Matthias Wirth

4.0k total citations · 1 hit paper
44 papers, 2.2k citations indexed

About

Matthias Wirth is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Matthias Wirth has authored 44 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 21 papers in Oncology and 8 papers in Immunology. Recurrent topics in Matthias Wirth's work include Pancreatic and Hepatic Oncology Research (12 papers), Ubiquitin and proteasome pathways (8 papers) and Histone Deacetylase Inhibitors Research (8 papers). Matthias Wirth is often cited by papers focused on Pancreatic and Hepatic Oncology Research (12 papers), Ubiquitin and proteasome pathways (8 papers) and Histone Deacetylase Inhibitors Research (8 papers). Matthias Wirth collaborates with scholars based in Germany, United States and Switzerland. Matthias Wirth's co-authors include Vincent Zoete, Olivier Michielin, Aurélien Grosdidier, Antoine Daina, David Gfeller, Günter Schneider, Oliver H. Krämer, Dieter Saur, Wolfgang Sauer and Roland M. Schmid and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Matthias Wirth

43 papers receiving 2.2k citations

Hit Papers

SwissTargetPrediction: a web server for target prediction... 2014 2026 2018 2022 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Wirth Germany 19 1.3k 515 453 272 266 44 2.2k
Zhe Chen China 23 1.2k 0.9× 380 0.7× 264 0.6× 212 0.8× 235 0.9× 83 2.1k
Onat Kadioglu Germany 26 1.1k 0.8× 216 0.4× 486 1.1× 209 0.8× 198 0.7× 63 2.0k
Zunnan Huang China 26 1.6k 1.2× 333 0.6× 320 0.7× 219 0.8× 231 0.9× 116 2.6k
Xiaojun Yao Macao 23 989 0.7× 303 0.6× 255 0.6× 113 0.4× 240 0.9× 99 1.9k
Mohane Selvaraj Coumar India 27 1.2k 0.9× 298 0.6× 511 1.1× 147 0.5× 161 0.6× 96 2.3k
Marina Ignatushchenko United States 9 1.9k 1.4× 304 0.6× 440 1.0× 148 0.5× 217 0.8× 10 2.9k
Nam Doo Kim South Korea 32 1.8k 1.3× 230 0.4× 384 0.8× 161 0.6× 159 0.6× 102 2.9k
Weidong Zhang China 25 1.2k 0.9× 124 0.2× 286 0.6× 200 0.7× 170 0.6× 86 2.0k
John B. Bruning Australia 29 2.3k 1.7× 277 0.5× 390 0.9× 414 1.5× 252 0.9× 123 3.5k
Chenzhong Liao China 29 1.5k 1.1× 357 0.7× 599 1.3× 82 0.3× 174 0.7× 107 2.5k

Countries citing papers authored by Matthias Wirth

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Wirth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Wirth

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Wirth. A scholar is included among the top collaborators of Matthias Wirth 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 Matthias Wirth. Matthias Wirth 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
2.
Linnebacher, Michael, et al.. (2023). NOXA Accentuates Apoptosis Induction by a Novel Histone Deacetylase Inhibitor. Cancers. 15(14). 3650–3650. 5 indexed citations
3.
Wagner, Kristina, Soraya Hölper, Manuel Kaulich, et al.. (2023). Characterization of nucleolar SUMO isopeptidases unveils a general p53-independent checkpoint of impaired ribosome biogenesis. Nature Communications. 14(1). 8121–8121. 8 indexed citations
4.
Wirth, Matthias, Konstandina Isaakidis, Susanne Kossatz, et al.. (2023). Actionable loss of SLF2 drives B‐cell lymphomagenesis and impairs the DNA damage response. EMBO Molecular Medicine. 15(9). e16431–e16431. 2 indexed citations
5.
Bamopoulos, Stefanos A., Chuanbing Zang, Alexander T. den Dekker, et al.. (2022). NOXA expression drives synthetic lethality to RUNX1 inhibition in pancreatic cancer. Proceedings of the National Academy of Sciences. 119(9). 22 indexed citations
6.
Schneeweis, Christian, Zonera Hassan, Chiara Falcomatà, et al.. (2022). AP1/Fra1 confers resistance to MAPK cascade inhibition in pancreatic cancer. Cellular and Molecular Life Sciences. 80(1). 12–12. 6 indexed citations
7.
Wirth, Matthias, et al.. (2022). CRISPR Activation/Interference Screen to Identify Genetic Networks in HDAC-Inhibitor-Resistant Cells. Methods in molecular biology. 2589. 429–454. 1 indexed citations
8.
Schneider, Günter, Matthias Wirth, Ulrich Keller, & Dieter Saur. (2021). Rationale for MYC imaging and targeting in pancreatic cancer. EJNMMI Research. 11(1). 104–104. 8 indexed citations
9.
Kiweler, Nicole, Desirée Wünsch, Matthias Wirth, et al.. (2020). Histone deacetylase inhibitors dysregulate DNA repair proteins and antagonize metastasis-associated processes. Journal of Cancer Research and Clinical Oncology. 146(2). 343–356. 39 indexed citations
10.
Kiweler, Nicole, Boris Brill, Matthias Wirth, et al.. (2018). The histone deacetylases HDAC1 and HDAC2 are required for the growth and survival of renal carcinoma cells. Archives of Toxicology. 92(7). 2227–2243. 55 indexed citations
11.
Wirth, Matthias, Patrick Wenzel, Mandy Beyer, et al.. (2016). HDAC1 and HDAC2 integrate the expression of p53 mutants in pancreatic cancer. Oncogene. 36(13). 1804–1815. 87 indexed citations
12.
Schäfer, Claudia, Matthias Wirth, Christian Marx, et al.. (2014). Survivin and YM155: How faithful is the liaison?. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1845(2). 202–220. 113 indexed citations
13.
Wirth, Matthias, Jan G. Christian, Mariel C. Paul, et al.. (2014). MYC and EGR1 synergize to trigger tumor cell death by controlling NOXA and BIM transcription upon treatment with the proteasome inhibitor bortezomib. Nucleic Acids Research. 42(16). 10433–10447. 54 indexed citations
14.
Wirth, Matthias, Andrea Volkamer, Vincent Zoete, et al.. (2013). Protein pocket and ligand shape comparison and its application in virtual screening. Journal of Computer-Aided Molecular Design. 27(6). 511–524. 22 indexed citations
15.
Wirth, Matthias, Roland H. Stauber, Angelika Schnieke, et al.. (2012). MYC directs transcription of MCL1 and eIF4E genes to control sensitivity of gastric cancer cells toward HDAC inhibitors. Cell Cycle. 11(8). 1593–1602. 51 indexed citations
16.
Wirth, Matthias & Wolfgang Sauer. (2011). Bioactive Molecules: Perfectly Shaped for Their Target?. Molecular Informatics. 30(8). 677–688. 18 indexed citations
17.
18.
Gast, Klaus, Dietrich Zirwer, Hilde Damaschun, et al.. (1997). Ribonuclease T1 has different dimensions in the thermally and chemically denatured states: a dynamic light scattering study. FEBS Letters. 403(3). 245–248. 14 indexed citations
19.
Wirth, Matthias, et al.. (1995). Calorimetric Investigation of Thermal Stability and Ligand‐binding Characteristics of Disulfide‐bond‐cleaved Ribonuclease T1. European Journal of Biochemistry. 227(1-2). 516–523. 5 indexed citations
20.
Wirth, Matthias, et al.. (1986). [Tumor markers in urologic neoplasms].. PubMed. 104(35). 647–50. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026