Philipp Thiel
Impact in
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
-
- 14-3-3 protein interactions
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Protein Structure and Dynamics
Papers in
-
- 14-3-3 protein interactions 8
- Ubiquitin and proteasome pathways 5
- Protein Kinase Regulation and GTPase Signaling 2
- vaccines and immunoinformatics approaches 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Oncology 3
- Co-authors
- Christian Ottmann (9 shared papers)Markus Kaiser (4 shared papers)Benjamin Schumacher (3 shared papers)Michael Weyand (2 shared papers)Oliver Kohlbacher (6 shared papers)Justine Mondry (1 shared paper)David Bier (1 shared paper)Lars Röglin (1 shared paper)
- Journals
- Bioinformatics (2 papers)Nucleic Acids Research (2 papers)Progress in Biophysics and Molecular Biology (1 paper)Chemical Communications (1 paper)FEBS Letters (1 paper)
- Partner nations
- GermanyNetherlandsNorway
In The Last Decade
Philipp Thiel
17 papers receiving 669 citations
Peers
Comparison fields: 5 of 78
- Pharmacology 170
- Molecular Biology 577
- Computational Theory and Mathematics 65
- Oncology 93
- Cell Biology 48
Countries citing papers authored by Philipp Thiel
This map shows the geographic impact of Philipp Thiel'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 Philipp Thiel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Thiel more than expected).
Fields of papers citing papers by Philipp Thiel
This network shows the impact of papers produced by Philipp Thiel. 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 Philipp Thiel. The network helps show where Philipp Thiel may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Thiel, 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 | 2012 | 162 | |
| 2 | 2010 | 101 | |
| 3 | 2013 | 90 | |
| 4 | 2010 | 79 | |
| 5 | 2020 | 55 | |
| 6 | 2013 | 44 | |
| 7 | 2015 | 37 | |
| 8 | 2015 | 19 | |
| 9 | 2012 | 18 | |
| 10 | 2008 | 17 | |
| 11 | 2009 | 13 | |
| 12 | 2014 | 10 | |
| 13 | 2016 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2023 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 1956 | 4 |
About Philipp Thiel
Philipp Thiel is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Pharmacology and Immunology, having authored 17 papers that have together received 673 indexed citations. Recurring topics across this work include 14-3-3 protein interactions (8 papers), Ubiquitin and proteasome pathways (5 papers), Computational Drug Discovery Methods (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Immunotherapy and Immune Responses (2 papers), vaccines and immunoinformatics approaches (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Pharmacology (170 citations), Molecular Biology (577 citations), Computational Theory and Mathematics (65 citations), Oncology (93 citations) and Cell Biology (48 citations). Philipp Thiel has collaborated with scholars based in Germany, Netherlands and Norway. Frequent co-authors include Christian Ottmann, Markus Kaiser, Benjamin Schumacher, Michael Weyand, Oliver Kohlbacher, Justine Mondry, David Bier, Lars Röglin, Ulf R. Rapp and Manuela Molzan. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Progress in Biophysics and Molecular Biology, Chemical Communications and FEBS Letters.
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.