Philip Lienau
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Organic Chemistry top 5%
- Synthesis and Catalytic Reactions
- Sulfur-Based Synthesis Techniques
- Catalytic C–H Functionalization Methods
Papers in
-
- DNA Repair Mechanisms 3
- Receptor Mechanisms and Signaling 3
- Oncology 16
- Cancer-related Molecular Pathways 11
- Co-authors
- Andreas Reichel (9 shared papers)Ulrich Lücking (11 shared papers)Gerhard Siemeister (14 shared papers)Antje M. Wengner (12 shared papers)Dominik Mumberg (14 shared papers)Karl Ziegelbauer (10 shared papers)Martina Schäfer (6 shared papers)Ben‐Fillippo Krippendorff (2 shared papers)
- Journals
- Cancer Research (8 papers)Molecular Cancer Therapeutics (3 papers)Journal of Medicinal Chemistry (3 papers)Chemistry - A European Journal (3 papers)Drug Metabolism and Disposition (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Philip Lienau
37 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Oncology 443
- Organic Chemistry 451
- Cell Biology 188
- Molecular Biology 745
- Pharmacology 73
Countries citing papers authored by Philip Lienau
This map shows the geographic impact of Philip Lienau'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 Philip Lienau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Lienau more than expected).
Fields of papers citing papers by Philip Lienau
This network shows the impact of papers produced by Philip Lienau. 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 Philip Lienau. The network helps show where Philip Lienau may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Lienau, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 160 | |
| 2 | 2019 | 148 | |
| 3 | 2012 | 135 | |
| 4 | 2009 | 119 | |
| 5 | 2016 | 86 | |
| 6 | 2013 | 85 | |
| 7 | 2015 | 72 | |
| 8 | 2008 | 67 | |
| 9 | 2016 | 65 | |
| 10 | 2021 | 58 | |
| 11 | 2018 | 52 | |
| 12 | 2017 | 52 | |
| 13 | 2017 | 49 | |
| 14 | 2006 | 42 | |
| 15 | 2006 | 42 | |
| 16 | 2018 | 32 | |
| 17 | 2008 | 30 | |
| 18 | 2021 | 30 | |
| 19 | 2020 | 29 | |
| 20 | 2017 | 27 |
About Philip Lienau
Philip Lienau is a scholar working on Molecular Biology, Oncology, Cell Biology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (11 papers), Microtubule and mitosis dynamics (7 papers), Computational Drug Discovery Methods (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Advanced Breast Cancer Therapies (4 papers), Synthesis and Catalytic Reactions (4 papers), DNA Repair Mechanisms (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Oncology (443 citations), Organic Chemistry (451 citations), Cell Biology (188 citations), Molecular Biology (745 citations) and Pharmacology (73 citations). Philip Lienau has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Andreas Reichel, Ulrich Lücking, Gerhard Siemeister, Antje M. Wengner, Dominik Mumberg, Karl Ziegelbauer, Martina Schäfer, Ben‐Fillippo Krippendorff, Wilhelm Huisinga and Roland Neuhaus. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Medicinal Chemistry, Chemistry - A European Journal and Drug Metabolism and Disposition.
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.