James Baber
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
- Clostridium difficile and Clostridium perfringens research
Papers in
-
- Antimicrobial Resistance in Staphylococcus 9
- Clostridium difficile and Clostridium perfringens research 3
-
- Infective Endocarditis Diagnosis and Management 2
- Pneumonia and Respiratory Infections 2
- Co-authors
- Annaliesa S. Anderson (9 shared papers)William C. Gruber (9 shared papers)Kathrin U. Jansen (8 shared papers)David Cooper (7 shared papers)Qin Jiang (4 shared papers)Peter Richmond (4 shared papers)Douglas Girgenti (4 shared papers)Kathrin U. Jansen (3 shared papers)
- Journals
- Vaccine (5 papers)Human Vaccines & Immunotherapeutics (2 papers)Journal of Infection (2 papers)Open Forum Infectious Diseases (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
James Baber
13 papers receiving 339 citations
Peers
Comparison fields: 5 of 49
- Microbiology 102
- Infectious Diseases 190
- Molecular Medicine 35
- Applied Microbiology and Biotechnology 10
- Epidemiology 130
Countries citing papers authored by James Baber
This map shows the geographic impact of James Baber'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 James Baber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Baber more than expected).
Fields of papers citing papers by James Baber
This network shows the impact of papers produced by James Baber. 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 James Baber. The network helps show where James Baber may publish in the future.
Co-authors
The 25 scholars most cited alongside James Baber, 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 | 2013 | 64 | |
| 2 | 2016 | 51 | |
| 3 | 2015 | 50 | |
| 4 | 2016 | 43 | |
| 5 | 2022 | 27 | |
| 6 | 2017 | 27 | |
| 7 | 2021 | 23 | |
| 8 | 2018 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2016 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2019 | 5 |
About James Baber
James Baber is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Surgery and Molecular Biology, having authored 13 papers that have together received 349 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial Infections and Vaccines (5 papers), Bacterial biofilms and quorum sensing (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Surgical site infection prevention (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Pneumonia and Respiratory Infections (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Microbiology (102 citations), Infectious Diseases (190 citations), Molecular Medicine (35 citations), Applied Microbiology and Biotechnology (10 citations) and Epidemiology (130 citations). James Baber has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Annaliesa S. Anderson, William C. Gruber, Kathrin U. Jansen, David Cooper, Qin Jiang, Peter Richmond, Douglas Girgenti, Kathrin U. Jansen, Helen Marshall and Edward T. Zito. Their work appears in journals such as Vaccine, Human Vaccines & Immunotherapeutics, Journal of Infection, Open Forum Infectious Diseases and The Journal of 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.