Matthias R. Bauer

2.2k total citations · 1 hit paper
31 papers, 1.5k citations indexed

About

Matthias R. Bauer is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Matthias R. Bauer has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Oncology and 10 papers in Computational Theory and Mathematics. Recurrent topics in Matthias R. Bauer's work include Computational Drug Discovery Methods (10 papers), Cancer-related Molecular Pathways (9 papers) and Machine Learning in Materials Science (7 papers). Matthias R. Bauer is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Cancer-related Molecular Pathways (9 papers) and Machine Learning in Materials Science (7 papers). Matthias R. Bauer collaborates with scholars based in Germany, United Kingdom and Egypt. Matthias R. Bauer's co-authors include Frank M. Boeckler, Alan R. Fersht, Andreas C. Joerger, Simon Vogel, Mark Mackey, Tamer M. Ibrahim, Richard Storer, Benjamin C. Whitehurst, Jennifer E. Nelson and Iacovos N. Michaelides and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Matthias R. Bauer

31 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Put a ring on it: application of small aliphatic rings in medicinal chemistry

2021 306 citations Matthias R. Bauer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthias R. Bauer Germany	21	809	477	398	367	167	31	1.5k
Thompson N. Doman United States	12	831 1.0×	345 0.7×	501 1.3×	249 0.7×	153 0.9×	24	1.5k
Sangita B. Patel United States	26	1.1k 1.4×	546 1.1×	234 0.6×	341 0.9×	88 0.5×	39	1.7k
Brian Springthorpe United Kingdom	5	879 1.1×	546 1.1×	589 1.5×	188 0.5×	77 0.5×	8	1.8k
Karl‐Heinz Baringhaus Germany	21	800 1.0×	237 0.5×	393 1.0×	464 1.3×	127 0.8×	38	1.6k
Peter W. Kenny United Kingdom	25	801 1.0×	641 1.3×	708 1.8×	133 0.4×	225 1.3×	47	1.7k
Owen B. Wallace United States	16	689 0.9×	403 0.8×	405 1.0×	131 0.4×	91 0.5×	27	1.6k
M. Elizabeth Sobhia India	20	615 0.8×	369 0.8×	298 0.7×	140 0.4×	78 0.5×	94	1.2k
Mario Cardozo United States	18	773 1.0×	552 1.2×	233 0.6×	171 0.5×	46 0.3×	31	1.4k
Peter S. Kutchukian United States	19	1.0k 1.3×	496 1.0×	377 0.9×	127 0.3×	180 1.1×	28	1.6k
Elizabeth A. Lunney United States	25	1.0k 1.3×	583 1.2×	214 0.5×	217 0.6×	82 0.5×	59	1.8k

Countries citing papers authored by Matthias R. Bauer

Since Specialization

Citations

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

Fields of papers citing papers by Matthias R. Bauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias R. Bauer

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

All Works

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20 of 20 papers shown

Moore, J. Harry, Matthias R. Bauer, Jeff J. Guo, et al.. (2022). Icolos: a workflow manager for structure-based post-processing of de novo generated small molecules. Bioinformatics. 38(21). 4951–4952. 5 indexed citations

Guo, Jeff, Jon Paul Janet, Matthias R. Bauer, et al.. (2021). DockStream: a docking wrapper to enhance de novo molecular design. Journal of Cheminformatics. 13(1). 89–89. 39 indexed citations

Bauer, Matthias R., Andreas Krämer, Giovanni Settanni, et al.. (2020). Targeting Cavity-Creating p53 Cancer Mutations with Small-Molecule Stabilizers: the Y220X Paradigm. ACS Chemical Biology. 15(3). 657–668. 49 indexed citations

Ibrahim, Tamer M., et al.. (2020). Supporting SARS-CoV-2 Papain-Like Protease Drug Discovery: In silico Methods and Benchmarking. Frontiers in Chemistry. 8. 592289–592289. 33 indexed citations

Bauer, Matthias R. & Mark Mackey. (2019). Electrostatic Complementarity as a Fast and Effective Tool to Optimize Binding and Selectivity of Protein–Ligand Complexes. Journal of Medicinal Chemistry. 62(6). 3036–3050. 122 indexed citations

