F. E. Lehmann
Impact in
-
- Caveolin-1 and cellular processes
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
Papers in ⓘ
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- Amoebic Infections and Treatments 2
- Co-authors
- A Bairati (6 shared papers)Richard M. Eakin (1 shared paper)Frank W. Falkenberg (1 shared paper)Gerhard Pfleiderer (1 shared paper)Anthony C. Clement (1 shared paper)Vincenzo Mancuso (1 shared paper)A. Scholl (2 shared papers)E Manni (1 shared paper)
- Journals
- Die Naturwissenschaften (4 papers)Experimental Cell Research (3 papers)Cellular and Molecular Life Sciences (3 papers)Journal of Molecular Medicine (1 paper)PROTOPLASMA (1 paper)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
F. E. Lehmann
27 papers receiving 365 citations
Peers
Comparison fields: 5 of 117
- Cell Biology 72
- Artificial Intelligence 92
- Molecular Biology 158
- Structural Biology 3
- Physiology 9
Countries citing papers authored by F. E. Lehmann
This map shows the geographic impact of F. E. Lehmann'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 F. E. Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. E. Lehmann more than expected).
Fields of papers citing papers by F. E. Lehmann
This network shows the impact of papers produced by F. E. Lehmann. 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 F. E. Lehmann. The network helps show where F. E. Lehmann may publish in the future.
Co-authors
The 14 scholars most cited alongside F. E. Lehmann, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Semantic Networks in Artificial Intelligence | 1992 | 111 |
| 2 | 1952 | 55 | |
| 3 | 1957 | 46 | |
| 4 | 1953 | 34 | |
| 5 | 1955 | 18 | |
| 6 | 1962 | 17 | |
| 7 | 1969 | 16 | |
| 8 | 1954 | 16 | |
| 9 | 1954 | 11 | |
| 10 | 1956 | 11 | |
| 11 | 1958 | 10 | |
| 12 | 1956 | 10 | |
| 13 | 1956 | 10 | |
| 14 | 1957 | 8 | |
| 15 | 1993 | 7 | |
| 16 | 1956 | 7 | |
| 17 | 1966 | 6 | |
| 18 | 1957 | 5 | |
| 19 | 1952 | 5 | |
| 20 | 1951 | 5 |
About F. E. Lehmann
F. E. Lehmann is a scholar working on Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine, Ecology, Evolution, Behavior and Systematics and Artificial Intelligence, having authored 28 papers that have together received 428 indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (2 papers), Blood properties and coagulation (2 papers), Metabolism and Genetic Disorders (1 paper), Diet, Metabolism, and Disease (1 paper), Soft tissue tumor case studies (1 paper), Electron and X-Ray Spectroscopy Techniques (1 paper), Chemical Reactions and Isotopes (1 paper) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Cell Biology (72 citations), Artificial Intelligence (92 citations), Molecular Biology (158 citations), Structural Biology (3 citations) and Physiology (9 citations). F. E. Lehmann has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include A Bairati, Richard M. Eakin, Frank W. Falkenberg, Gerhard Pfleiderer, Anthony C. Clement, Vincenzo Mancuso, A. Scholl, E Manni, R. Hauser and P. D. Nieuwkoop. Their work appears in journals such as Die Naturwissenschaften, Experimental Cell Research, Cellular and Molecular Life Sciences, Journal of Molecular Medicine and PROTOPLASMA.
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.