Mark R. Marten

8.9k total citations
57 papers, 1.8k citations indexed

About

Mark R. Marten is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Mark R. Marten has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 17 papers in Biomedical Engineering and 11 papers in Pharmacology. Recurrent topics in Mark R. Marten's work include Fungal and yeast genetics research (19 papers), Advanced Proteomics Techniques and Applications (9 papers) and Microbial Metabolic Engineering and Bioproduction (9 papers). Mark R. Marten is often cited by papers focused on Fungal and yeast genetics research (19 papers), Advanced Proteomics Techniques and Applications (9 papers) and Microbial Metabolic Engineering and Bioproduction (9 papers). Mark R. Marten collaborates with scholars based in United States, Denmark and United Kingdom. Mark R. Marten's co-authors include M. P. Nandakumar, Yonghyun Kim, Babu Raman, Kevin S. Wenger, Jordan Pollack, Zheng Jian Li, Liming Zhao, David Schaefer, Julia Ross and Vivek Kumar Shukla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Mark R. Marten

54 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
Mark R. Marten United States 27 1.1k 454 418 210 194 57 1.8k
Curt R. Fischer United States 23 2.1k 1.9× 497 1.1× 404 1.0× 195 0.9× 85 0.4× 41 2.9k
Fenglou Mao United States 10 1.3k 1.1× 312 0.7× 511 1.2× 114 0.5× 200 1.0× 21 2.1k
Maurice Scheer Germany 14 2.6k 2.3× 258 0.6× 225 0.5× 91 0.4× 68 0.4× 15 3.3k
Pieter W. Postma Netherlands 26 2.0k 1.8× 330 0.7× 216 0.5× 117 0.6× 67 0.3× 49 2.9k
Andreas Grote Germany 13 2.5k 2.2× 253 0.6× 198 0.5× 94 0.4× 65 0.3× 16 3.1k
Venkat Gopalan United States 28 1.8k 1.6× 283 0.6× 226 0.5× 57 0.3× 97 0.5× 117 2.5k
Stéphane Aymerich France 40 2.8k 2.4× 326 0.7× 591 1.4× 99 0.5× 82 0.4× 71 3.8k
Karin Martin Germany 26 1.9k 1.7× 592 1.3× 657 1.6× 727 3.5× 298 1.5× 79 3.3k
Jon Marles‐Wright United Kingdom 26 1.3k 1.2× 219 0.5× 241 0.6× 70 0.3× 113 0.6× 58 2.2k
Daniel López Germany 28 2.6k 2.3× 232 0.5× 416 1.0× 204 1.0× 283 1.5× 48 3.8k

Countries citing papers authored by Mark R. Marten

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Marten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark R. Marten

This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Marten. A scholar is included among the top collaborators of Mark R. Marten 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 Mark R. Marten. Mark R. Marten 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.
Edwards, Harley, et al.. (2024). Incremental Inverse Design of Desired Soybean Phenotypes. ACS Omega. 9(40). 41208–41216.
2.
3.
Doan, Alexander, Stephen Lincoln, Bao Tran, et al.. (2020). Dynamic Transcriptomic and Phosphoproteomic Analysis During Cell Wall Stress in Aspergillus nidulans. Molecular & Cellular Proteomics. 19(8). 1310–1329. 7 indexed citations
4.
Glaros, Trevor, Elizabeth S. Dhummakupt, Ethan M. McBride, et al.. (2020). Discovery of treatment for nerve agents targeting a new metabolic pathway. Archives of Toxicology. 94(9). 3249–3264. 7 indexed citations
5.
Ribeiro, Liliane Fraga Costa, Jyothi Kumar, Stephen Lincoln, et al.. (2019). Phosphoproteomic and transcriptomic analyses reveal multiple functions for Aspergillus nidulans MpkA independent of cell wall stress. Fungal Genetics and Biology. 125. 1–12. 9 indexed citations
6.
Ribeiro, Liliane Fraga Costa, Jyothi Kumar, Lucas F. Ribeiro, et al.. (2019). Comprehensive Analysis of Aspergillus nidulans PKA Phosphorylome Identifies a Novel Mode of CreA Regulation. mBio. 10(2). 39 indexed citations
7.
Ribeiro, Liliane Fraga Costa, Yan Wang, Michelle Momany, et al.. (2018). Altered secretion patterns and cell wall organization caused by loss of PodB function in the filamentous fungus Aspergillus nidulans. Scientific Reports. 8(1). 11433–11433. 6 indexed citations
8.
Ribeiro, Liliane Fraga Costa, et al.. (2017). Insights regarding fungal phosphoproteomic analysis. Fungal Genetics and Biology. 104. 38–44. 7 indexed citations
9.
Ross, Nathalie & Mark R. Marten. (2015). Proteome Analyses of Staphylococcus aureus Biofilm at Elevated Levels of NaCl. Clinical Microbiology Open Access. 4(5). 12 indexed citations
10.
Islam, Nazrul, Yonghyun Kim, Julia Ross, & Mark R. Marten. (2014). Proteomic analysis of Staphylococcus aureus biofilm cells grown under physiologically relevant fluid shear stress conditions. Proteome Science. 12(1). 21–21. 35 indexed citations
11.
Li, Shuwei, et al.. (2013). Cost-effective isobaric tagging for quantitative phosphoproteomics using DiART reagents. Molecular BioSystems. 9(12). 2981–2987. 10 indexed citations
12.
Kim, Yonghyun, et al.. (2011). Autophagy induced by rapamycin and carbon‐starvation have distinct proteome profiles in Aspergillus nidulans. Biotechnology and Bioengineering. 108(11). 2705–2715. 26 indexed citations
13.
Kim, Yonghyun, M. P. Nandakumar, & Mark R. Marten. (2008). The state of proteome profiling in the fungal genus Aspergillus. Briefings in Functional Genomics and Proteomics. 7(2). 87–94. 28 indexed citations
14.
Raman, Babu, M. P. Nandakumar, Vignesh Muthuvijayan, & Mark R. Marten. (2005). Proteome analysis to assess physiological changes in Escherichia coli grown under glucose‐limited fed‐batch conditions. Biotechnology and Bioengineering. 92(3). 384–392. 26 indexed citations
15.
Kostov, Yordan, et al.. (2005). Confocal Optical System: A Novel Noninvasive Sensor To Study Mixing. Biotechnology Progress. 21(5). 1531–1536. 5 indexed citations
16.
Zhao, Liming, et al.. (2005). Elastic Properties of the Cell Wall of Aspergillus nidulans Studied with Atomic Force Microscopy. Biotechnology Progress. 21(1). 292–299. 90 indexed citations
17.
Eggleton, Charles D., et al.. (2003). Using Computational Fluid Dynamics Software to Estimate Circulation Time Distributions in Bioreactors. Biotechnology Progress. 19(5). 1480–1486. 28 indexed citations
18.
Nandakumar, M. P. & Mark R. Marten. (2002). Comparison of lysis methods and preparation protocols for one- and two-dimensional electrophoresis of Aspergillus oryzae intracellular proteins. Electrophoresis. 23(14). 2216–2216. 50 indexed citations
19.
Li, Zheng Jian, et al.. (2002). Estimation of hyphal tensile strength in production‐scale Aspergillus oryzae fungal fermentations. Biotechnology and Bioengineering. 77(6). 601–613. 41 indexed citations
20.
Marten, Mark R., et al.. (1995). Effects of temperature and cycloheximide on secretion of cloned invertase from recombinant Saccharomyces cerevisiae. Biotechnology and Bioengineering. 46(6). 627–630. 6 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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