Philip Lienau

2.3k citations
37 papers · 1.4k · h-index 21

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Synthesis and Catalytic Reactions
    • Sulfur-Based Synthesis Techniques
    • Catalytic C–H Functionalization Methods

Papers in

    • Receptor Mechanisms and Signaling 3
    • Sphingolipid Metabolism and Signaling 3
    • Cancer-related Molecular Pathways 11

Philip Lienau

37 papers receiving 1.4k citations

Peers

Philip Lienau
Comparison fields: 5 of 93
  • Oncology 468
  • Organic Chemistry 433
  • Cell Biology 188
  • Molecular Biology 766
  • Pharmacology 79
Replace Linjiang Tong with:
Linjiang Tong China
Hong Ding China
Michael I. Walton United Kingdom
Stuart L. Emanuel United States
R.J. Skene United States
Jörg Czech Germany
Joseph Schoepfer Switzerland
Valentina Zuco Italy
Anna Kruczynski France
Sanjeev Shangary United States
Philip Lienau relative to Linjiang Tong China Linjiang Tong's profile →
Citations per field
00.5×1.5×
Linjiang Tong · 1×
Citations per year

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-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.

Border = papers with Philip Lienau Line = papers co-authored together Philip Lienau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013152
2 2019145
3 2012131
4 2009109
5 201685
6 201383
7 201567
8 201662
9 200860
10 202153
11 201752
12 201850
13 201748
14 200641
15 200638
16 201830
17 202129
18 200828
19 202026
20 201726

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 1.4k 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), Receptor Mechanisms and Signaling (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Oncology (468 citations), Organic Chemistry (433 citations), Cell Biology (188 citations), Molecular Biology (766 citations) and Pharmacology (79 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, Wilhelm Huisinga, Ben‐Fillippo Krippendorff and Roland Neuhaus. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Medicinal Chemistry, Chemistry - A European Journal and SLAS DISCOVERY.

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.

Explore authors with similar magnitude of impact