Mathias Friedrich
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Aging top 10%
Papers in
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- Cancer Genomics and Diagnostics 5
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- CRISPR and Genetic Engineering 10
- Pluripotent Stem Cells Research 2
- RNA and protein synthesis mechanisms 2
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Roland Rad (5 shared papers)Dieter Saur (3 shared papers)Wolfgang Reindl (1 shared paper)Hermann Wagner (1 shared paper)Christian Prinz (1 shared paper)Lena Brenner (1 shared paper)Susanne Schwendy (1 shared paper)Roland Michael Schmid (2 shared papers)
- Journals
- JAMA (3 papers)Nature Genetics (2 papers)JNCI Journal of the National Cancer Institute (2 papers)Nature Protocols (2 papers)Nature Communications (2 papers)
- Partner nations
- GermanyUnited KingdomSpain
In The Last Decade
Mathias Friedrich
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 247
- Aging 32
- Oncology 365
- Business and International Management 27
- Molecular Biology 699
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 323 | |
| 2 | 2006 | 235 | |
| 3 | 2015 | 158 | |
| 4 | 2016 | 142 | |
| 5 | 2014 | 64 | |
| 6 | 2019 | 49 | |
| 7 | 2017 | 46 | |
| 8 | 2019 | 43 | |
| 9 | 2017 | 40 | |
| 10 | 2017 | 35 | |
| 11 | 2013 | 33 | |
| 12 | 2020 | 27 | |
| 13 | 2020 | 21 | |
| 14 | 2021 | 11 | |
| 15 | 2018 | 9 | |
| 16 | 2001 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2010 | 1 |
About Mathias Friedrich
Mathias Friedrich is a scholar working on Cancer Research, Molecular Biology, Hematology, Oncology and Genetics, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Cancer Genomics and Diagnostics (5 papers), Pluripotent Stem Cells Research (2 papers), CAR-T cell therapy research (2 papers), Acute Myeloid Leukemia Research (2 papers), Chromosomal and Genetic Variations (2 papers), RNA and protein synthesis mechanisms (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cancer Research (247 citations), Aging (32 citations), Oncology (365 citations), Business and International Management (27 citations) and Molecular Biology (699 citations). Mathias Friedrich has collaborated with scholars based in Germany, United Kingdom and Spain. Frequent co-authors include Roland Rad, Dieter Saur, Wolfgang Reindl, Hermann Wagner, Christian Prinz, Lena Brenner, Susanne Schwendy, Roland Michael Schmid, Clarissa Prazeres da Costa and Stefan Bauer. Their work appears in journals such as JAMA, Nature Genetics, JNCI Journal of the National Cancer Institute, Nature Protocols and Nature Communications.
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.