Stefan Prechtl
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Genomics and Chromatin Dynamics 4
- Ubiquitin and proteasome pathways 3
- Epigenetics and DNA Methylation 2
- Oncology 6
- Cancer Cells and Metastasis 2
- Co-authors
- Michael Lohoff (4 shared papers)David A. Ferrick (2 shared papers)Hans‐Willi Mittrücker (2 shared papers)Tak W. Mak (2 shared papers)Gordon S. Duncan (2 shared papers)Dominik Mumberg (6 shared papers)Gerhard Siemeister (4 shared papers)Frank Sommer (2 shared papers)
- Journals
- Experimental Cell Research (2 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Stefan Prechtl
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Cell Biology 318
- Immunology 349
- Oncology 388
- Biophysics 72
- Cancer Research 110
Countries citing papers authored by Stefan Prechtl
This map shows the geographic impact of Stefan Prechtl'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 Stefan Prechtl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Prechtl more than expected).
Fields of papers citing papers by Stefan Prechtl
This network shows the impact of papers produced by Stefan Prechtl. 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 Stefan Prechtl. The network helps show where Stefan Prechtl may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Prechtl, 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 | 2002 | 200 | |
| 2 | 2014 | 193 | |
| 3 | 2007 | 161 | |
| 4 | 2000 | 142 | |
| 5 | 2016 | 85 | |
| 6 | 2013 | 83 | |
| 7 | 2018 | 53 | |
| 8 | 1998 | 38 | |
| 9 | 2017 | 33 | |
| 10 | 2000 | 32 | |
| 11 | 2008 | 27 | |
| 12 | 2015 | 19 | |
| 13 | 2014 | 19 | |
| 14 | 2016 | 8 | |
| 15 | 2018 | 1 | |
| 16 | 2015 | 1 |
About Stefan Prechtl
Stefan Prechtl is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Epidemiology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Genomics and Chromatin Dynamics (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Cells and Metastasis (2 papers), Research on Leishmaniasis Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cell Biology (318 citations), Immunology (349 citations), Oncology (388 citations), Biophysics (72 citations) and Cancer Research (110 citations). Stefan Prechtl has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Michael Lohoff, David A. Ferrick, Hans‐Willi Mittrücker, Tak W. Mak, Gordon S. Duncan, Dominik Mumberg, Gerhard Siemeister, Frank Sommer, Volker Schulze and Sonja Kock. Their work appears in journals such as Experimental Cell Research, Cancer Research, Molecular Cancer Therapeutics, Clinical Cancer Research and The Journal of Immunology.
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.