K J Wait

449 citations
8 papers · 404 · h-index 8

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 3
    • Clostridium difficile and Clostridium perfringens research 3
    • Antimicrobial Peptides and Activities 1

K J Wait

8 papers receiving 354 citations

Peers

K J Wait
Comparison fields: 5 of 39
  • Infectious Diseases 130
  • Applied Microbiology and Biotechnology 16
  • Epidemiology 169
  • Otorhinolaryngology 24
  • Molecular Medicine 24
Replace Rinya Sugita with:
Rinya Sugita Japan
Pilar Marín‐Casanova Spain
María Noemí Carnalla-Barajas Mexico
Leslie B. Calhoun United States
J.‐E. Brorson Sweden
Marta M. Alonso Spain
John C. Angus United States
Shigeki Misawa Japan
Daiki Ozawa Japan
Luz Stella Muniz United States
K J Wait relative to Rinya Sugita Japan Rinya Sugita's profile →
Citations per field
00.5×1.7×
Rinya Sugita · 1×
Citations per year

Countries citing papers authored by K J Wait

Since Specialization
Citations

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

Fields of papers citing papers by K J Wait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside K J Wait, 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 K J Wait Line = papers co-authored together K J Wait links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1988149
2 199183
3 198776
4 199342
5 198720
6 198714
7
Evaluation of the latex agglutination test for detection of Clostridium difficile.
199210
8
The use of a commercially available enzyme immunoassay for the detection of Clostridium difficile toxin A.
199310

About K J Wait

K J Wait is a scholar working on Infectious Diseases, Microbiology, Molecular Medicine, Epidemiology and Pharmacology, having authored 8 papers that have together received 404 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Antimicrobial Peptides and Activities (1 paper), Pneumonia and Respiratory Infections (1 paper), Fungal Infections and Studies (1 paper), Antibiotic Resistance in Bacteria (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Infectious Diseases (130 citations), Applied Microbiology and Biotechnology (16 citations), Epidemiology (169 citations), Otorhinolaryngology (24 citations) and Molecular Medicine (24 citations). K J Wait has collaborated with scholars based in United States. Frequent co-authors include Peter H. Gilligan, Frederick W. Henderson, Michael J. Muszynski, Donald L. Greer, Richard L. Hodinka, R L Kaplan, William F. Kelly, Susan Whittier and Daniel S. Shapiro. Their work appears in journals such as Journal of Clinical Microbiology, European Journal of Clinical Microbiology & Infectious Diseases, The Journal of Infectious Diseases, Archives of Pathology & Laboratory Medicine and PubMed.

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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