Gerald Beste
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Molecular Biology top 10%
- Heat shock proteins research
- Glycosylation and Glycoproteins Research
- ATP Synthase and ATPases Research
Papers in
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- Advanced Biosensing Techniques and Applications 3
- Advanced biosensing and bioanalysis techniques 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Heat shock proteins research 1
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Arne Skerra (4 shared papers)Daniel G. Jay (2 shared papers)Brenda K. Eustace (2 shared papers)Stefan Henning (2 shared papers)Leodevico L. Ilag (2 shared papers)Bradley T. Scroggins (1 shared paper)Dean Yimlamai (1 shared paper)Len Neckers (1 shared paper)
- Journals
- PROTEOMICS (2 papers)Drug Discovery Today (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Gerald Beste
9 papers receiving 960 citations
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 232
- Molecular Biology 750
- Cell Biology 125
- Biotechnology 64
- Physical and Theoretical Chemistry 65
Countries citing papers authored by Gerald Beste
This map shows the geographic impact of Gerald Beste'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 Gerald Beste with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Beste more than expected).
Fields of papers citing papers by Gerald Beste
This network shows the impact of papers produced by Gerald Beste. 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 Gerald Beste. The network helps show where Gerald Beste may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerald Beste, 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 | 2004 | 470 | |
| 2 | 1999 | 187 | |
| 3 | 2002 | 86 | |
| 4 | 2000 | 83 | |
| 5 | 1995 | 62 | |
| 6 | 2003 | 39 | |
| 7 | 2002 | 38 | |
| 8 | 2002 | 13 | |
| 9 | 2004 | 12 |
About Gerald Beste
Gerald Beste is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Genetics and Physiology, having authored 9 papers that have together received 990 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Enzyme Structure and Function (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Heat shock proteins research (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (232 citations), Molecular Biology (750 citations), Cell Biology (125 citations), Biotechnology (64 citations) and Physical and Theoretical Chemistry (65 citations). Gerald Beste has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Arne Skerra, Daniel G. Jay, Brenda K. Eustace, Stefan Henning, Leodevico L. Ilag, Bradley T. Scroggins, Dean Yimlamai, Len Neckers, Jean K. Stewart and Christine Unger. Their work appears in journals such as PROTEOMICS, Drug Discovery Today, Proteins Structure Function and Bioinformatics, Proceedings of the National Academy of Sciences and Nature Cell Biology.
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.