M Kitzis
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Microbiology top 2%
Papers in
-
- Antibiotic Resistance in Bacteria 29
- Pharmacology 27
- Antibiotics Pharmacokinetics and Efficacy 26
- Co-authors
- J. F. Acar (26 shared papers)Ludwig Gutmann (12 shared papers)F. W. Goldstein (12 shared papers)F. W. Goldstein (4 shared papers)Shigeru Yamabe (1 shared paper)Jean Carlet (2 shared papers)B Andréassian (14 shared papers)R. Williamson (1 shared paper)
- Journals
- Journal of Antimicrobial Chemotherapy (14 papers)Antimicrobial Agents and Chemotherapy (8 papers)Clinical Microbiology and Infection (2 papers)Biological Trace Element Research (1 paper)Radiology (1 paper)
- Partner nations
- FranceUnited StatesIndia
In The Last Decade
M Kitzis
60 papers receiving 976 citations
Peers
Comparison fields: 5 of 81
- Molecular Medicine 475
- Microbiology 44
- Applied Microbiology and Biotechnology 77
- Pharmacology 398
- Endocrinology 67
Countries citing papers authored by M Kitzis
This map shows the geographic impact of M Kitzis'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 M Kitzis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Kitzis more than expected).
Fields of papers citing papers by M Kitzis
This network shows the impact of papers produced by M Kitzis. 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 M Kitzis. The network helps show where M Kitzis may publish in the future.
Co-authors
The 25 scholars most cited alongside M Kitzis, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 100 | |
| 2 | 1986 | 97 | |
| 3 | 2019 | 58 | |
| 4 | 1999 | 57 | |
| 5 | 1983 | 57 | |
| 6 | 1996 | 55 | |
| 7 | 2006 | 51 | |
| 8 | 1990 | 48 | |
| 9 | 1994 | 42 | |
| 10 | 1979 | 41 | |
| 11 | 1990 | 40 | |
| 12 | 1989 | 39 | |
| 13 | 2012 | 33 | |
| 14 | 1994 | 30 | |
| 15 | 1982 | 30 | |
| 16 | 1993 | 28 | |
| 17 | 1994 | 28 | |
| 18 | 2010 | 25 | |
| 19 | 1989 | 21 | |
| 20 | 1999 | 20 |
About M Kitzis
M Kitzis is a scholar working on Molecular Medicine, Pharmacology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (29 papers), Antibiotics Pharmacokinetics and Efficacy (26 papers), Pneumonia and Respiratory Infections (11 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Antibiotic Use and Resistance (8 papers), Surgical site infection prevention (4 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Infective Endocarditis Diagnosis and Management (4 papers). The work is most often cited by research in Molecular Medicine (475 citations), Microbiology (44 citations), Applied Microbiology and Biotechnology (77 citations), Pharmacology (398 citations) and Endocrinology (67 citations). M Kitzis has collaborated with scholars based in France, United States and India. Frequent co-authors include J. F. Acar, Ludwig Gutmann, F. W. Goldstein, F. W. Goldstein, Shigeru Yamabe, Jean Carlet, B Andréassian, R. Williamson, D Billot-Klein and Guy Tran Van Nhieu. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, Clinical Microbiology and Infection, Biological Trace Element Research and Radiology.
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.