Philip Lienau

2.3k total citations
37 papers, 1.4k citations indexed

About

Philip Lienau is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Philip Lienau has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Oncology and 7 papers in Cell Biology. Recurrent topics in Philip Lienau's work include Cancer-related Molecular Pathways (11 papers), Microtubule and mitosis dynamics (7 papers) and Computational Drug Discovery Methods (5 papers). Philip Lienau is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Microtubule and mitosis dynamics (7 papers) and Computational Drug Discovery Methods (5 papers). Philip Lienau collaborates with scholars based in Germany, United States and United Kingdom. Philip Lienau's co-authors include Andreas Reichel, Ulrich Lücking, Gerhard Siemeister, Antje M. Wengner, Dominik Mumberg, Karl Ziegelbauer, Martina Schäfer, Wilhelm Huisinga, Ben‐Fillippo Krippendorff and Roland Neuhaus and has published in prestigious journals such as Blood, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Philip Lienau

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip Lienau Germany 21 766 468 433 204 188 37 1.4k
Jörg Czech Germany 16 712 0.9× 495 1.1× 222 0.5× 163 0.8× 170 0.9× 33 1.3k
Yiqun Li China 9 866 1.1× 681 1.5× 242 0.6× 465 2.3× 229 1.2× 25 1.7k
Linjiang Tong China 30 1.5k 1.9× 604 1.3× 689 1.6× 379 1.9× 108 0.6× 99 2.3k
Stuart L. Emanuel United States 24 763 1.0× 565 1.2× 765 1.8× 113 0.6× 117 0.6× 42 1.9k
R.J. Skene United States 22 1.4k 1.8× 816 1.7× 485 1.1× 171 0.8× 86 0.5× 34 2.5k
Wen‐Hsing Lin Taiwan 19 569 0.7× 260 0.6× 212 0.5× 94 0.5× 143 0.8× 45 987
Kanami Yamazaki Japan 17 892 1.2× 334 0.7× 238 0.5× 130 0.6× 136 0.7× 27 1.4k
Joseph Schoepfer Switzerland 24 1.5k 2.0× 470 1.0× 532 1.2× 149 0.7× 111 0.6× 43 2.0k
Jaroslav Veselý Czechia 8 674 0.9× 524 1.1× 196 0.5× 130 0.6× 260 1.4× 17 1.1k
Hong Ding China 26 1.7k 2.2× 349 0.7× 311 0.7× 105 0.5× 81 0.4× 80 2.3k

Countries citing papers authored by Philip Lienau

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Philip Lienau

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Lienau. A scholar is included among the top collaborators of Philip Lienau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip Lienau. Philip Lienau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lewis, Timothy A., Manuel Ellermann, Charlotte Kopitz, et al.. (2024). Discovery of BAY 2666605, a Molecular Glue for PDE3A and SLFN12. ACS Medicinal Chemistry Letters. 15(10). 1662–1667. 3 indexed citations
2.
Lemos, Clara, Volker Schulze, Simon J. Baumgart, et al.. (2021). The potent AMPK inhibitor BAY-3827 shows strong efficacy in androgen-dependent prostate cancer models. Cellular Oncology. 44(3). 581–594. 29 indexed citations
3.
Wengner, Antje M., Gerhard Siemeister, Ulrich Lücking, et al.. (2019). The Novel ATR Inhibitor BAY 1895344 Is Efficacious as Monotherapy and Combined with DNA Damage–Inducing or Repair–Compromising Therapies in Preclinical Cancer Models. Molecular Cancer Therapeutics. 19(1). 26–38. 145 indexed citations
4.
5.
Lewis, Timothy A., Luc de Waal, Xiaoyun Wu, et al.. (2019). Optimization of PDE3A Modulators for SLFN12-Dependent Cancer Cell Killing. ACS Medicinal Chemistry Letters. 10(11). 1537–1542. 20 indexed citations
6.
Schäfer, Martina, et al.. (2018). Exploration of Novel Chemical Space: Synthesis and in vitro Evaluation of N‐Functionalized Tertiary Sulfonimidamides. Chemistry - A European Journal. 24(37). 9295–9304. 50 indexed citations
7.
Schäfer, Martina, et al.. (2018). Cover Feature: Exploration of Novel Chemical Space: Synthesis and in vitro Evaluation of N‐Functionalized Tertiary Sulfonimidamides (Chem. Eur. J. 37/2018). Chemistry - A European Journal. 24(37). 9166–9166. 2 indexed citations
8.
9.
Siegel, Franziska, Antje M. Wengner, Claudia Lange, et al.. (2017). BAY 1143269, a novel MNK1 inhibitor, targets oncogenic protein expression and shows potent anti-tumor activity. Cancer Letters. 390. 21–29. 48 indexed citations
10.
11.
Wengner, Antje M., Gerhard Siemeister, Marcus Koppitz, et al.. (2016). Novel Mps1 Kinase Inhibitors with Potent Antitumor Activity. Molecular Cancer Therapeutics. 15(4). 583–592. 85 indexed citations
12.
Reichel, Andreas & Philip Lienau. (2015). Pharmacokinetics in Drug Discovery: An Exposure-Centred Approach to Optimising and Predicting Drug Efficacy and Safety. Handbook of experimental pharmacology. 232. 235–260. 67 indexed citations
13.
14.
Jèmaà, Mohamed, Lorenzo Galluzzi, Oliver Kepp, et al.. (2013). Characterization of novel MPS1 inhibitors with preclinical anticancer activity. Cell Death and Differentiation. 20(11). 1532–1545. 83 indexed citations
15.
16.
Siemeister, Gerhard, Ulrich Lücking, Antje M. Wengner, et al.. (2012). BAY 1000394, a Novel Cyclin-Dependent Kinase Inhibitor, with Potent Antitumor Activity in Mono- and in Combination Treatment upon Oral Application. Molecular Cancer Therapeutics. 11(10). 2265–2273. 131 indexed citations
17.
Krippendorff, Ben‐Fillippo, Roland Neuhaus, Philip Lienau, Andreas Reichel, & Wilhelm Huisinga. (2009). Mechanism-Based Inhibition: Deriving KI and kinact Directly from Time-Dependent IC50 Values. SLAS DISCOVERY. 14(8). 913–923. 109 indexed citations
18.
Hoffmann, Jens, Iduna Fichtner, M Lemm, et al.. (2008). Sagopilone crosses the blood–brain barrier in vivo to inhibit brain tumor growth and metastases. Neuro-Oncology. 11(2). 158–166. 60 indexed citations
19.
Lücking, Ulrich, Gerhard Siemeister, Martina Schäfer, et al.. (2006). Macrocyclic Aminopyrimidines as Multitarget CDK and VEGF‐R Inhibitors with Potent Antiproliferative Activities. ChemMedChem. 2(1). 63–77. 38 indexed citations
20.
Krippendorff, Ben‐Fillippo, Philip Lienau, Andreas Reichel, & Wilhelm Huisinga. (2006). Optimizing Classification of Drug-Drug Interaction Potential for CYP450 Isoenzyme Inhibition Assays in Early Drug Discovery. SLAS DISCOVERY. 12(1). 92–99. 41 indexed citations

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.

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