Markos Koutmos

2.3k total citations
57 papers, 1.7k citations indexed

About

Markos Koutmos is a scholar working on Molecular Biology, Rheumatology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Markos Koutmos has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 26 papers in Rheumatology and 11 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Markos Koutmos's work include Folate and B Vitamins Research (26 papers), Porphyrin Metabolism and Disorders (21 papers) and RNA modifications and cancer (18 papers). Markos Koutmos is often cited by papers focused on Folate and B Vitamins Research (26 papers), Porphyrin Metabolism and Disorders (21 papers) and RNA modifications and cancer (18 papers). Markos Koutmos collaborates with scholars based in United States, Austria and Czechia. Markos Koutmos's co-authors include Ruma Banerjee, Rowena G. Matthews, Supratim Datta, D. Coucouvanis, Janet L. Smith, Carol A. Fierke, Kazuhiro Yamada, Konstantinos D. Demadis, S.D. Katarachia and Taurai Chiku and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Markos Koutmos

57 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markos Koutmos United States 23 1.0k 507 251 231 227 57 1.7k
Nicola E. Brasch United States 23 917 0.9× 744 1.5× 66 0.3× 254 1.1× 268 1.2× 68 1.6k
Katrina Peariso United States 20 587 0.6× 160 0.3× 49 0.2× 187 0.8× 162 0.7× 35 1.5k
David A. Grahame United States 25 1.1k 1.0× 162 0.3× 75 0.3× 266 1.2× 288 1.3× 37 1.7k
Harry P. C. Hogenkamp United States 29 1.6k 1.5× 758 1.5× 67 0.3× 315 1.4× 355 1.6× 82 2.2k
J. Koch Germany 27 1.3k 1.3× 46 0.1× 87 0.3× 236 1.0× 225 1.0× 110 2.4k
Song Xiang China 26 1.5k 1.4× 34 0.1× 124 0.5× 272 1.2× 636 2.8× 58 2.7k
Tetsuo Toraya Japan 36 3.8k 3.7× 2.3k 4.5× 141 0.6× 382 1.7× 607 2.7× 156 4.3k
Michael K. Johnson United States 26 1.1k 1.1× 90 0.2× 90 0.4× 628 2.7× 490 2.2× 45 2.8k
Gudrun S. Lukat-Rodgers United States 27 881 0.8× 48 0.1× 63 0.3× 492 2.1× 283 1.2× 54 2.0k
Wolfgang Grabarse Germany 10 612 0.6× 36 0.1× 77 0.3× 234 1.0× 214 0.9× 12 1.1k

Countries citing papers authored by Markos Koutmos

Since Specialization
Citations

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

Fields of papers citing papers by Markos Koutmos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markos Koutmos

This figure shows the co-authorship network connecting the top 25 collaborators of Markos Koutmos. A scholar is included among the top collaborators of Markos Koutmos 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 Markos Koutmos. Markos Koutmos 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.
Snyder, Laura R., et al.. (2024). Adenosine modifications impede SARS-CoV-2 RNA-dependent RNA transcription. RNA. 30(9). 1141–1150. 1 indexed citations
2.
Yamada, Kazuhiro, et al.. (2023). Structure of full-length cobalamin-dependent methionine synthase and cofactor loading captured in crystallo. Nature Communications. 14(1). 6365–6365. 7 indexed citations
3.
DeAngelo, Stephen L., Balázs Győrffy, Markos Koutmos, & Yatrik M. Shah. (2023). Selenoproteins and tRNA-Sec: regulators of cancer redox homeostasis. Trends in cancer. 9(12). 1006–1018. 22 indexed citations
4.
Fierke, Carol A., et al.. (2022). Gambogic acid and juglone inhibit RNase P through distinct mechanisms. Journal of Biological Chemistry. 298(12). 102683–102683. 7 indexed citations
5.
Ruetz, Markus, et al.. (2021). Patient mutations in human ATP:cob(I)alamin adenosyltransferase differentially affect its catalytic versus chaperone functions. Journal of Biological Chemistry. 297(6). 101373–101373. 4 indexed citations
7.
Ruetz, Markus, Gregory C. Campanello, Hongying Shen, et al.. (2019). Itaconyl-CoA forms a stable biradical in methylmalonyl-CoA mutase and derails its activity and repair. Science. 366(6465). 589–593. 77 indexed citations
8.
Yamada, Kazuhiro & Markos Koutmos. (2018). The folate-binding module ofThermus thermophiluscobalamin-dependent methionine synthase displays a distinct variation of the classical TIM barrel: a TIM barrel with a `twist'. Acta Crystallographica Section D Structural Biology. 74(1). 41–51. 2 indexed citations
9.
Henley, Matthew J., et al.. (2017). Molecular recognition of pre-tRNA by Arabidopsis protein-only Ribonuclease P. RNA. 23(12). 1860–1873. 15 indexed citations
10.
Li, Zhu, Markus Ruetz, Kazuhiro Yamada, et al.. (2017). Coordination chemistry controls the thiol oxidase activity of the B12-trafficking protein CblC. Journal of Biological Chemistry. 292(23). 9733–9744. 18 indexed citations
11.
Howard, Michael J., et al.. (2016). Differential substrate recognition by isozymes of plant protein-only Ribonuclease P. RNA. 22(5). 782–792. 24 indexed citations
12.
13.
Howard, Michael J., et al.. (2013). RNase P enzymes. RNA Biology. 10(6). 909–914. 27 indexed citations
14.
Koutmos, Markos, et al.. (2013). Autoinhibition and Signaling by the Switch II Motif in the G-protein Chaperone of a Radical B12 Enzyme. Journal of Biological Chemistry. 288(43). 30980–30989. 16 indexed citations
15.
Yadav, Pramod Kumar, Kazuhiro Yamada, Taurai Chiku, Markos Koutmos, & Ruma Banerjee. (2013). Structure and Kinetic Analysis of H2S Production by Human Mercaptopyruvate Sulfurtransferase. Journal of Biological Chemistry. 288(27). 20002–20013. 196 indexed citations
16.
Howard, Michael J., et al.. (2012). Mitochondrial ribonuclease P structure provides insight into the evolution of catalytic strategies for precursor-tRNA 5′ processing. Proceedings of the National Academy of Sciences. 109(40). 16149–16154. 94 indexed citations
17.
Koutmos, Markos, Ömer Kabil, Janet L. Smith, & Ruma Banerjee. (2010). Structural basis for substrate activation and regulation by cystathionine beta-synthase (CBS) domains in cystathionine β-synthase. Proceedings of the National Academy of Sciences. 107(49). 20958–20963. 90 indexed citations
18.
Szegedi, S. S., Carmen Castro, Markos Koutmos, & Timothy A. Garrow. (2008). Betaine-Homocysteine S-Methyltransferase-2 Is an S-Methylmethionine-Homocysteine Methyltransferase. Journal of Biological Chemistry. 283(14). 8939–8945. 66 indexed citations
20.
Koutmos, Markos & D. Coucouvanis. (2005). Metal Clusters as Ligands: Substitution of Fe ions in Fe/Mo/S Clusters by Thiophilic CuI Ions To Give Clusters with [Cu4Mo2Fe2S8]4+ and [Cu5Mo3Fe4S11]6+ Cores. Angewandte Chemie International Edition. 44(13). 1971–1974. 15 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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