:
Brian M. Gray United States
Deepa Raju Canada
Mariya I. Goncheva Canada
Chairut Vareechon United States
Marjorie Pizarro‐Guajardo Chile
Wenjiao Chang China
Yoshiki Misawa Japan
Hatice Karaüzüm United States
Aurélie Derré‐Bobillot France
Seyed Fazlollah Mousavi Iran
William E. Sause relative to Brian M. Gray United States Brian M. Gray's profile →
Citations per field
00.5×1.5×
Brian M. Gray · 1×
Citations per year

Countries citing papers authored by William E. Sause

Since Specialization
Citations

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

Fields of papers citing papers by William E. Sause

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201586
2 201869
3 201756
4 201955
5 201848
6 201834
7 200827
8 201823
9 201921
10 201220
11 201217
12 20179
13 20188
14 20165
15 20171
16 20200

About William E. Sause

William E. Sause is a scholar working on Infectious Diseases, Molecular Biology, Surgery, Immunology and Small Animals, having authored 16 papers that have together received 479 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial biofilms and quorum sensing (7 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Galectins and Cancer Biology (3 papers), Biochemical and Structural Characterization (3 papers), Veterinary medicine and infectious diseases (3 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Infectious Diseases (249 citations), Microbiology (44 citations), Molecular Medicine (33 citations), Clinical Biochemistry (32 citations) and Endocrinology (22 citations). William E. Sause has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Victor J. Torres, A. Simon Lynch, Peter T. Buckley, William R. Strohl, Karen M. Ottemann, Andrea Castillo, Divya Balasubramanian, Jeffrey M. Boyd, Beatrix Ueberheide and Bo Shopsin. Their work appears in journals such as Infection and Immunity, mBio, Journal of Bacteriology, Frontiers in Cellular and Infection Microbiology and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact