Thilo Werner

6.9k total citations · 3 hit papers
25 papers, 3.5k citations indexed

About

Thilo Werner is a scholar working on Molecular Biology, Spectroscopy and Hematology. According to data from OpenAlex, Thilo Werner has authored 25 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Spectroscopy and 6 papers in Hematology. Recurrent topics in Thilo Werner's work include Ubiquitin and proteasome pathways (8 papers), Advanced Proteomics Techniques and Applications (7 papers) and Protein Degradation and Inhibitors (7 papers). Thilo Werner is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Advanced Proteomics Techniques and Applications (7 papers) and Protein Degradation and Inhibitors (7 papers). Thilo Werner collaborates with scholars based in Germany, United Kingdom and United States. Thilo Werner's co-authors include Marcus Bantscheff, Mikhail M. Savitski, Bernhard Küster, Gerard Drewes, Maria Fälth Savitski, Friedrich Reinhard, Holger Franken, Carola Doce, Gavain M.A. Sweetman and Dirk Eberhard and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Thilo Werner

25 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tracking cancer drugs in living cells by thermal profiling of the proteome

2014 796 citations Mikhail M. Savitski, Friedrich Reinhard et al. Science profile →
Computational prediction of proteotypic peptides for quantitative proteomics

2006 551 citations Parag Mallick, Markus Schirle et al. Nature Biotechnology profile →
Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometry

2015 434 citations Holger Franken, Toby Mathieson et al. Nature Protocols profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thilo Werner Germany	21	2.8k	1.3k	347	345	326	25	3.5k
Devin K. Schweppe United States	27	2.8k 1.0×	1.1k 0.9×	227 0.7×	126 0.4×	388 1.2×	53	3.6k
Thomas E. Wales United States	31	2.6k 0.9×	951 0.7×	151 0.4×	74 0.2×	316 1.0×	89	3.8k
Holger Franken Germany	8	1.6k 0.6×	660 0.5×	164 0.5×	253 0.7×	158 0.5×	9	2.1k
Stephen Tanner United States	15	2.5k 0.9×	1.2k 0.9×	181 0.5×	142 0.4×	189 0.6×	17	3.0k
Andrew M. Petros United States	32	3.4k 1.2×	239 0.2×	318 0.9×	356 1.0×	659 2.0×	60	4.4k
Justin D. Blethrow United States	16	3.1k 1.1×	643 0.5×	196 0.6×	75 0.2×	509 1.6×	20	4.0k
Roland S. Annan United States	40	4.4k 1.6×	1.7k 1.4×	167 0.5×	156 0.5×	1.1k 3.3×	76	6.0k
Dominic Helm Germany	23	1.6k 0.6×	517 0.4×	136 0.4×	127 0.4×	163 0.5×	52	2.2k
Gavain M.A. Sweetman United Kingdom	14	2.3k 0.8×	1.6k 1.3×	94 0.3×	115 0.3×	152 0.5×	19	3.0k
Maria Fälth Savitski Germany	8	1.2k 0.4×	461 0.4×	134 0.4×	178 0.5×	130 0.4×	10	1.5k

Countries citing papers authored by Thilo Werner

Since Specialization

Citations

This map shows the geographic impact of Thilo Werner'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 Thilo Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thilo Werner more than expected).

Fields of papers citing papers by Thilo Werner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thilo Werner. 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 Thilo Werner. The network helps show where Thilo Werner may publish in the future.

Co-authorship network of co-authors of Thilo Werner

This figure shows the co-authorship network connecting the top 25 collaborators of Thilo Werner. A scholar is included among the top collaborators of Thilo Werner 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 Thilo Werner. Thilo Werner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gade, Stephan, Martín Garrido‐Rodríguez, Anna Rutkowska, et al.. (2024). Network integration of thermal proteome profiling with multi-omics data decodes PARP inhibition. Molecular Systems Biology. 20(4). 458–474. 2 indexed citations

Zinn, Nico, Thilo Werner, Carola Doce, et al.. (2021). Improved Proteomics-Based Drug Mechanism-of-Action Studies Using 16-Plex Isobaric Mass Tags. Journal of Proteome Research. 20(3). 1792–1801. 30 indexed citations

Bamborough, Paul, Chun‐wa Chung, Peter D. Craggs, et al.. (2020). Application of Atypical Acetyl-lysine Methyl Mimetics in the Development of Selective Inhibitors of the Bromodomain-Containing Protein 7 (BRD7)/Bromodomain-Containing Protein 9 (BRD9) Bromodomains. Journal of Medicinal Chemistry. 63(11). 5816–5840. 27 indexed citations

