John R. Lonks
- Epidemiology top 5%
- Infectious Diseases top 5%
- Microbiology top 1%
- Pharmacology top 5%
- Molecular Medicine top 5%
- Co-authors
- Antone A. MedeirosJavier GarauKeith P. KlugmanAnna Ochoa de EchagüenLucía GómezPhilip T. ReissIlana F. GareenMariona Xercavins
- Topics
- Pneumonia and Respiratory Infections (10 papers)Antimicrobial Resistance in Staphylococcus (9 papers)Bacterial Identification and Susceptibility Testing (6 papers)
- Partner nations
- United StatesSpainSouth Africa
In The Last Decade
John R. Lonks
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Epidemiology 694
- Infectious Diseases 408
- Microbiology 329
- Pharmacology 191
- Molecular Medicine 156
Countries citing papers authored by John R. Lonks
This map shows the geographic impact of John R. Lonks'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 R. Lonks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Lonks more than expected).
Fields of papers citing papers by John R. Lonks
This network shows the impact of papers produced by John R. Lonks. 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 R. Lonks. The network helps show where John R. Lonks may publish in the future.
Co-authorship network of co-authors of John R. Lonks
This figure shows the co-authorship network connecting the top 25 collaborators of John R. Lonks. A scholar is included among the top collaborators of John R. Lonks 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 John R. Lonks. John R. Lonks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Escherichia coli Meningitis in a 72-year-old Woman. | 2 |
| 2 | 0 | |
| 3 | 1 | |
| 4 | Rate of Clostridioides difficile Culture Positivity Among Hospitalized Patients. | 1 |
| 5 | 30 | |
| 6 | COVID-19 in a Patient Presenting with Syncope and a Normal Chest X-ray. | 28 |
| 7 | Antibiotics and Nosocomial Clostridioides difficile, a Retrospective Chart Review. | 1 |
| 8 | 1 | |
| 9 | 221 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 34 | |
| 13 | 36 | |
| 14 | 75 | |
| 15 | 17 | |
| 16 | 13 | |
| 17 | 253 | |
| 18 | 88 | |
| 19 | 25 | |
| 20 | 10 |
About John R. Lonks
John R. Lonks is a scholar working on Microbiology, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Bacterial Identification and Susceptibility Testing (6 papers). The work is most often cited by research in Microbiology (329 citations), Molecular Medicine (156 citations) and Applied Microbiology and Biotechnology (61 citations). John R. Lonks has collaborated with scholars based in United States, Spain and South Africa. Frequent co-authors include Antone A. Medeiros, Javier Garau, Keith P. Klugman, Anna Ochoa de Echagüen, Lucía Gómez, Philip T. Reiss, Ilana F. Gareen, Mariona Xercavins, Philip A. Chan and Erna Milunka Kojic. Their work appears in journals such as Clinical Infectious Diseases, CHEST Journal and Journal of Clinical Microbiology.
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.