Thomas Fuchß

1.2k total citations
29 papers, 614 citations indexed

About

Thomas Fuchß is a scholar working on Molecular Biology, Organic Chemistry and Biochemistry. According to data from OpenAlex, Thomas Fuchß has authored 29 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Organic Chemistry and 4 papers in Biochemistry. Recurrent topics in Thomas Fuchß's work include DNA Repair Mechanisms (9 papers), Cancer therapeutics and mechanisms (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Thomas Fuchß is often cited by papers focused on DNA Repair Mechanisms (9 papers), Cancer therapeutics and mechanisms (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Thomas Fuchß collaborates with scholars based in Germany, Austria and United States. Thomas Fuchß's co-authors include Richard R. Schmidt, Wolfgang Scholz, Teresa F. Ackermann, Florian Läng, Norbert Beier, Andree Blaukat, Astrid Zimmermann, Frank T. Zenke, Ulrich Pehl and Heike Dahmen and has published in prestigious journals such as Angewandte Chemie International Edition, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Thomas Fuchß

28 papers receiving 604 citations

Peers

Thomas Fuchß
Kurt G. Pike United Kingdom
Shinmee Mah South Korea
Hadas Reuveni Israel
Barbara Ulmasov United States
Christine R. Hoffman United States
Frankis Almaguel United States
Erik Harris United States
Bastiano Sanna Italy
Takayuki Okuno Japan
Zelin Sheng United States
Kurt G. Pike United Kingdom
Thomas Fuchß
Citations per year, relative to Thomas Fuchß Thomas Fuchß (= 1×) peers Kurt G. Pike

Countries citing papers authored by Thomas Fuchß

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Fuchß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Fuchß

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Fuchß. A scholar is included among the top collaborators of Thomas Fuchß 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 Thomas Fuchß. Thomas Fuchß 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.
Williams, Jason D., David Cantillo, Thomas Fuchß, et al.. (2024). An Automated Electrochemical Flow Platform to Accelerate Library Synthesis and Reaction Optimization. Angewandte Chemie. 136(51). 1 indexed citations
2.
Williams, Jason D., David Cantillo, Thomas Fuchß, et al.. (2024). An Automated Electrochemical Flow Platform to Accelerate Library Synthesis and Reaction Optimization. Angewandte Chemie International Edition. 63(51). e202412045–e202412045. 12 indexed citations
3.
Williams, Jason D., et al.. (2023). Development of an open-source flow-through cyclic voltammetry cell for real-time inline reaction analytics. Reaction Chemistry & Engineering. 9(1). 26–30. 2 indexed citations
4.
Eggenweiler, Hans‐Michael, et al.. (2023). A low-volume flow electrochemical microreactor for rapid and automated process optimization. Reaction Chemistry & Engineering. 9(1). 31–36. 6 indexed citations
5.
Zimmermann, Astrid, Frank T. Zenke, Li-Ya Chiu, et al.. (2022). A New Class of Selective ATM Inhibitors as Combination Partners of DNA Double-Strand Break Inducing Cancer Therapies. Molecular Cancer Therapeutics. 21(6). 859–870. 32 indexed citations
6.
Lammens, Katja, J.D. Bartho, Ulrich Grädler, et al.. (2021). Molecular basis of human ATM kinase inhibition. Nature Structural & Molecular Biology. 28(10). 789–798. 41 indexed citations
7.
Klein, Markus, Michael Busch, Manja Friese‐Hamim, et al.. (2021). Structure-Based Optimization and Discovery of M3258, a Specific Inhibitor of the Immunoproteasome Subunit LMP7 (β5i). Journal of Medicinal Chemistry. 64(14). 10230–10245. 27 indexed citations
8.
Saal, Christoph, et al.. (2021). Atropisomerism – A Neglected Way to Escape Out of Solubility Flatlands. Journal of Pharmaceutical Sciences. 111(1). 206–213. 10 indexed citations
9.
Zenke, Frank T., Astrid Zimmermann, Christian Sirrenberg, et al.. (2020). Pharmacologic Inhibitor of DNA-PK, M3814, Potentiates Radiotherapy and Regresses Human Tumors in Mouse Models. Molecular Cancer Therapeutics. 19(5). 1091–1101. 118 indexed citations
10.
Dao, Vu Thao-Vi, Mahmoud H. Elbatreek, Thomas Fuchß, et al.. (2020). Nitric Oxide Synthase Inhibitors into the Clinic at Last. Handbook of experimental pharmacology. 264. 169–204. 17 indexed citations
11.
12.
Zimmermann, Astrid, Frank T. Zenke, Heike Dahmen, et al.. (2018). Abstract 338: A new investigational ATM Inhibitor, M3541, synergistically potentiates fractionated radiotherapy and chemotherapy in cancer cells and animal models. Cancer Research. 78(13_Supplement). 338–338. 10 indexed citations
13.
Zenke, Frank T., Astrid Zimmermann, Christian Sirrenberg, et al.. (2016). Abstract 1658: M3814, a novel investigational DNA-PK inhibitor: enhancing the effect of fractionated radiotherapy leading to complete regression of tumors in mice. Cancer Research. 76(14_Supplement). 1658–1658. 18 indexed citations
14.
Towhid, Syeda Tasneem, Guilai Liu, Teresa F. Ackermann, et al.. (2013). Inhibition of Colonic Tumor Growth by the Selective SGK Inhibitor EMD638683. Cellular Physiology and Biochemistry. 32(4). 838–848. 57 indexed citations
15.
Ackermann, Teresa F., Krishna M. Boini, Norbert Beier, et al.. (2011). EMD638683, a Novel SGK Inhibitor with Antihypertensive Potency. Cellular Physiology and Biochemistry. 28(1). 137–146. 104 indexed citations
16.
Grädler, Ulrich, Thomas Fuchß, Wolf‐Rüdiger Ulrich, et al.. (2011). Novel nanomolar imidazo[4,5-b]pyridines as selective nitric oxide synthase (iNOS) inhibitors: SAR and structural insights. Bioorganic & Medicinal Chemistry Letters. 21(14). 4228–4232. 30 indexed citations
17.
Heßlinger, Christian, Andreas Strub, Martin D. Lehner, et al.. (2006). Potent and highly selective inhibition of the inducible nitric oxide synthase by BYK191023. 2006(Spring). 1 indexed citations
18.
Strub, Andreas, Wolf‐Rüdiger Ulrich, Christian Heßlinger, et al.. (2005). The Novel Imidazopyridine 2-[2-(4-Methoxy-pyridin-2-yl)-ethyl]-3H-imidazo[4,5-b]pyridine (BYK191023) Is a Highly Selective Inhibitor of the Inducible Nitric-Oxide Synthase. Molecular Pharmacology. 69(1). 328–337. 32 indexed citations
19.
Fuchß, Thomas & Richard R. Schmidt. (1998). ChemInform Abstract: Synthesis of the C‐Analogue of 2‐Acetylamino‐2‐deoxy‐β‐D‐glucopyranosyl L‐ and D‐Serine.. ChemInform. 29(35). 3 indexed citations
20.
Fuchß, Thomas & Richard R. Schmidt. (1998). Synthesis of the C-Analog of 2-Acetylamino-2-deoxy-β-d-glucopyranosyl l- and d-Serine. Synthesis. 1998(5). 753–758. 34 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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