Daniel Kümmel
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Erythrocyte Function and Pathophysiology
Papers in
-
- Lipid Membrane Structure and Behavior 12
- RNA and protein synthesis mechanisms 8
- Protein Kinase Regulation and GTPase Signaling 6
- Protein Structure and Dynamics 6
- Cell Biology 39
- Cellular transport and secretion 36
- Endoplasmic Reticulum Stress and Disease 11
- Co-authors
- Christian Ungermann (17 shared papers)Udo Heinemann (11 shared papers)Karin M. Reinisch (9 shared papers)Lars Langemeyer (10 shared papers)Feng Li (5 shared papers)Konrad Büssow (2 shared papers)Frédéric Pincet (4 shared papers)James E. Rothman (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Journal of Biological Chemistry (6 papers)eLife (4 papers)Nature Communications (3 papers)Current Opinion in Cell Biology (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniel Kümmel
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 97
- Cell Biology 1.1k
- Physiology 262
- Molecular Biology 1.3k
- Physiology 249
- Cellular and Molecular Neuroscience 146
Countries citing papers authored by Daniel Kümmel
This map shows the geographic impact of Daniel Kümmel'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 Kümmel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kümmel more than expected).
Fields of papers citing papers by Daniel Kümmel
This network shows the impact of papers produced by Daniel Kümmel. 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 Kümmel. The network helps show where Daniel Kümmel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kümmel, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 165 | |
| 2 | 2011 | 138 | |
| 3 | 2011 | 87 | |
| 4 | 2011 | 79 | |
| 5 | 2018 | 76 | |
| 6 | 2014 | 64 | |
| 7 | 2017 | 61 | |
| 8 | 2020 | 59 | |
| 9 | 2014 | 55 | |
| 10 | 2019 | 53 | |
| 11 | 2022 | 53 | |
| 12 | 2005 | 50 | |
| 13 | 2014 | 48 | |
| 14 | 2021 | 45 | |
| 15 | 2013 | 43 | |
| 16 | 2006 | 43 | |
| 17 | 2022 | 42 | |
| 18 | 2004 | 40 | |
| 19 | 2020 | 40 | |
| 20 | 2005 | 37 |
About Daniel Kümmel
Daniel Kümmel is a scholar working on Molecular Biology, Cell Biology, Physiology, Physiology and Genetics, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (36 papers), Calcium signaling and nucleotide metabolism (12 papers), Lipid Membrane Structure and Behavior (12 papers), Endoplasmic Reticulum Stress and Disease (11 papers), RNA and protein synthesis mechanisms (8 papers), Erythrocyte Function and Pathophysiology (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Cell Biology (1.1k citations), Physiology (262 citations), Molecular Biology (1.3k citations), Physiology (249 citations) and Cellular and Molecular Neuroscience (146 citations). Daniel Kümmel has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christian Ungermann, Udo Heinemann, Karin M. Reinisch, Lars Langemeyer, Feng Li, Konrad Büssow, Frédéric Pincet, James E. Rothman, Christoph Scheich and Shyam S. Krishnakumar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, eLife, Nature Communications and Current Opinion in 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.