Saratram Gopalakrishnan

756 total citations
17 papers, 547 citations indexed

About

Saratram Gopalakrishnan is a scholar working on Molecular Biology, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Saratram Gopalakrishnan has authored 17 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Biomedical Engineering and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Saratram Gopalakrishnan's work include Microbial Metabolic Engineering and Bioproduction (13 papers), Biofuel production and bioconversion (6 papers) and Gene Regulatory Network Analysis (5 papers). Saratram Gopalakrishnan is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (13 papers), Biofuel production and bioconversion (6 papers) and Gene Regulatory Network Analysis (5 papers). Saratram Gopalakrishnan collaborates with scholars based in United States, United Kingdom and Iran. Saratram Gopalakrishnan's co-authors include Costas D. Maranas, Himadri B. Pakrasi, Thomas K. Wood, James G. Ferry, Hadi Nazem‐Bokaee, Justin Ungerer, Yinjie Tang, Satyakam Dash, John I. Hendry and Charles Foster and has published in prestigious journals such as PLANT PHYSIOLOGY, PLoS Computational Biology and Metabolic Engineering.

In The Last Decade

Saratram Gopalakrishnan

16 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saratram Gopalakrishnan United States 12 445 136 134 85 59 17 547
Dipti D. Nayak United States 11 286 0.6× 56 0.4× 38 0.3× 81 1.0× 60 1.0× 19 423
Yvonne Stockdreher Germany 8 223 0.5× 117 0.9× 61 0.5× 112 1.3× 176 3.0× 8 419
Todd Pihl United States 15 291 0.7× 51 0.4× 108 0.8× 73 0.9× 67 1.1× 21 508
Olga Blifernez-Klassen Germany 13 253 0.6× 99 0.7× 405 3.0× 43 0.5× 67 1.1× 23 560
R.N. Schicho United States 8 210 0.5× 59 0.4× 129 1.0× 60 0.7× 98 1.7× 9 354
Francisco Morais Portugal 6 191 0.4× 45 0.3× 64 0.5× 68 0.8× 72 1.2× 11 327
Е. Н. Красильникова Russia 14 249 0.6× 174 1.3× 47 0.4× 82 1.0× 139 2.4× 38 487
Martina Selig Germany 7 414 0.9× 134 1.0× 55 0.4× 46 0.5× 82 1.4× 9 657
Jiao Zhan China 12 319 0.7× 89 0.7× 535 4.0× 109 1.3× 60 1.0× 25 742
Tami L. McTaggart United States 9 251 0.6× 38 0.3× 33 0.2× 112 1.3× 120 2.0× 11 333

Countries citing papers authored by Saratram Gopalakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Saratram Gopalakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saratram Gopalakrishnan

