Eva Grüner
Impact in
- Endocrinology top 2%
- Diphtheria, Corynebacterium, and Tetanus
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Clostridium difficile and Clostridium perfringens research 4
-
- Diphtheria, Corynebacterium, and Tetanus 7
- Co-authors
- Martin Altwegg (7 shared papers)A. von Graevenitz (3 shared papers)A.W.D. Lepper (1 shared paper)Andrew Milner (1 shared paper)Alexander von Graevenitz (2 shared papers)Jacques Gubler (1 shared paper)Johannes Hüebner (2 shared papers)G E Pfyffer (1 shared paper)
- Journals
- Journal of Clinical Microbiology (3 papers)The Journal of Infectious Diseases (3 papers)Infection (3 papers)Journal of Microbiological Methods (2 papers)Clinical Infectious Diseases (2 papers)
- Partner nations
- SwitzerlandGermanyMalaysia
In The Last Decade
Eva Grüner
23 papers receiving 487 citations
Peers
Comparison fields: 5 of 97
- Endocrinology 213
- Clinical Biochemistry 97
- Small Animals 74
- Microbiology 7
- Infectious Diseases 134
Countries citing papers authored by Eva Grüner
This map shows the geographic impact of Eva Grüner'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 Eva Grüner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Grüner more than expected).
Fields of papers citing papers by Eva Grüner
This network shows the impact of papers produced by Eva Grüner. 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 Eva Grüner. The network helps show where Eva Grüner may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Grüner, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 82 | |
| 2 | 1998 | 58 | |
| 3 | 1993 | 47 | |
| 4 | 1994 | 45 | |
| 5 | 1992 | 41 | |
| 6 | 1994 | 34 | |
| 7 | 1993 | 33 | |
| 8 | 1994 | 26 | |
| 9 | 1994 | 22 | |
| 10 | 1993 | 21 | |
| 11 | 1994 | 21 | |
| 12 | 1993 | 20 | |
| 13 | 1994 | 18 | |
| 14 | 2016 | 16 | |
| 15 | 1964 | 12 | |
| 16 | 2022 | 9 | |
| 17 | 1964 | 8 | |
| 18 | 1997 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 5 |
About Eva Grüner
Eva Grüner is a scholar working on Infectious Diseases, Endocrinology, Epidemiology, Molecular Biology and Clinical Biochemistry, having authored 24 papers that have together received 537 indexed citations. Recurring topics across this work include Diphtheria, Corynebacterium, and Tetanus (7 papers), Antibiotic Resistance in Bacteria (5 papers), Mycobacterium research and diagnosis (5 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Bacterial Genetics and Biotechnology (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Endocrinology (213 citations), Clinical Biochemistry (97 citations), Small Animals (74 citations), Microbiology (7 citations) and Infectious Diseases (134 citations). Eva Grüner has collaborated with scholars based in Switzerland, Germany and Malaysia. Frequent co-authors include Martin Altwegg, A. von Graevenitz, A.W.D. Lepper, Andrew Milner, Alexander von Graevenitz, Jacques Gubler, Johannes Hüebner, G E Pfyffer, Gaby E. Pfyffer and Franz Daschner. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases, Infection, Journal of Microbiological Methods and Clinical 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.