Daniel Kümmel
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Erythrocyte Function and Pathophysiology
Papers in ⓘ
- Physiology 12
- Calcium signaling and nucleotide metabolism 12
- Erythrocyte Function and Pathophysiology 7
- Cell Biology 38
- Cellular transport and secretion 35
- 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)James E. Rothman (4 shared papers)Frédéric Pincet (4 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (6 papers)eLife (4 papers)Current Opinion in Cell Biology (3 papers)Journal of Virology (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Daniel Kümmel
62 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Cell Biology 1.1k
- Physiology 259
- Molecular Biology 1.3k
- Physiology 242
- Cellular and Molecular Neuroscience 142
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 163 | |
| 2 | 2011 | 130 | |
| 3 | 2011 | 86 | |
| 4 | 2011 | 74 | |
| 5 | 2018 | 73 | |
| 6 | 2014 | 62 | |
| 7 | 2017 | 60 | |
| 8 | 2020 | 56 | |
| 9 | 2014 | 53 | |
| 10 | 2019 | 51 | |
| 11 | 2005 | 49 | |
| 12 | 2022 | 47 | |
| 13 | 2014 | 45 | |
| 14 | 2013 | 42 | |
| 15 | 2006 | 42 | |
| 16 | 2004 | 40 | |
| 17 | 2021 | 39 | |
| 18 | 2020 | 39 | |
| 19 | 2022 | 37 | |
| 20 | 2005 | 36 |
About Daniel Kümmel
Daniel Kümmel is a scholar working on Physiology, Cell Biology, Molecular Biology, Physiology and Molecular Medicine, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (35 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 Structure and Dynamics (6 papers) and Retinal Development and Disorders (6 papers). The work is most often cited by research in Cell Biology (1.1k citations), Physiology (259 citations), Molecular Biology (1.3k citations), Physiology (242 citations) and Cellular and Molecular Neuroscience (142 citations). Daniel Kümmel has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Christian Ungermann, Udo Heinemann, Karin M. Reinisch, Lars Langemeyer, Feng Li, Konrad Büssow, James E. Rothman, Frédéric Pincet, Christoph Scheich and Shyam S. Krishnakumar. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, eLife, Current Opinion in Cell Biology and Journal of Virology.
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.