Egon E. Rickli
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Biotechnology top 2%
- Enzyme Production and Characterization
Papers in
-
- Glycosylation and Glycoproteins Research 5
- S100 Proteins and Annexins 4
- Machine Learning in Bioinformatics 4
-
- Protease and Inhibitor Mechanisms 17
- Co-authors
- John T. Edsall (2 shared papers)Barbara Gibbons (1 shared paper)P. Lerch (3 shared papers)W. Lergier (4 shared papers)Dieter Gillessen (4 shared papers)Johann Schaller (16 shared papers)Thomas M. Marti (6 shared papers)Peter Moser (3 shared papers)
- Journals
- European Journal of Biochemistry (15 papers)Journal of Biological Chemistry (5 papers)Biochemistry (2 papers)Thrombosis and Haemostasis (2 papers)FEBS Letters (2 papers)
- Partner nations
- SwitzerlandUnited StatesJapan
In The Last Decade
Egon E. Rickli
39 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 509
- Biotechnology 203
- Hematology 223
- Molecular Biology 1.0k
- Physical and Theoretical Chemistry 135
Countries citing papers authored by Egon E. Rickli
This map shows the geographic impact of Egon E. Rickli'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 Egon E. Rickli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Egon E. Rickli more than expected).
Fields of papers citing papers by Egon E. Rickli
This network shows the impact of papers produced by Egon E. Rickli. 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 Egon E. Rickli. The network helps show where Egon E. Rickli may publish in the future.
Co-authors
The 25 scholars most cited alongside Egon E. Rickli, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1964 | 416 | |
| 2 | 1980 | 199 | |
| 3 | 1987 | 106 | |
| 4 | 1982 | 91 | |
| 5 | 1988 | 84 | |
| 6 | 1975 | 82 | |
| 7 | 1986 | 80 | |
| 8 | 1986 | 74 | |
| 9 | 1985 | 72 | |
| 10 | 1962 | 57 | |
| 11 | 1973 | 55 | |
| 12 | 1971 | 49 | |
| 13 | 1994 | 45 | |
| 14 | 1991 | 44 | |
| 15 | 1980 | 41 | |
| 16 | 1979 | 36 | |
| 17 | 1991 | 32 | |
| 18 | 1986 | 29 | |
| 19 | 1982 | 26 | |
| 20 | 1988 | 23 |
About Egon E. Rickli
Egon E. Rickli is a scholar working on Molecular Biology, Cancer Research, Biotechnology, Immunology and Hematology, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (17 papers), Enzyme Production and Characterization (10 papers), Glycosylation and Glycoproteins Research (5 papers), Complement system in diseases (5 papers), S100 Proteins and Annexins (4 papers), Peptidase Inhibition and Analysis (4 papers), Machine Learning in Bioinformatics (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). The work is most often cited by research in Cancer Research (509 citations), Biotechnology (203 citations), Hematology (223 citations), Molecular Biology (1.0k citations) and Physical and Theoretical Chemistry (135 citations). Egon E. Rickli has collaborated with scholars based in Switzerland, United States and Japan. Frequent co-authors include John T. Edsall, Barbara Gibbons, P. Lerch, W. Lergier, Dieter Gillessen, Johann Schaller, Thomas M. Marti, Peter Moser, J. Schaller and Kazuko Akiyama. Their work appears in journals such as European Journal of Biochemistry, Journal of Biological Chemistry, Biochemistry, Thrombosis and Haemostasis and FEBS Letters.
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.