L. B. Guze
- Endocrinology top 2%
- Escherichia coli research studies 14
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 8
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 8
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 11
- Epidemiology top 5%
- Urinary Tract Infections Management 13
- Herpesvirus Infections and Treatments 8
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- Streptococcal Infections and Treatments 13
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- Gut microbiota and health 8
- Co-authors
- John Z. MontgomerieG. M. KalmansonAnthony W. ChowMilan FialaThomas T. YoshikawaJohn E. EdwardsMichael C. SchotzJohn E. Payne
- Journals
- The Lancet (2 papers)Annals of Internal Medicine (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
L. B. Guze
76 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Endocrinology 180
- Molecular Medicine 136
- Infectious Diseases 453
- Clinical Biochemistry 161
- Epidemiology 772
Countries citing papers authored by L. B. Guze
This map shows the geographic impact of L. B. Guze'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 L. B. Guze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. B. Guze more than expected).
Fields of papers citing papers by L. B. Guze
This network shows the impact of papers produced by L. B. Guze. 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 L. B. Guze. The network helps show where L. B. Guze may publish in the future.
Co-authorship network
The 25 scholars most cited alongside L. B. Guze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Comparative ocular pathogenicity of Cryptococcus neoformans, Candida glabrata, and Aspergillus fumigatus in the rabbit. | 1982 | 11 |
| 2 | 1980 | 20 | |
| 3 | 1980 | 30 | |
| 4 | 1978 | 3 | |
| 5 | 1977 | 8 | |
| 6 | 1977 | 30 | |
| 7 | 1977 | 74 | |
| 8 | 1977 | 59 | |
| 9 | 1976 | 4 | |
| 10 | 1976 | 11 | |
| 11 | 1975 | 9 | |
| 12 | 1975 | 90 | |
| 13 | 1975 | 24 | |
| 14 | 1974 | 5 | |
| 15 | 1974 | 4 | |
| 16 | 1974 | 48 | |
| 17 | 1972 | 5 | |
| 18 | 1969 | 9 | |
| 19 | 1965 | 3 | |
| 20 | 1963 | 6 |
About L. B. Guze
L. B. Guze is a scholar working on Endocrinology, Clinical Biochemistry and Molecular Medicine, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Escherichia coli research studies (14 papers), Streptococcal Infections and Treatments (13 papers), Urinary Tract Infections Management (13 papers), Bacterial Identification and Susceptibility Testing (11 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Gut microbiota and health (8 papers), Antibiotic Resistance in Bacteria (8 papers) and Herpesvirus Infections and Treatments (8 papers). The work is most often cited by research in Endocrinology (180 citations), Molecular Medicine (136 citations) and Infectious Diseases (453 citations). L. B. Guze has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John Z. Montgomerie, G. M. Kalmanson, Anthony W. Chow, Milan Fiala, Thomas T. Yoshikawa, John E. Edwards, Michael C. Schotz, John E. Payne, Thomas V. Berne and W Henle. Their work appears in journals such as The Lancet, Annals of Internal Medicine and Clinical Infectious Diseases.
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.