Rüdiger Neef
Impact in
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Molecular Biology top 10%
- Photosynthetic Processes and Mechanisms
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
Papers in
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- Photosynthetic Processes and Mechanisms 4
- Viral Infectious Diseases and Gene Expression in Insects 2
- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
- Mitochondrial Function and Pathology 1
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- Microtubule and mitosis dynamics 8
- Cellular transport and secretion 3
- Co-authors
- Francis A. Barr (7 shared papers)Erich A. Nigg (5 shared papers)Ulrike Grüneberg (4 shared papers)Robert Kopajtich (3 shared papers)Xiuling Li (2 shared papers)Reiko Honda (1 shared paper)Christian Preisinger (1 shared paper)Thomas U. Mayer (1 shared paper)
- Journals
- The Journal of Cell Biology (3 papers)Current Biology (1 paper)Molecular Biology of the Cell (1 paper)Engineering in Life Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUkraineUnited States
In The Last Decade
Rüdiger Neef
10 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Cell Biology 1.1k
- Molecular Biology 1.0k
- Oncology 230
- Aging 15
- Plant Science 161
Countries citing papers authored by Rüdiger Neef
This map shows the geographic impact of Rüdiger Neef'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 Rüdiger Neef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rüdiger Neef more than expected).
Fields of papers citing papers by Rüdiger Neef
This network shows the impact of papers produced by Rüdiger Neef. 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 Rüdiger Neef. The network helps show where Rüdiger Neef may publish in the future.
Co-authors
The 25 scholars most cited alongside Rüdiger Neef, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 251 | |
| 2 | 2004 | 243 | |
| 3 | 2006 | 228 | |
| 4 | 2007 | 208 | |
| 5 | 2007 | 161 | |
| 6 | 1997 | 128 | |
| 7 | 2006 | 106 | |
| 8 | 2005 | 16 | |
| 9 | 2012 | 6 | |
| 10 | 2023 | 5 |
About Rüdiger Neef
Rüdiger Neef is a scholar working on Molecular Biology, Cell Biology, Surgery, Neurology and Oncology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Photosynthetic Processes and Mechanisms (4 papers), Cellular transport and secretion (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Ubiquitin and proteasome pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Plant nutrient uptake and metabolism (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cell Biology (1.1k citations), Molecular Biology (1.0k citations), Oncology (230 citations), Aging (15 citations) and Plant Science (161 citations). Rüdiger Neef has collaborated with scholars based in Germany, Ukraine and United States. Frequent co-authors include Francis A. Barr, Erich A. Nigg, Ulrike Grüneberg, Robert Kopajtich, Xiuling Li, Reiko Honda, Christian Preisinger, Thomas U. Mayer, Josephine E. Sutcliffe and Eunice HoYee Chan. Their work appears in journals such as The Journal of Cell Biology, Current Biology, Molecular Biology of the Cell, Engineering in Life Sciences and Journal of Biological Chemistry.
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.