Baud, Matthias G. J., Matthias R. Bauer, Lorena Verduci, et al.. (2018). Aminobenzothiazole derivatives stabilize the thermolabile p53 cancer mutant Y220C and show anticancer activity in p53-Y220C cell lines. European Journal of Medicinal Chemistry. 152. 101–114. 64 indexed citations

Synnott, Naoise C., Matthias R. Bauer, Stephen F. Madden, et al.. (2017). Mutant p53 as a therapeutic target for the treatment of triple-negative breast cancer: Preclinical investigation with the anti-p53 drug, PK11007. Cancer Letters. 414. 99–106. 58 indexed citations

Bauer, Matthias R., et al.. (2016). Anin silicoalgorithm for identifying stabilizing pockets in proteins: test case, the Y220C mutant of the p53 tumor suppressor protein. Protein Engineering Design and Selection. 29(9). 377–390. 14 indexed citations

Bauer, Matthias R., Matthias G. J. Baud, Rainer Wilcken, et al.. (2016). Harnessing Fluorine–Sulfur Contacts and Multipolar Interactions for the Design of p53 Mutant Y220C Rescue Drugs. ACS Chemical Biology. 11(8). 2265–2274. 55 indexed citations

10.

Wilcken, Rainer, Markus O. Zimmermann, Matthias R. Bauer, et al.. (2015). Experimental and Theoretical Evaluation of the Ethynyl Moiety as a Halogen Bioisostere. ACS Chemical Biology. 10(12). 2725–2732. 21 indexed citations

11.

Ibrahim, Tamer M., Matthias R. Bauer, & Frank M. Boeckler. (2015). Applying DEKOIS 2.0 in structure-based virtual screening to probe the impact of preparation procedures and score normalization. Journal of Cheminformatics. 7(1). 21–21. 27 indexed citations

12.

Joerger, Andreas C., Matthias R. Bauer, Rainer Wilcken, et al.. (2015). Exploiting Transient Protein States for the Design of Small-Molecule Stabilizers of Mutant p53. Structure. 23(12). 2246–2255. 49 indexed citations

13.

Rupp, Matthias, Matthias R. Bauer, Rainer Wilcken, et al.. (2014). Machine Learning Estimates of Natural Product Conformational Energies. PLoS Computational Biology. 10(1). e1003400–e1003400. 30 indexed citations

14.

Boeckler, Frank M., Matthias R. Bauer, Tamer M. Ibrahim, & Simon Vogel. (2014). Use of DEKOIS 2.0 to gain insights for virtual screening. Journal of Cheminformatics. 6(S1). O24–O24. 10 indexed citations

15.

Rosenbaum, Lars, et al.. (2013). Inferring multi-target QSAR models with taxonomy-based multi-task learning. Journal of Cheminformatics. 5(1). 33–33. 33 indexed citations

16.

Mohamed, Heba A., Rainer Wilcken, Matthias R. Bauer, et al.. (2010). Synthesis and Molecular Modeling of Novel Tetrahydro-β-carboline Derivatives with Phosphodiesterase 5 Inhibitory and Anticancer Properties. Journal of Medicinal Chemistry. 54(2). 495–509. 46 indexed citations

17.

Bauer, Matthias R., Jens C. Eickhoff, Christoph Mundhenke, et al.. (2008). Neutrophil gelatinase-associated lipocalin (NGAL) is a prognostic marker in human primary breast cancer. Geburtshilfe und Frauenheilkunde. 68(S 01). 2 indexed citations

18.

Stachel, Daniel, et al.. (2001). Pamidronate and calcitonin as therapy of acute cancer-related hypercalcemia in children. Klinische Pädiatrie. 213(1). 30–34. 14 indexed citations

19.

Bauer, Matthias R., et al.. (1980). Perfluorchlormethylmercapto-heterocyclen XI ClnF3−nCS-substituierte malonsaeureathylester und pyrazole. Journal of Fluorine Chemistry. 16(2). 129–136. 19 indexed citations

20.

Hahn, Robert G., et al.. (1979). Phase II study of single-agent therapy with megestrol acetate, VP-16-213, cyclophosphamide, and dianhydrogalactitol in advanced renal cell cancer.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 63(3). 513–5. 24 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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