David Haselbach
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
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- Ubiquitin and proteasome pathways 9
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 7
- Glycosylation and Glycoproteins Research 4
- Photosynthetic Processes and Mechanisms 4
- RNA Research and Splicing 4
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- Microtubule and mitosis dynamics 3
- Co-authors
- Holger Stark (10 shared papers)Nicholas G. Brown (7 shared papers)Dmitry E. Agafonov (2 shared papers)Henning Urlaub (2 shared papers)Berthold Kastner (2 shared papers)Olexandr Dybkov (2 shared papers)Reinhard Lührmann (2 shared papers)Brenda A. Schulman (5 shared papers)
- Journals
- Structure (5 papers)Nature Communications (4 papers)Proceedings of the National Academy of Sciences (3 papers)Cell (2 papers)eLife (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
David Haselbach
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Structural Biology 121
- Cell Biology 285
- Molecular Biology 1.1k
- Aging 15
- Surfaces, Coatings and Films 60
Countries citing papers authored by David Haselbach
This map shows the geographic impact of David Haselbach'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 David Haselbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Haselbach more than expected).
Fields of papers citing papers by David Haselbach
This network shows the impact of papers produced by David Haselbach. 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 David Haselbach. The network helps show where David Haselbach may publish in the future.
Co-authors
The 25 scholars most cited alongside David Haselbach, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 189 | |
| 2 | 2018 | 162 | |
| 3 | 2020 | 144 | |
| 4 | 2016 | 112 | |
| 5 | 2016 | 109 | |
| 6 | 2020 | 92 | |
| 7 | 2015 | 73 | |
| 8 | 2021 | 72 | |
| 9 | 2022 | 63 | |
| 10 | 2012 | 58 | |
| 11 | 2017 | 53 | |
| 12 | 2023 | 47 | |
| 13 | 2021 | 43 | |
| 14 | 2022 | 35 | |
| 15 | 2023 | 28 | |
| 16 | 2019 | 26 | |
| 17 | 2019 | 22 | |
| 18 | 2021 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2013 | 17 |
About David Haselbach
David Haselbach is a scholar working on Molecular Biology, Cell Biology, Oncology, Structural Biology and Materials Chemistry, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (7 papers), Glycosylation and Glycoproteins Research (4 papers), Photosynthetic Processes and Mechanisms (4 papers), RNA Research and Splicing (4 papers), Peptidase Inhibition and Analysis (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Structural Biology (121 citations), Cell Biology (285 citations), Molecular Biology (1.1k citations), Aging (15 citations) and Surfaces, Coatings and Films (60 citations). David Haselbach has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Holger Stark, Nicholas G. Brown, Dmitry E. Agafonov, Henning Urlaub, Berthold Kastner, Olexandr Dybkov, Reinhard Lührmann, Brenda A. Schulman, Jan‐Michael Peters and Ryan T. VanderLinden. Their work appears in journals such as Structure, Nature Communications, Proceedings of the National Academy of Sciences, Cell and eLife.
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.