Patrick Steigemann
- Cell Biology top 2%
- Microtubule and mitosis dynamics 6
- Aging top 10%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 3
- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 2
- Biophysics top 5%
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- Cancer Cells and Metastasis 3
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- Cancer, Hypoxia, and Metabolism 3
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- Axon Guidance and Neuronal Signaling 2
- Co-authors
- Daniel W. GerlichClaudia WurzenbergerMichael HeldJulien GuizettiMichael H. A. SchmitzGerd VorbrüggenHerbert JäckleSonja Fellert
- Cited by
- Cell BiologyAgingMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cell Death and Disease (2 papers)Experimental Cell Research (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Patrick Steigemann
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Cell Biology 724
- Aging 28
- Molecular Biology 947
- Biophysics 74
- Oncology 224
Countries citing papers authored by Patrick Steigemann
This map shows the geographic impact of Patrick Steigemann'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 Patrick Steigemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Steigemann more than expected).
Fields of papers citing papers by Patrick Steigemann
This network shows the impact of papers produced by Patrick Steigemann. 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 Patrick Steigemann. The network helps show where Patrick Steigemann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick Steigemann, 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 | 2024 | 11 | |
| 2 | 2023 | 3 | |
| 3 | 2020 | 22 | |
| 4 | 2018 | 32 | |
| 5 | 2017 | 33 | |
| 6 | 2015 | 52 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 27 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2014 | 193 | |
| 12 | 2009 | 481 | |
| 13 | 2009 | 125 | |
| 14 | 2009 | 37 | |
| 15 | 2009 | 106 | |
| 16 | 2004 | 169 | |
| 17 | 2002 | 36 | |
| 18 | 2000 | 21 |
About Patrick Steigemann
Patrick Steigemann is a scholar working on Cell Biology, Cancer Research and Molecular Biology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Cancer, Hypoxia, and Metabolism (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Cells and Metastasis (3 papers), Ubiquitin and proteasome pathways (3 papers), RNA modifications and cancer (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cell Biology (724 citations), Aging (28 citations) and Molecular Biology (947 citations). Patrick Steigemann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Daniel W. Gerlich, Claudia Wurzenberger, Michael Held, Julien Guizetti, Michael H. A. Schmitz, Gerd Vorbrüggen, Herbert Jäckle, Sonja Fellert, Karsten Parczyk and Stefan Prechtl. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Death and Disease, Experimental Cell Research, Cancer Research and Molecular Cancer Therapeutics.
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.