James A. McKinnell
- Infectious Diseases top 1%
- Epidemiology top 5%
- Molecular Medicine top 1%
- Clinical Biochemistry top 0.5%
- Molecular Biology
- Co-authors
- Loren G. MillerSarah M. BartschSusan S. HuangBruce Y. LeePatrick T. WedlockKelly J. O’SheaSheryl S. SiegmundMarie C. Ferguson
- Topics
- Antimicrobial Resistance in Staphylococcus (30 papers)Bacterial Identification and Susceptibility Testing (25 papers)Antibiotic Use and Resistance (24 papers)
- Journals
- Journal of the American College of CardiologyClinical Infectious DiseasesAmerican Journal of Epidemiology
- Partner nations
- United StatesFinlandSouth Africa
In The Last Decade
James A. McKinnell
78 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 136
- Infectious Diseases 1.3k
- Epidemiology 806
- Molecular Medicine 495
- Clinical Biochemistry 480
- Molecular Biology 349
Countries citing papers authored by James A. McKinnell
This map shows the geographic impact of James A. McKinnell'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 A. McKinnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. McKinnell more than expected).
Fields of papers citing papers by James A. McKinnell
This network shows the impact of papers produced by James A. McKinnell. 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 A. McKinnell. The network helps show where James A. McKinnell may publish in the future.
Co-authorship network of co-authors of James A. McKinnell
This figure shows the co-authorship network connecting the top 25 collaborators of James A. McKinnell. A scholar is included among the top collaborators of James A. McKinnell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James A. McKinnell. James A. McKinnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 14 | |
| 5 | 29 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 141 | |
| 9 | 13 | |
| 10 | 154 | |
| 11 | 31 | |
| 12 | 24 | |
| 13 | 9 | |
| 14 | 53 | |
| 15 | 13 | |
| 16 | 58 | |
| 17 | 26 | |
| 18 | 39 | |
| 19 | 21 | |
| 20 | 11 |
About James A. McKinnell
James A. McKinnell is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 81 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (30 papers), Bacterial Identification and Susceptibility Testing (25 papers) and Antibiotic Use and Resistance (24 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (333 citations), Molecular Medicine (495 citations) and Clinical Biochemistry (480 citations). James A. McKinnell has collaborated with scholars based in United States, Finland and South Africa. Frequent co-authors include Loren G. Miller, Sarah M. Bartsch, Susan S. Huang, Bruce Y. Lee, Patrick T. Wedlock, Kelly J. O’Shea, Sheryl S. Siegmund, Marie C. Ferguson, Samantha J. Eells and Arnold S. Bayer. Their work appears in journals such as Journal of the American College of Cardiology, Clinical Infectious Diseases and American Journal of Epidemiology.
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.