K Neftel
Impact in
- Hematology top 2%
- Autoimmune and Inflammatory Disorders Research
- Hematopoietic Stem Cell Transplantation
- Microbiology top 5%
Papers in
- Pharmacology 15
- Antibiotics Pharmacokinetics and Efficacy 13
- Drug-Induced Adverse Reactions 4
- Hematology 10
- Blood groups and transfusion 4
- Autoimmune and Inflammatory Disorders Research 4
- Co-authors
- Urban Emmenegger (4 shared papers)M. Schmid (1 shared paper)Jan Fehr (1 shared paper)P Frick (1 shared paper)C. Larroche (1 shared paper)Dominik J. Schaer (1 shared paper)Philippe Cottagnoud (5 shared papers)Ulrich Hübscher (3 shared papers)
- Journals
- Journal of Molecular Medicine (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)Cell Biology and Toxicology (3 papers)Nucleic Acids Research (2 papers)Blood (2 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
K Neftel
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Hematology 348
- Microbiology 67
- Infectious Diseases 189
- Pharmacology 91
- Pharmacology 161
Countries citing papers authored by K Neftel
This map shows the geographic impact of K Neftel'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 K Neftel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Neftel more than expected).
Fields of papers citing papers by K Neftel
This network shows the impact of papers produced by K Neftel. 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 K Neftel. The network helps show where K Neftel may publish in the future.
Co-authors
The 25 scholars most cited alongside K Neftel, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 226 | |
| 2 | 2005 | 131 | |
| 3 | 2001 | 104 | |
| 4 | 1990 | 100 | |
| 5 | 1982 | 70 | |
| 6 | 1987 | 46 | |
| 7 | 1984 | 36 | |
| 8 | 1996 | 31 | |
| 9 | 1999 | 28 | |
| 10 | 1999 | 28 | |
| 11 | 2000 | 27 | |
| 12 | 1990 | 25 | |
| 13 | 1983 | 22 | |
| 14 | 2009 | 21 | |
| 15 | 1990 | 21 | |
| 16 | 1991 | 20 | |
| 17 | 1990 | 17 | |
| 18 | 1987 | 16 | |
| 19 | 1986 | 16 | |
| 20 | 1986 | 16 |
About K Neftel
K Neftel is a scholar working on Pharmacology, Hematology, Immunology, Molecular Biology and Oncology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (13 papers), Blood disorders and treatments (7 papers), Pneumonia and Respiratory Infections (4 papers), Drug-Induced Adverse Reactions (4 papers), Blood groups and transfusion (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Hematology (348 citations), Microbiology (67 citations), Infectious Diseases (189 citations), Pharmacology (91 citations) and Pharmacology (161 citations). K Neftel has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Urban Emmenegger, M. Schmid, Jan Fehr, P Frick, C. Larroche, Dominik J. Schaer, Philippe Cottagnoud, Ulrich Hübscher, Daniel Frey and J Gmür. Their work appears in journals such as Journal of Molecular Medicine, Antimicrobial Agents and Chemotherapy, Cell Biology and Toxicology, Nucleic Acids Research and Blood.
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.