Daniel Kümmel
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
Papers in
- Cell Biology 39
- Cellular transport and secretion 39
-
- Biochemical and Structural Characterization 5
- PI3K/AKT/mTOR signaling in cancer 4
- Protein Kinase Regulation and GTPase Signaling 4
- Enzyme Catalysis and Immobilization 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Christian Ungermann (17 shared papers)Udo Heinemann (11 shared papers)Karin M. Reinisch (8 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
- 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)Angewandte Chemie International Edition (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Daniel Kümmel
64 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 84
- Cell Biology 1k
- Molecular Biology 611
- Biochemistry 42
- Epidemiology 179
- Structural Biology 11
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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 187 | |
| 2 | 2007 | 175 | |
| 3 | 2011 | 138 | |
| 4 | 2020 | 128 | |
| 5 | 2011 | 94 | |
| 6 | 2011 | 81 | |
| 7 | 2018 | 78 | |
| 8 | 2014 | 67 | |
| 9 | 2020 | 64 | |
| 10 | 2017 | 63 | |
| 11 | 2014 | 59 | |
| 12 | 2019 | 59 | |
| 13 | 2022 | 55 | |
| 14 | 2005 | 54 | |
| 15 | 2014 | 49 | |
| 16 | 2020 | 49 | |
| 17 | 2021 | 49 | |
| 18 | 2006 | 45 | |
| 19 | 2013 | 45 | |
| 20 | 2022 | 44 |
About Daniel Kümmel
Daniel Kümmel is a scholar working on Cell Biology, Molecular Biology, Materials Chemistry, Physiology and Pharmacology, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (39 papers), Enzyme Structure and Function (6 papers), Biochemical and Structural Characterization (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Tuberous Sclerosis Complex Research (3 papers), Enzyme Catalysis and Immobilization (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cell Biology (1k citations), Molecular Biology (611 citations), Biochemistry (42 citations), Epidemiology (179 citations) and Structural Biology (11 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, Frédéric Pincet, James E. Rothman, Christoph Scheich and Andrea Rentmeister. 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 Angewandte Chemie International Edition.
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.