Suresh Sudarsan

1.3k total citations
18 papers, 531 citations indexed

About

Suresh Sudarsan is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Suresh Sudarsan has authored 18 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Biomedical Engineering and 3 papers in Genetics. Recurrent topics in Suresh Sudarsan's work include Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (6 papers) and Gene Regulatory Network Analysis (5 papers). Suresh Sudarsan is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (6 papers) and Gene Regulatory Network Analysis (5 papers). Suresh Sudarsan collaborates with scholars based in Denmark, Germany and United States. Suresh Sudarsan's co-authors include Irina Borodina, Eko Roy Marella, Guokun Wang, Kanchana Rueksomtawin Kildegaard, Lars M. Blank, Andreas Schmid, Martin Siemann‐Herzberg, Jay D. Keasling, Michael K. Jensen and Hanne Bjerre Christensen and has published in prestigious journals such as Applied and Environmental Microbiology, Metabolic Engineering and Microbial Cell Factories.

In The Last Decade

Suresh Sudarsan

16 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suresh Sudarsan Denmark 11 448 150 87 47 38 18 531
Jens Plassmeier Germany 14 441 1.0× 178 1.2× 33 0.4× 75 1.6× 44 1.2× 16 541
Jean-Paul Meijnen Netherlands 8 518 1.2× 213 1.4× 74 0.9× 34 0.7× 49 1.3× 9 575
Kuk-Ki Hong Sweden 7 581 1.3× 274 1.8× 56 0.6× 36 0.8× 22 0.6× 7 641
Young‐Chul Joo South Korea 13 387 0.9× 130 0.9× 58 0.7× 13 0.3× 24 0.6× 13 536
Fernando Pérez‐García Germany 15 678 1.5× 255 1.7× 48 0.6× 57 1.2× 47 1.2× 23 769
Xianzhong Chen China 14 391 0.9× 144 1.0× 109 1.3× 32 0.7× 12 0.3× 37 500
Lynn Wong United States 9 665 1.5× 220 1.5× 65 0.7× 66 1.4× 30 0.8× 9 744
Siavash Partow Sweden 8 805 1.8× 187 1.2× 164 1.9× 29 0.6× 18 0.5× 9 875
Zia Fatma United States 14 542 1.2× 253 1.7× 35 0.4× 46 1.0× 73 1.9× 20 644
Zaigao Tan China 15 854 1.9× 293 2.0× 70 0.8× 152 3.2× 23 0.6× 27 982

Countries citing papers authored by Suresh Sudarsan

Since Specialization
Citations

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

Fields of papers citing papers by Suresh Sudarsan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suresh Sudarsan

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

All Works

18 of 18 papers shown
1.
Sudarsan, Suresh, et al.. (2025). Sustainable microbial cellulose production using ocean water. 2(7). 100427–100427. 1 indexed citations
2.
Sudarsan, Suresh, Emre Özdemir, Achraf Ammar, et al.. (2025). Acetol biosynthesis enables NADPH balance during nitrogen limitation in engineered Escherichia coli. Microbial Cell Factories. 24(1). 65–65.
3.
Beulig, Felix, Poul Erik Jensen, Se Hoon Kim, et al.. (2025). Trade-off between resistance and persistence in high cell density cultures. mSystems. 10(7). e0032325–e0032325.
4.
Yang, Lei, et al.. (2024). Repeated glucose oscillations in high cell–density cultures influence stress–related functions of Escherichia coli. PNAS Nexus. 3(9). pgae376–pgae376. 2 indexed citations
5.
Sudarsan, Suresh, et al.. (2024). Combined oxygen and glucose oscillations distinctly change the transcriptional and physiological state of Escherichia coli. Microbial Biotechnology. 17(11). e70051–e70051. 1 indexed citations
6.
Sin, Gürkan, et al.. (2023). Dynamic Interplay between O2 Availability, Growth Rates, and the Transcriptome of Yarrowia lipolytica. Fermentation. 9(1). 74–74. 2 indexed citations
7.
Radi, Mohammad, J. Enrique Salcedo-Sora, Se Hyeuk Kim, et al.. (2022). Membrane transporter identification and modulation via adaptive laboratory evolution. Metabolic Engineering. 72. 376–390. 24 indexed citations
8.
D’Ambrosio, Vasil, Marcel van den Broek, Suresh Sudarsan, et al.. (2020). Regulatory control circuits for stabilizing long-term anabolic product formation in yeast. Metabolic Engineering. 61. 369–380. 24 indexed citations
9.
Wang, Guokun, et al.. (2020). Engineering the oleaginous yeast Yarrowia lipolytica for high-level resveratrol production. Metabolic Engineering. 62. 51–61. 102 indexed citations
10.
Babaei, Mahsa, Kanchana Rueksomtawin Kildegaard, Aligholi Niaei, et al.. (2019). Engineering Oleaginous Yeast as the Host for Fermentative Succinic Acid Production From Glucose. Frontiers in Bioengineering and Biotechnology. 7. 361–361. 36 indexed citations
11.
Sudarsan, Suresh, et al.. (2019). Microfluidic Irreversible Electroporation—A Versatile Tool to Extract Intracellular Contents of Bacteria and Yeast. Metabolites. 9(10). 211–211. 12 indexed citations
12.
Marella, Eko Roy, Jonathan Dahlin, Hanne Bjerre Christensen, et al.. (2019). A single-host fermentation process for the production of flavor lactones from non-hydroxylated fatty acids. Metabolic Engineering. 61. 427–436. 66 indexed citations
13.
Kildegaard, Kanchana Rueksomtawin, et al.. (2019). Enhancement of Astaxanthin Biosynthesis in Oleaginous Yeast Yarrowia lipolytica via Microalgal Pathway. Microorganisms. 7(10). 472–472. 76 indexed citations
14.
Snoek, Tim, Jie Zhang, M. Skjoedt, et al.. (2018). An Orthogonal and pH-Tunable Sensor-Selector for Muconic Acid Biosynthesis in Yeast. ACS Synthetic Biology. 7(4). 995–1003. 54 indexed citations
15.
Chan, Siu Hung Joshua, et al.. (2016). Elucidation of the regulatory role of the fructose operon reveals a novel target for enhancing the NADPH supply in Corynebacterium glutamicum. Metabolic Engineering. 38. 344–357. 17 indexed citations
16.
Sudarsan, Suresh, Lars M. Blank, Alexander Dietrich, et al.. (2016). Dynamics of benzoate metabolism in Pseudomonas putida KT2440. Metabolic Engineering Communications. 3. 97–110. 34 indexed citations
17.
Balakumaran, Palanisamy Athiyaman, Martín Zimmermann, Andreas Schmitz, et al.. (2016). The trade-off of availability and growth inhibition through copper for the production of copper-dependent enzymes by Pichia pastoris. BMC Biotechnology. 16(1). 20–20. 6 indexed citations
18.
Sudarsan, Suresh, et al.. (2014). The Functional Structure of Central Carbon Metabolism in Pseudomonas putida KT2440. Applied and Environmental Microbiology. 80(17). 5292–5303. 74 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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