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

All Works

17 of 17 papers shown
1.
2.
Gopalakrishnan, Saratram, William Johnson, Elçin Içten, et al.. (2024). COSMIC-dFBA: A novel multi-scale hybrid framework for bioprocess modeling. Metabolic Engineering. 82. 183–192. 11 indexed citations
3.
Gopalakrishnan, Saratram, William Johnson, Elçin Içten, et al.. (2024). Multi-omic characterization of antibody-producing CHO cell lines elucidates metabolic reprogramming and nutrient uptake bottlenecks. Metabolic Engineering. 85. 94–104. 7 indexed citations
4.
Foster, Charles, Satyakam Dash, Saratram Gopalakrishnan, et al.. (2022). Assessing the impact of substrate-level enzyme regulations limiting ethanol titer in Clostridium thermocellum using a core kinetic model. Metabolic Engineering. 69. 286–301. 10 indexed citations
5.
Gopalakrishnan, Saratram, Chintan Joshi, Elçin Içten, et al.. (2022). Guidelines for extracting biologically relevant context-specific metabolic models using gene expression data. Metabolic Engineering. 75. 181–191. 15 indexed citations
6.
Hendry, John I., Hoang V. Dinh, Charles Foster, et al.. (2020). Metabolic flux analysis reaching genome wide coverage: lessons learned and future perspectives. Current Opinion in Chemical Engineering. 30. 17–25. 6 indexed citations
7.
Gopalakrishnan, Saratram, Satyakam Dash, & Costas D. Maranas. (2020). K-FIT: An accelerated kinetic parameterization algorithm using steady-state fluxomic data. Metabolic Engineering. 61. 197–205. 36 indexed citations
8.
Foster, Charles, Saratram Gopalakrishnan, Maciek R. Antoniewicz, & Costas D. Maranas. (2019). From Escherichia coli mutant 13C labeling data to a core kinetic model: A kinetic model parameterization pipeline. PLoS Computational Biology. 15(9). e1007319–e1007319. 25 indexed citations
9.
Gopalakrishnan, Saratram, Himadri B. Pakrasi, & Costas D. Maranas. (2018). Elucidation of photoautotrophic carbon flux topology in Synechocystis PCC 6803 using genome-scale carbon mapping models. Metabolic Engineering. 47. 190–199. 42 indexed citations
10.
Hendry, John I., Saratram Gopalakrishnan, Justin Ungerer, et al.. (2018). Genome-Scale Fluxome of Synechococcus elongatus UTEX 2973 Using Transient 13C-Labeling Data. PLANT PHYSIOLOGY. 179(2). 761–769. 45 indexed citations
11.
Abernathy, Mary H., Jingjie Yu, Fangfang Ma, et al.. (2017). Deciphering cyanobacterial phenotypes for fast photoautotrophic growth via isotopically nonstationary metabolic flux analysis. Biotechnology for Biofuels. 10(1). 273–273. 84 indexed citations
12.
Soo, Valerie W. C., Michael J. McAnulty, Arti Tripathi, et al.. (2016). Reversing methanogenesis to capture methane for liquid biofuel precursors. Microbial Cell Factories. 15(1). 11–11. 107 indexed citations
13.
Nazem‐Bokaee, Hadi, Saratram Gopalakrishnan, James G. Ferry, Thomas K. Wood, & Costas D. Maranas. (2016). Assessing methanotrophy and carbon fixation for biofuel production by Methanosarcina acetivorans. Microbial Cell Factories. 15(1). 10–10. 36 indexed citations
14.
Gopalakrishnan, Saratram, et al.. (2015). Redistribution of metabolic fluxes in Chlorella protothecoides by variation of media nitrogen concentration. Metabolic Engineering Communications. 2. 124–131. 18 indexed citations
15.
Gopalakrishnan, Saratram & Costas D. Maranas. (2015). 13C metabolic flux analysis at a genome-scale. Metabolic Engineering. 32. 12–22. 68 indexed citations
16.
Gopalakrishnan, Saratram & Costas D. Maranas. (2015). Achieving Metabolic Flux Analysis for S. cerevisiae at a Genome-Scale: Challenges, Requirements, and Considerations. Metabolites. 5(3). 521–535. 14 indexed citations
17.
Mueller, Thomas J. J., Matthew J. Grisewood, Hadi Nazem‐Bokaee, et al.. (2014). Methane oxidation by anaerobic archaea for conversion to liquid fuels. Journal of Industrial Microbiology & Biotechnology. 42(3). 391–401. 23 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dipti D. Nayak Breakdown of academic impact, for papers by Yvonne Stockdreher Breakdown of academic impact, for papers by Todd Pihl Breakdown of academic impact, for papers by Olga Blifernez-Klassen Breakdown of academic impact, for papers by R.N. Schicho Breakdown of academic impact, for papers by Francisco Morais Breakdown of academic impact, for papers by Е. Н. Красильникова Breakdown of academic impact, for papers by Martina Selig Breakdown of academic impact, for papers by Jiao Zhan Breakdown of academic impact, for papers by Tami L. McTaggart
Rankless by CCL
2026