K. Berneis
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
-
- Hemoglobin structure and function
Papers in
-
- Lipid Membrane Structure and Behavior 5
- DNA and Nucleic Acid Chemistry 4
-
- Surfactants and Colloidal Systems 2
- Co-authors
- A. Pletscher (11 shared papers)M. Da Prada (9 shared papers)M. Kofler (8 shared papers)Wendy B. Bollag (7 shared papers)A. Langemann (2 shared papers)A. Kaiser (2 shared papers)J. P. Tranzer (1 shared paper)Manfredi Rizzo (4 shared papers)
- Journals
- Cellular and Molecular Life Sciences (7 papers)Helvetica Chimica Acta (3 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (2 papers)Nature (2 papers)Inflammation Research (1 paper)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
K. Berneis
34 papers receiving 657 citations
Peers
Comparison fields: 5 of 100
- Biochemistry 46
- Cell Biology 98
- Cellular and Molecular Neuroscience 108
- Molecular Biology 354
- Biophysics 30
Countries citing papers authored by K. Berneis
This map shows the geographic impact of K. Berneis'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. Berneis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Berneis more than expected).
Fields of papers citing papers by K. Berneis
This network shows the impact of papers produced by K. Berneis. 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. Berneis. The network helps show where K. Berneis may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Berneis, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1963 | 80 | |
| 2 | 1969 | 73 | |
| 3 | 1971 | 69 | |
| 4 | 1969 | 54 | |
| 5 | 1963 | 53 | |
| 6 | 1963 | 39 | |
| 7 | 1971 | 35 | |
| 8 | 1970 | 34 | |
| 9 | The significance of low-density-lipoproteins size in vascular diseases. | 2006 | 33 |
| 10 | 2010 | 25 | |
| 11 | 1971 | 25 | |
| 12 | 1970 | 25 | |
| 13 | 1973 | 20 | |
| 14 | 1964 | 16 | |
| 15 | 1963 | 15 | |
| 16 | 1979 | 15 | |
| 17 | 1964 | 15 | |
| 18 | 1973 | 15 | |
| 19 | 1974 | 14 | |
| 20 | 1966 | 11 |
About K. Berneis
K. Berneis is a scholar working on Molecular Biology, Organic Chemistry, Biochemistry, Materials Chemistry and Surgery, having authored 35 papers that have together received 731 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Lipid Membrane Structure and Behavior (5 papers), Lanthanide and Transition Metal Complexes (4 papers), Electron Spin Resonance Studies (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Surfactants and Colloidal Systems (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Biochemistry (46 citations), Cell Biology (98 citations), Cellular and Molecular Neuroscience (108 citations), Molecular Biology (354 citations) and Biophysics (30 citations). K. Berneis has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include A. Pletscher, M. Da Prada, M. Kofler, Wendy B. Bollag, A. Langemann, A. Kaiser, J. P. Tranzer, Manfredi Rizzo, A. Studer and W. Lergier. Their work appears in journals such as Cellular and Molecular Life Sciences, Helvetica Chimica Acta, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Nature and Inflammation Research.
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.