Watson, Robert J., Paul Bamborough, Heather Barnett, et al.. (2020). GSK789: A Selective Inhibitor of the First Bromodomains (BD1) of the Bromo and Extra Terminal Domain (BET) Proteins. Journal of Medicinal Chemistry. 63(17). 9045–9069. 63 indexed citations

Eberl, H. Christian, Thilo Werner, Friedrich Reinhard, et al.. (2019). Chemical proteomics reveals target selectivity of clinical Jak inhibitors in human primary cells. Scientific Reports. 9(1). 14159–14159. 33 indexed citations

Sridharan, Sindhuja, Nils Kurzawa, Thilo Werner, et al.. (2019). Proteome-wide solubility and thermal stability profiling reveals distinct regulatory roles for ATP. Nature Communications. 10(1). 1155–1155. 176 indexed citations

Bamborough, Paul, Chun‐wa Chung, Rebecca C. Furze, et al.. (2018). Aiming to Miss a Moving Target: Bromo and Extra Terminal Domain (BET) Selectivity in Constrained ATAD2 Inhibitors. Journal of Medicinal Chemistry. 61(18). 8321–8336. 18 indexed citations

Kumar, Sanjay, Vijaya G. Tirunagaru, Jennifer L. Ariazi, et al.. (2017). A Novel Acyl-CoA: Diacylglycerol Acyltransferase 1 (DGAT1) Inhibitor, GSK2973980A, Inhibits Postprandial Triglycerides and Reduces Body Weight in a Rodent Diet-induced Obesity Model. Journal of Pharmaceutical Research International. 18(6). 1–15. 3 indexed citations

Becher, Isabelle, Thilo Werner, Carola Doce, et al.. (2016). Thermal profiling reveals phenylalanine hydroxylase as an off-target of panobinostat. Nature Chemical Biology. 12(11). 908–910. 165 indexed citations

10.

Rutkowska, Anna, Douglas W. Thomson, Johanna Vappiani, et al.. (2016). A Modular Probe Strategy for Drug Localization, Target Identification and Target Occupancy Measurement on Single Cell Level. ACS Chemical Biology. 11(9). 2541–2550. 67 indexed citations

11.

Franken, Holger, Toby Mathieson, Dorothee Childs, et al.. (2015). Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometry. Nature Protocols. 10(10). 1567–1593. 434 indexed citations breakdown →

12.

Reinhard, Friedrich, Dirk Eberhard, Thilo Werner, et al.. (2015). Thermal proteome profiling monitors ligand interactions with cellular membrane proteins. Nature Methods. 12(12). 1129–1131. 219 indexed citations

13.

Bamborough, Paul, Chun‐wa Chung, Rebecca C. Furze, et al.. (2015). Structure-Based Optimization of Naphthyridones into Potent ATAD2 Bromodomain Inhibitors. Journal of Medicinal Chemistry. 58(15). 6151–6178. 64 indexed citations

14.

Savitski, Mikhail M., Friedrich Reinhard, Holger Franken, et al.. (2014). Tracking cancer drugs in living cells by thermal profiling of the proteome. Science. 346(6205). 1255784–1255784. 796 indexed citations breakdown →

15.

Ellard, Katie, et al.. (2012). Discovery of 5-(2-amino-[1,2,4]triazolo[1,5-a]pyridin-7-yl)-N-(tert-butyl)pyridine-3-sulfonamide (CZC24758), as a potent, orally bioavailable and selective inhibitor of PI3K for the treatment of inflammatory disease. Bioorganic & Medicinal Chemistry Letters. 22(14). 4613–4618. 20 indexed citations

16.

Werner, Thilo, Isabelle Becher, Gavain M.A. Sweetman, et al.. (2012). High-Resolution Enabled TMT 8-plexing. Analytical Chemistry. 84(16). 7188–7194. 150 indexed citations

17.

Kruse, Ulrich, Christian P. Pallasch, Marcus Bantscheff, et al.. (2010). Chemoproteomics-based kinome profiling and target deconvolution of clinical multi-kinase inhibitors in primary chronic lymphocytic leukemia cells. Leukemia. 25(1). 89–100. 55 indexed citations

18.

Mallick, Parag, Markus Schirle, Sharon S. Chen, et al.. (2006). Computational prediction of proteotypic peptides for quantitative proteomics. Nature Biotechnology. 25(1). 125–131. 551 indexed citations breakdown →

19.

Panse, Vikram Govind, Ulrike Hardeland, Thilo Werner, Bernhard Küster, & Ed Hurt. (2004). A Proteome-wide Approach Identifies Sumoylated Substrate Proteins in Yeast. Journal of Biological Chemistry. 279(40). 41346–41351. 214 indexed citations

20.

Beinert, T., D. Binder, Martin Stuschke, et al.. (1999). Oxidant-induced lung injury in anticancer therapy.. PubMed. 4(2). 43–53. 27 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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