Daniel Koch
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
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- Axon Guidance and Neuronal Signaling
- Neuroscience and Neural Engineering
Papers in
- Cell Biology 17
- Cellular Mechanics and Interactions 11
- Cellular transport and secretion 4
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- Fungal and yeast genetics research 3
- Co-authors
- Josef A. Käs (13 shared papers)Timo Betz (9 shared papers)Jeffrey S. Urbach (3 shared papers)Herbert M. Geller (2 shared papers)William J. Rosoff (1 shared paper)Jiji Jiang (1 shared paper)Allen J. Ehrlicher (7 shared papers)Björn Stuhrmann (6 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Biophysical Journal (3 papers)Nature Communications (2 papers)Journal of Food Science (2 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Koch
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Cell Biology 467
- Cellular and Molecular Neuroscience 334
- Biophysics 73
- Animal Science and Zoology 86
- Developmental Neuroscience 32
Countries citing papers authored by Daniel Koch
This map shows the geographic impact of Daniel Koch'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 Daniel Koch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Koch more than expected).
Fields of papers citing papers by Daniel Koch
This network shows the impact of papers produced by Daniel Koch. 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 Daniel Koch. The network helps show where Daniel Koch may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Koch, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 214 | |
| 2 | 2002 | 152 | |
| 3 | 2005 | 116 | |
| 4 | 2011 | 105 | |
| 5 | 2013 | 76 | |
| 6 | 2017 | 73 | |
| 7 | 1968 | 68 | |
| 8 | 2012 | 40 | |
| 9 | 2009 | 32 | |
| 10 | 2009 | 32 | |
| 11 | 1997 | 21 | |
| 12 | 2015 | 21 | |
| 13 | 2005 | 19 | |
| 14 | 2015 | 19 | |
| 15 | 1968 | 18 | |
| 16 | 2005 | 16 | |
| 17 | 2004 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 1996 | 14 |
About Daniel Koch
Daniel Koch is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (11 papers), Neurobiology and Insect Physiology Research (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), 3D Printing in Biomedical Research (4 papers), Cellular transport and secretion (4 papers), Fungal and yeast genetics research (3 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Cell Biology (467 citations), Cellular and Molecular Neuroscience (334 citations), Biophysics (73 citations), Animal Science and Zoology (86 citations) and Developmental Neuroscience (32 citations). Daniel Koch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Josef A. Käs, Timo Betz, Jeffrey S. Urbach, Herbert M. Geller, William J. Rosoff, Jiji Jiang, Allen J. Ehrlicher, Björn Stuhrmann, Chih‐Kang Shih and Soyeun Park. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Nature Communications, Journal of Food Science and Journal of Theoretical 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.