Peter Steinlein
- Immunology top 5%
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 4
- Molecular Biology top 2%
- RNA Interference and Gene Delivery 6
- CRISPR and Genetic Engineering 4
- Cancer-related gene regulation 4
- Genetics top 5%
- Virus-based gene therapy research 6
- Genetics top 2%
- Virus-based gene therapy research 6
- Hematology top 5%
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- Cytokine Signaling Pathways and Interactions 9
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- Erythrocyte Function and Pathophysiology 6
- Co-authors
- Hartmut BeugErnst WagnerManfred OgrisKarl MechtlerDagmar StoiberThomas DeckerRalf KircheisMalgorzata Kursa
- Cited by
- ImmunologyMolecular BiologyGenetics
- Journals
- Blood (6 papers)The Journal of Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Peter Steinlein
47 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 879
- Molecular Biology 2.8k
- Genetics 321
- Genetics 801
- Hematology 315
Countries citing papers authored by Peter Steinlein
This map shows the geographic impact of Peter Steinlein'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 Peter Steinlein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Steinlein more than expected).
Fields of papers citing papers by Peter Steinlein
This network shows the impact of papers produced by Peter Steinlein. 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 Peter Steinlein. The network helps show where Peter Steinlein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Steinlein, 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 | 2007 | 68 | |
| 2 | The profile of repeat‐associated histone lysine methylation states in the mouse epigenomebreakdown → | 2005 | 523 |
| 3 | 2005 | 24 | |
| 4 | 2004 | 203 | |
| 5 | 2004 | 12 | |
| 6 | 2003 | 8 | |
| 7 | 2003 | 55 | |
| 8 | 2000 | 32 | |
| 9 | 1999 | 31 | |
| 10 | 1999 | 117 | |
| 11 | 1999 | 61 | |
| 12 | 1999 | 133 | |
| 13 | 1999 | 236 | |
| 14 | 1997 | 24 | |
| 15 | 1995 | 46 | |
| 16 | 1995 | 29 | |
| 17 | 1994 | 28 | |
| 18 | 1993 | 81 | |
| 19 | 1992 | 52 | |
| 20 | 1988 | 2 |
About Peter Steinlein
Peter Steinlein is a scholar working on Immunology, Oncology, Cell Biology, Molecular Biology and Hematology, having authored 47 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (9 papers), Virus-based gene therapy research (6 papers), Erythrocyte Function and Pathophysiology (6 papers), RNA Interference and Gene Delivery (6 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related gene regulation (4 papers), Immune Cell Function and Interaction (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Immunology (879 citations), Molecular Biology (2.8k citations), Genetics (321 citations), Genetics (801 citations) and Hematology (315 citations). Peter Steinlein has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Hartmut Beug, Ernst Wagner, Manfred Ogris, Karl Mechtler, Dagmar Stoiber, Thomas Decker, Ralf Kircheis, Malgorzata Kursa, Marieke von Lindern and Martin Radolf. Their work appears in journals such as Blood, The Journal of Immunology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Cell Science.
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.