Gerd Folkers
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
Papers in
- Immunology 41
- Toxin Mechanisms and Immunotoxins 17
- Immunotherapy and Immune Responses 15
-
- Monoclonal and Polyclonal Antibodies Research 36
- Co-authors
- Léonardo ScapozzaDidier RognanGian CamenischH. Van De WaterbeemdCaterina BissantzRemo PerozzoHugo KubinyiOleg A. Raevsky
- Journals
- Pharmaceutica Acta Helvetiae (14 papers)Journal of Biological Chemistry (11 papers)Journal of Medicinal Chemistry (7 papers)European Journal of Biochemistry (6 papers)Proteins Structure Function and Bioinformatics (6 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Gerd Folkers
186 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Computational Theory and Mathematics 1.5k
- Pharmacology 492
- Molecular Biology 3.5k
- Pharmaceutical Science 284
- Oncology 1.2k
Countries citing papers authored by Gerd Folkers
This map shows the geographic impact of Gerd Folkers'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 Gerd Folkers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Folkers more than expected).
Fields of papers citing papers by Gerd Folkers
This network shows the impact of papers produced by Gerd Folkers. 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 Gerd Folkers. The network helps show where Gerd Folkers may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerd Folkers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 15 | |
| 2 | 2016 | 91 | |
| 3 | 2014 | 16 | |
| 4 | 2013 | 28 | |
| 5 | 2008 | 13 | |
| 6 | 2004 | 7 | |
| 7 | 2003 | 9 | |
| 8 | 2002 | 62 | |
| 9 | 2002 | 53 | |
| 10 | 2002 | 39 | |
| 11 | 2001 | 7 | |
| 12 | 2000 | 32 | |
| 13 | Ligand-protein interactions and molecular similarity | 1998 | 9 |
| 14 | 1996 | 29 | |
| 15 | 1996 | 9 | |
| 16 | 1995 | 3 | |
| 17 | 1994 | 20 | |
| 18 | 1994 | 27 | |
| 19 | 1992 | 40 | |
| 20 | 1991 | 24 |
About Gerd Folkers
Gerd Folkers is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Computational Theory and Mathematics and Oncology, having authored 192 papers that have together received 7.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (36 papers), Herpesvirus Infections and Treatments (28 papers), Toxin Mechanisms and Immunotoxins (17 papers), Computational Drug Discovery Methods (17 papers), Immunotherapy and Immune Responses (15 papers), Protein Structure and Dynamics (14 papers), Chemical Synthesis and Analysis (14 papers) and Drug Transport and Resistance Mechanisms (12 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Pharmacology (492 citations), Molecular Biology (3.5k citations), Pharmaceutical Science (284 citations) and Oncology (1.2k citations). Gerd Folkers has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Léonardo Scapozza, Didier Rognan, Gian Camenisch, H. Van De Waterbeemd, Caterina Bissantz, Remo Perozzo, Hugo Kubinyi, Oleg A. Raevsky, Yvonne C. Martin and Jacques R. Chrétien. Their work appears in journals such as Pharmaceutica Acta Helvetiae, Journal of Biological Chemistry, Journal of Medicinal Chemistry, European Journal of Biochemistry and Proteins Structure Function and Bioinformatics.
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.