Inga Hänelt
Impact in
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
- Structural Biology top 10%
Papers in
-
- Ion channel regulation and function 9
- Ion Transport and Channel Regulation 4
- Lipid Membrane Structure and Behavior 4
- Genetics 11
- Bacterial Genetics and Biotechnology 11
- Co-authors
- Dorith Wunnicke (13 shared papers)Dirk Jan Slotboom (5 shared papers)Roberto Covino (3 shared papers)Gerhard Hummer (4 shared papers)Robert Ernst (2 shared papers)Heinz‐Jürgen Steinhoff (4 shared papers)Harald F. Hofbauer (1 shared paper)Antoine M. van Oijen (1 shared paper)
- Journals
- Nature Communications (8 papers)Journal of Biological Chemistry (4 papers)Biological Chemistry (2 papers)eLife (2 papers)Nature Structural & Molecular Biology (2 papers)
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Inga Hänelt
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 118
- Biochemistry 166
- Structural Biology 23
- Biophysics 89
- Cell Biology 213
- Molecular Biology 824
Countries citing papers authored by Inga Hänelt
This map shows the geographic impact of Inga Hänelt'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 Inga Hänelt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inga Hänelt more than expected).
Fields of papers citing papers by Inga Hänelt
This network shows the impact of papers produced by Inga Hänelt. 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 Inga Hänelt. The network helps show where Inga Hänelt may publish in the future.
Co-authors
The 25 scholars most cited alongside Inga Hänelt, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 248 | |
| 2 | 2020 | 136 | |
| 3 | 2021 | 116 | |
| 4 | 2013 | 108 | |
| 5 | 2013 | 97 | |
| 6 | 2013 | 75 | |
| 7 | 2020 | 70 | |
| 8 | 2019 | 61 | |
| 9 | 2017 | 49 | |
| 10 | 2018 | 44 | |
| 11 | 2013 | 41 | |
| 12 | 2015 | 37 | |
| 13 | 2015 | 37 | |
| 14 | 2024 | 30 | |
| 15 | 2013 | 28 | |
| 16 | 2018 | 28 | |
| 17 | 2010 | 26 | |
| 18 | 2010 | 24 | |
| 19 | 2020 | 22 | |
| 20 | 2011 | 18 |
About Inga Hänelt
Inga Hänelt is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Spectroscopy and Biophysics, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Ion channel regulation and function (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Enzyme Structure and Function (5 papers), Ion Transport and Channel Regulation (4 papers), Electron Spin Resonance Studies (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Biochemistry (166 citations), Structural Biology (23 citations), Biophysics (89 citations), Cell Biology (213 citations) and Molecular Biology (824 citations). Inga Hänelt has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Dorith Wunnicke, Dirk Jan Slotboom, Roberto Covino, Gerhard Hummer, Robert Ernst, Heinz‐Jürgen Steinhoff, Harald F. Hofbauer, Antoine M. van Oijen, Guus B. Erkens and Volker Müller. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Biological Chemistry, eLife and Nature Structural & Molecular 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.