Thomas Schröter

1.1k total citations
24 papers, 952 citations indexed

About

Thomas Schröter is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Thomas Schröter has authored 24 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Organic Chemistry and 5 papers in Cell Biology. Recurrent topics in Thomas Schröter's work include Protein Kinase Regulation and GTPase Signaling (15 papers), Melanoma and MAPK Pathways (10 papers) and Synthesis and biological activity (5 papers). Thomas Schröter is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (15 papers), Melanoma and MAPK Pathways (10 papers) and Synthesis and biological activity (5 papers). Thomas Schröter collaborates with scholars based in United States and Germany. Thomas Schröter's co-authors include Sandra L. Schmid, Philip V. LoGrasso, Ishido Miwako, Yangbo Feng, Michael D. Cameron, Claudia Ruiz, Lin Li, Stephan C. Schürer, Yan Yin and Amiee Weiser and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Journal of Medicinal Chemistry.

In The Last Decade

Thomas Schröter

24 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Schröter United States 17 714 249 133 94 84 24 952
Claudia Ruiz United States 20 616 0.9× 399 1.6× 9 0.1× 36 0.4× 126 1.5× 36 1.0k
Carrie L. Lomelino United States 19 997 1.4× 632 2.5× 23 0.2× 33 0.4× 24 0.3× 33 1.3k
Nigel G. Cooke Switzerland 12 550 0.8× 304 1.2× 25 0.2× 60 0.6× 20 0.2× 17 877
Philippe Nuhant United States 18 251 0.4× 812 3.3× 46 0.3× 15 0.2× 9 0.1× 32 1.4k
Dominique Swinnen Belgium 13 476 0.7× 285 1.1× 14 0.1× 18 0.2× 19 0.2× 18 691
Gyles E. Cozier United Kingdom 18 819 1.1× 78 0.3× 50 0.4× 362 3.9× 92 1.1× 40 1.1k
Dušan Berkeš Slovakia 17 384 0.5× 327 1.3× 15 0.1× 74 0.8× 21 0.3× 56 684
Xihan Wu China 16 781 1.1× 275 1.1× 119 0.9× 20 0.2× 109 1.3× 35 1.1k
James Fossetta United States 15 364 0.5× 176 0.7× 17 0.1× 107 1.1× 31 0.4× 25 935
Samit K. Bhattacharya United States 17 269 0.4× 353 1.4× 12 0.1× 58 0.6× 24 0.3× 29 803

Countries citing papers authored by Thomas Schröter

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Schröter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Schröter

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Schröter. A scholar is included among the top collaborators of Thomas Schröter 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 Schröter. Thomas Schröter 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.
Fischer, Sven, Thomas Schröter, Luis Daniel Cruz‐Zaragoza, et al.. (2016). Pex17p-dependent assembly of Pex14p/Dyn2p-subcomplexes of the peroxisomal protein import machinery. European Journal of Cell Biology. 95(12). 585–597. 12 indexed citations
2.
Chowdhury, Sarwat, Yen‐Ting Chen, X. M. Fang, et al.. (2013). Amino acid derived quinazolines as Rock/PKA inhibitors. Bioorganic & Medicinal Chemistry Letters. 23(6). 1592–1599. 13 indexed citations
3.
Yin, Yan, Lin Li, Claudia Ruiz, et al.. (2013). Synthesis and Biological Evaluation of Urea Derivatives as Highly Potent and Selective Rho Kinase Inhibitors. Journal of Medicinal Chemistry. 56(9). 3568–3581. 34 indexed citations
4.
Fang, X. M., Yen‐Ting Chen, E. Hampton Sessions, et al.. (2011). Synthesis and biological evaluation of 4-quinazolinones as Rho kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(6). 1844–1848. 27 indexed citations
5.
Chowdhury, Sarwat, E. Hampton Sessions, Jennifer Pocas, et al.. (2011). Discovery and optimization of indoles and 7-azaindoles as Rho kinase (ROCK) inhibitors (part-I). Bioorganic & Medicinal Chemistry Letters. 21(23). 7107–7112. 38 indexed citations
6.
Sessions, E. Hampton, Sarwat Chowdhury, Yan Yin, et al.. (2011). Discovery and optimization of indole and 7-azaindoles as Rho kinase (ROCK) inhibitors (Part-II). Bioorganic & Medicinal Chemistry Letters. 21(23). 7113–7118. 19 indexed citations
7.
Sessions, E. Hampton, Michael Smolinski, Bo Wang, et al.. (2010). The development of benzimidazoles as selective rho kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 20(6). 1939–1943. 20 indexed citations
8.
Chen, Yen‐Ting, Tomáš Vojkovský, X. M. Fang, et al.. (2010). Asymmetric synthesis of potent chroman-based Rho kinase (ROCK-II) inhibitors. MedChemComm. 2(1). 73–75. 13 indexed citations
9.
Dorsey, Frank C., et al.. (2009). Chapter 12 Monitoring the Autophagy Pathway in Cancer. Methods in enzymology on CD-ROM/Methods in enzymology. 453. 251–271. 6 indexed citations
10.
Yin, Yan, Lin Li, Claudia Ruiz, et al.. (2009). Benzothiazoles as Rho-associated kinase (ROCK-II) inhibitors. Bioorganic & Medicinal Chemistry Letters. 19(23). 6686–6690. 40 indexed citations
11.
Sessions, E. Hampton, Yan Yin, Thomas D. Bannister, et al.. (2008). Benzimidazole- and benzoxazole-based inhibitors of Rho kinase. Bioorganic & Medicinal Chemistry Letters. 18(24). 6390–6393. 82 indexed citations
12.
Chen, Yen‐Ting, Thomas D. Bannister, Amiee Weiser, et al.. (2008). Chroman-3-amides as potent Rho kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(24). 6406–6409. 45 indexed citations
13.
14.
Schröter, Thomas, et al.. (2008). Detection of myosin light chain phosphorylation—A cell-based assay for screening Rho-kinase inhibitors. Biochemical and Biophysical Research Communications. 374(2). 356–360. 32 indexed citations
15.
Feng, Yangbo, Michael D. Cameron, Lin Li, et al.. (2006). Structure–activity relationships, and drug metabolism and pharmacokinetic properties for indazole piperazine and indazole piperidine inhibitors of ROCK-II. Bioorganic & Medicinal Chemistry Letters. 17(8). 2355–2360. 39 indexed citations
16.
Miwako, Ishido, Thomas Schröter, & Sandra L. Schmid. (2003). Forthcoming papers and review topics. Traffic. 4(5). 355–355. 14 indexed citations
17.
Miwako, Ishido, Thomas Schröter, & Sandra L. Schmid. (2003). Clathrin‐ and Dynamin‐Dependent Coated Vesicle Formation from Isolated Plasma Membranes. Traffic. 4(6). 376–389. 146 indexed citations
18.
Conner, S. D., Thomas Schröter, & Sandra L. Schmid. (2003). AAK1‐Mediated μ2 Phosphorylation is Stimulated by Assembled Clathrin. Traffic. 4(12). 885–890. 58 indexed citations
19.
20.
Schröter, Thomas, et al.. (1998). Mutational analysis of residues forming hydrogen bonds in the Rieske [2Fe‐2S] cluster of the cytochrome bc1 complex in Paracoccus denitrificans. European Journal of Biochemistry. 255(1). 100–106. 87 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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