Mathias Friedrich
Impact in
-
- Galectins and Cancer Biology
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
Papers in
-
- CRISPR and Genetic Engineering 5
- Advanced biosensing and bioanalysis techniques 1
- Protein Degradation and Inhibitors 1
- Surgery 4
- Bladder and Urothelial Cancer Treatments 3
- Co-authors
- Roland Rad (5 shared papers)Dieter Saur (3 shared papers)Anar Dossumbekova (1 shared paper)Hermann Wagner (1 shared paper)Susanne Schwendy (1 shared paper)Roland M. Schmid (1 shared paper)Stefan Bauer (1 shared paper)Clarissa Prazeres da Costa (1 shared paper)
- Journals
- JAMA (3 papers)JNCI Journal of the National Cancer Institute (2 papers)Nature Protocols (2 papers)Scientific Reports (1 paper)Lung Cancer (1 paper)
- Partner nations
- GermanyUnited KingdomSpain
In The Last Decade
Mathias Friedrich
15 papers receiving 393 citations
Peers
Comparison fields: 5 of 67
- Immunology 160
- Aging 12
- Surgery 182
- Gastroenterology 18
- Small Animals 19
Countries citing papers authored by Mathias Friedrich
This map shows the geographic impact of Mathias Friedrich'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 Mathias Friedrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Friedrich more than expected).
Fields of papers citing papers by Mathias Friedrich
This network shows the impact of papers produced by Mathias Friedrich. 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 Mathias Friedrich. The network helps show where Mathias Friedrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Friedrich, 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 | 2006 | 219 | |
| 2 | 2019 | 43 | |
| 3 | 2013 | 31 | |
| 4 | 2017 | 31 | |
| 5 | 2017 | 26 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 9 | |
| 8 | 2018 | 7 | |
| 9 | 2018 | 6 | |
| 10 | 2001 | 4 | |
| 11 | 2005 | 2 | |
| 12 | 2003 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2009 | 0 |
About Mathias Friedrich
Mathias Friedrich is a scholar working on Molecular Biology, Surgery, Oncology, Infectious Diseases and General Health Professions, having authored 16 papers that have together received 398 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Bladder and Urothelial Cancer Treatments (3 papers), Advanced biosensing and bioanalysis techniques (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Protein Degradation and Inhibitors (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Galectins and Cancer Biology (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Immunology (160 citations), Aging (12 citations), Surgery (182 citations), Gastroenterology (18 citations) and Small Animals (19 citations). Mathias Friedrich has collaborated with scholars based in Germany, United Kingdom and Spain. Frequent co-authors include Roland Rad, Dieter Saur, Anar Dossumbekova, Hermann Wagner, Susanne Schwendy, Roland M. Schmid, Stefan Bauer, Clarissa Prazeres da Costa, Wolfgang Reindl and Christian Prinz. Their work appears in journals such as JAMA, JNCI Journal of the National Cancer Institute, Nature Protocols, Scientific Reports and Lung Cancer.
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.