Satyakam Dash

469 total citations
9 papers, 313 citations indexed

About

Satyakam Dash is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Satyakam Dash has authored 9 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Biomedical Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in Satyakam Dash's work include Microbial Metabolic Engineering and Bioproduction (9 papers), Biofuel production and bioconversion (7 papers) and Enzyme Catalysis and Immobilization (6 papers). Satyakam Dash is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (9 papers), Biofuel production and bioconversion (7 papers) and Enzyme Catalysis and Immobilization (6 papers). Satyakam Dash collaborates with scholars based in United States. Satyakam Dash's co-authors include Costas D. Maranas, Chiam Yu Ng, Lin Wang, Saratram Gopalakrishnan, Daniel G. Olson, Lee R. Lynd, Keerthi P. Venkataramanan, Eleftherios T. Papoutsakis, Thomas J. J. Mueller and Daniel Amador‐Noguez and has published in prestigious journals such as Biochemical Society Transactions, Metabolic Engineering and Biotechnology for Biofuels.

In The Last Decade

Satyakam Dash

9 papers receiving 312 citations

Peers

Satyakam Dash

MB

BE

BC

CTM

PHARM

Christian Lieven Denmark

Pritam Kundu India

Chiam Yu Ng United States

Minrui Lu China

Christopher M. Gowen United States

Keng Cher Soh Switzerland

Pierre Salvy Switzerland

Vinh Tran United States

Paulo Vilaça Portugal

Christian Lieven Denmark

Satyakam Dash

358 ×1.2

MB

170 ×1.0

BE

18 ×0.9

BC

7 ×0.4

CTM

13 ×0.9

PHARM

Citations per year, relative to Satyakam Dash Satyakam Dash (= 1×) peers Christian Lieven

Countries citing papers authored by Satyakam Dash

Since Specialization

Citations

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

Fields of papers citing papers by Satyakam Dash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satyakam Dash

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

All Works

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9 of 9 papers shown

1.

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

2.

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

3.

Thompson, R. Adam, et al.. (2020). Development of a Genome-Scale Metabolic Model of Clostridium thermocellum and Its Applications for Integration of Multi-Omics Datasets and Computational Strain Design. Frontiers in Bioengineering and Biotechnology. 8. 772–772. 18 indexed citations

4.

Dash, Satyakam, Daniel G. Olson, Siu Hung Joshua Chan, et al.. (2019). Thermodynamic analysis of the pathway for ethanol production from cellobiose in Clostridium thermocellum. Metabolic Engineering. 55. 161–169. 37 indexed citations

5.

Wang, Lin, Chiam Yu Ng, Satyakam Dash, & Costas D. Maranas. (2018). Exploring the combinatorial space of complete pathways to chemicals. Biochemical Society Transactions. 46(3). 513–522. 11 indexed citations

6.

Dash, Satyakam, Ali Khodayari, Jilai Zhou, et al.. (2017). Development of a core Clostridium thermocellum kinetic metabolic model consistent with multiple genetic perturbations. Biotechnology for Biofuels. 10(1). 108–108. 27 indexed citations

7.

Wang, Lin, Satyakam Dash, Chiam Yu Ng, & Costas D. Maranas. (2017). A review of computational tools for design and reconstruction of metabolic pathways. Synthetic and Systems Biotechnology. 2(4). 243–252. 90 indexed citations

8.

Dash, Satyakam, Chiam Yu Ng, & Costas D. Maranas. (2016). Metabolic modeling of clostridia: current developments and applications. FEMS Microbiology Letters. 363(4). fnw004–fnw004. 40 indexed citations

9.

Dash, Satyakam, Thomas J. J. Mueller, Keerthi P. Venkataramanan, Eleftherios T. Papoutsakis, & Costas D. Maranas. (2014). Capturing the response of Clostridium acetobutylicumto chemical stressors using a regulated genome-scale metabolic model. Biotechnology for Biofuels. 7(1). 144–144. 44 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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