John L. Daiss
Impact in
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Microbiology top 5%
Papers in
- Surgery 27
- Orthopedic Infections and Treatments 26
- Surgical site infection prevention 3
-
- Antimicrobial Resistance in Staphylococcus 18
- Co-authors
- Edward M. Schwarz (21 shared papers)Stephen L. Kates (14 shared papers)Kohei Nishitani (10 shared papers)Thomas Roth (2 shared papers)Karen L. de Mesy Bentley (7 shared papers)Gowrishankar Muthukrishnan (11 shared papers)Jane L. Halpern (1 shared paper)Katarzyna Kowalczyk (1 shared paper)
- Journals
- Journal of Orthopaedic Research® (12 papers)Journal of Immunological Methods (3 papers)Infection and Immunity (2 papers)Molecular Immunology (2 papers)Journal of Bone and Joint Surgery (2 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
John L. Daiss
45 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Infectious Diseases 380
- Microbiology 94
- Surgery 664
- Rehabilitation 58
- Clinical Biochemistry 55
Countries citing papers authored by John L. Daiss
This map shows the geographic impact of John L. Daiss'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 John L. Daiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John L. Daiss more than expected).
Fields of papers citing papers by John L. Daiss
This network shows the impact of papers produced by John L. Daiss. 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 John L. Daiss. The network helps show where John L. Daiss may publish in the future.
Co-authors
The 25 scholars most cited alongside John L. Daiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 199 | |
| 2 | Quantitation of maternal-fetal IgG transport in the chicken. | 1985 | 159 |
| 3 | 2015 | 135 | |
| 4 | 2019 | 108 | |
| 5 | 1994 | 71 | |
| 6 | 2014 | 63 | |
| 7 | 1983 | 53 | |
| 8 | 1979 | 50 | |
| 9 | 2015 | 45 | |
| 10 | 2015 | 42 | |
| 11 | 1989 | 40 | |
| 12 | 2018 | 39 | |
| 13 | 2020 | 31 | |
| 14 | 2018 | 31 | |
| 15 | 2019 | 30 | |
| 16 | 2013 | 30 | |
| 17 | 2011 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2010 | 25 | |
| 20 | 1998 | 24 |
About John L. Daiss
John L. Daiss is a scholar working on Surgery, Infectious Diseases, Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Orthopedic Infections and Treatments (26 papers), Antimicrobial Resistance in Staphylococcus (18 papers), Diabetic Foot Ulcer Assessment and Management (5 papers), Wound Healing and Treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Bacterial biofilms and quorum sensing (3 papers), Surgical site infection prevention (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Infectious Diseases (380 citations), Microbiology (94 citations), Surgery (664 citations), Rehabilitation (58 citations) and Clinical Biochemistry (55 citations). John L. Daiss has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Edward M. Schwarz, Stephen L. Kates, Kohei Nishitani, Thomas Roth, Karen L. de Mesy Bentley, Gowrishankar Muthukrishnan, Jane L. Halpern, Katarzyna Kowalczyk, Sheila N. Bello‐Irizarry and John J. Varrone. Their work appears in journals such as Journal of Orthopaedic Research®, Journal of Immunological Methods, Infection and Immunity, Molecular Immunology and Journal of Bone and Joint Surgery.
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.