Samuel Booth
Impact in
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
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- Antibiotic Resistance in Bacteria
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 6
- Neurological disorders and treatments 5
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- Functional Brain Connectivity Studies 3
- Co-authors
- T D Wilkins (2 shared papers)J. L. Johnson (2 shared papers)Ji Hyun Ko (9 shared papers)Ayoub Rashtchian (3 shared papers)George R. Dubes (2 shared papers)Roger L. Van Tassell (1 shared paper)Eugene L. Martin (1 shared paper)Chong Sik Lee (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (2 papers)npj Parkinson s Disease (2 papers)Journal of Bacteriology (2 papers)Molecular Psychiatry (1 paper)Brain Connectivity (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Samuel Booth
22 papers receiving 315 citations
Peers
Comparison fields: 5 of 84
- Clinical Biochemistry 48
- Molecular Medicine 33
- Neurology 53
- Endocrinology 19
- Infectious Diseases 62
Countries citing papers authored by Samuel Booth
This map shows the geographic impact of Samuel Booth'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 Samuel Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Booth more than expected).
Fields of papers citing papers by Samuel Booth
This network shows the impact of papers produced by Samuel Booth. 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 Samuel Booth. The network helps show where Samuel Booth may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Booth, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1977 | 53 | |
| 2 | 1979 | 50 | |
| 3 | 1976 | 32 | |
| 4 | 2022 | 29 | |
| 5 | 1982 | 25 | |
| 6 | 1982 | 21 | |
| 7 | 2024 | 19 | |
| 8 | 1988 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 1989 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2020 | 9 | |
| 15 | 1986 | 9 | |
| 16 | 1981 | 9 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2014 | 2 |
About Samuel Booth
Samuel Booth is a scholar working on Neurology, Cognitive Neuroscience, Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 23 papers that have together received 353 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological disorders and treatments (5 papers), Functional Brain Connectivity Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Clinical Biochemistry (48 citations), Molecular Medicine (33 citations), Neurology (53 citations), Endocrinology (19 citations) and Infectious Diseases (62 citations). Samuel Booth has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include T D Wilkins, J. L. Johnson, Ji Hyun Ko, Ayoub Rashtchian, George R. Dubes, Roger L. Van Tassell, Eugene L. Martin, Chong Sik Lee, Kye Won Park and I. Beheshti. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, npj Parkinson s Disease, Journal of Bacteriology, Molecular Psychiatry and Brain Connectivity.
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.