Gerald Koelsch
Impact in
- Physiology top 1%
- Alzheimer's disease research and treatments
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
- Physiology 20
- Alzheimer's disease research and treatments 20
-
- Protein Structure and Dynamics 9
- Machine Learning in Bioinformatics 7
- Glycosylation and Glycoproteins Research 6
- S100 Proteins and Annexins 6
- RNA and protein synthesis mechanisms 5
- Co-authors
- Jordan Tang (37 shared papers)Arun Kumar Ghosh (21 shared papers)Xinli Lin (11 shared papers)Shili Wu (2 shared papers)Hong Lin (12 shared papers)Azar Dashti (1 shared paper)Robert T. Turner (14 shared papers)Jacques Ermolieff (5 shared papers)
- Journals
- Biochemistry (9 papers)Journal of Biological Chemistry (5 papers)Advances in experimental medicine and biology (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Alzheimer s & Dementia (3 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Gerald Koelsch
52 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 105
- Physiology 2.1k
- Computational Theory and Mathematics 1.4k
- Pharmacology 1.2k
- Molecular Biology 1.8k
- Biotechnology 210
Countries citing papers authored by Gerald Koelsch
This map shows the geographic impact of Gerald Koelsch'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 Koelsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Koelsch more than expected).
Fields of papers citing papers by Gerald Koelsch
This network shows the impact of papers produced by Gerald Koelsch. 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 Koelsch. The network helps show where Gerald Koelsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerald Koelsch, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 672 | |
| 2 | 2000 | 622 | |
| 3 | 1998 | 398 | |
| 4 | 2001 | 198 | |
| 5 | 2000 | 188 | |
| 6 | 2002 | 172 | |
| 7 | 2001 | 160 | |
| 8 | 2000 | 116 | |
| 9 | 2017 | 104 | |
| 10 | 2002 | 102 | |
| 11 | 2010 | 96 | |
| 12 | 1994 | 91 | |
| 13 | 1993 | 85 | |
| 14 | 2000 | 82 | |
| 15 | 1992 | 82 | |
| 16 | 2004 | 82 | |
| 17 | 2007 | 81 | |
| 18 | 1991 | 76 | |
| 19 | 2007 | 76 | |
| 20 | 2004 | 69 |
About Gerald Koelsch
Gerald Koelsch is a scholar working on Physiology, Molecular Biology, Biotechnology, Computational Theory and Mathematics and Oncology, having authored 53 papers that have together received 4.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (20 papers), Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (9 papers), Enzyme Production and Characterization (7 papers), Machine Learning in Bioinformatics (7 papers), Glycosylation and Glycoproteins Research (6 papers), S100 Proteins and Annexins (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Physiology (2.1k citations), Computational Theory and Mathematics (1.4k citations), Pharmacology (1.2k citations), Molecular Biology (1.8k citations) and Biotechnology (210 citations). Gerald Koelsch has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Jordan Tang, Arun Kumar Ghosh, Xinli Lin, Shili Wu, Hong Lin, Azar Dashti, Robert T. Turner, Jacques Ermolieff, Simon S. Terzyan and Jeffrey A. Loy. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Advances in experimental medicine and biology, Bioorganic & Medicinal Chemistry Letters and Alzheimer s & Dementia.
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.