Eric Charles Peterson

1.8k total citations
38 papers, 1.2k citations indexed

About

Eric Charles Peterson is a scholar working on Molecular Biology, Pharmacology and Biomedical Engineering. According to data from OpenAlex, Eric Charles Peterson has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Pharmacology and 7 papers in Biomedical Engineering. Recurrent topics in Eric Charles Peterson's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Enzyme Catalysis and Immobilization (7 papers) and Biofuel production and bioconversion (6 papers). Eric Charles Peterson is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Enzyme Catalysis and Immobilization (7 papers) and Biofuel production and bioconversion (6 papers). Eric Charles Peterson collaborates with scholars based in Canada, United States and Singapore. Eric Charles Peterson's co-authors include Ralph Henry, Misty Moore, Xiao‐kui Ma, Wayne A. Marasco, Quan Zhu, Andrew J. Daugulis, Aimée St. Clair Tallarico, Yuval Avnir, Ning Ding and Norman E. Hoffman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Eric Charles Peterson

37 papers receiving 1.2k citations

Peers

Eric Charles Peterson
Christopher L. Joannou United Kingdom
Xue Zhang China
Ran Zhang China
Giel Hendriks Netherlands
Lu Zhou China
Jia Lu China
Christopher L. Joannou United Kingdom
Eric Charles Peterson
Citations per year, relative to Eric Charles Peterson Eric Charles Peterson (= 1×) peers Christopher L. Joannou

Countries citing papers authored by Eric Charles Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Eric Charles Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Charles Peterson. 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 Eric Charles Peterson. The network helps show where Eric Charles Peterson may publish in the future.

Co-authorship network of co-authors of Eric Charles Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Charles Peterson. A scholar is included among the top collaborators of Eric Charles Peterson 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 Eric Charles Peterson. Eric Charles Peterson 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.
Weingarten, Melanie, et al.. (2025). Short-Chain Fatty Acid Utilization in Cyberlindnera jadinii for Single-Cell Protein and Odd-Chain Fatty Acid Production. Microorganisms. 13(7). 1558–1558. 2 indexed citations
2.
Peterson, Eric Charles, et al.. (2025). Two-Stage Bioconversion of Cellulose to Single-Cell Protein and Oil via a Cellulolytic Consortium. Fermentation. 11(2). 72–72. 1 indexed citations
3.
Toi, M., et al.. (2024). Sustainable production of lipids from cocoa fatty acid distillate fermentation driven by adaptive evolution in Yarrowia lipolytica. Bioresource Technology. 394. 130302–130302. 10 indexed citations
4.
Weingarten, Melanie, et al.. (2024). Microbiome Evolution of Brewer’s Spent Grain and Spent Coffee Ground Solid Sidestreams Under Industrial Storage Conditions. Applied Sciences. 14(21). 9759–9759. 1 indexed citations
5.
Silva, Michael A. & Eric Charles Peterson. (2024). Cerebral angiography in outpatient endovascular centers: roadmap and lessons learned from interventional radiology, cardiology, and vascular surgery. Journal of NeuroInterventional Surgery. 17(5). 553–558. 1 indexed citations
6.
Basri, Nurhidayah, et al.. (2023). Co-culture of Kluyveromyces marxianus and Meyerozyma guilliermondii with In Situ Product Recovery of 2-Phenylethanol. Journal of Agricultural and Food Chemistry. 71(23). 8991–8997. 8 indexed citations
7.
Peterson, Eric Charles, et al.. (2023). Single cell protein and oil production from solid cocoa fatty acid distillates co-fed ethanol. Bioresource Technology. 387. 129630–129630. 9 indexed citations
8.
Basri, Nurhidayah, et al.. (2023). Aromatic Yeasts: Interactions and Implications in Coffee Fermentation Aroma Profiles. Journal of Agricultural and Food Chemistry. 71(25). 9677–9686. 5 indexed citations
9.
Li, Wei, Chuan Chen, Aleksandra Drelich, et al.. (2020). Rapid identification of a human antibody with high prophylactic and therapeutic efficacy in three animal models of SARS-CoV-2 infection. Proceedings of the National Academy of Sciences. 117(47). 29832–29838. 52 indexed citations
10.
Ma, Xiao‐kui, Eric Charles Peterson, Peng Zheng, et al.. (2019). A newly characterized exopolysaccharide from Sanghuangporus sanghuang. The Journal of Microbiology. 57(9). 812–820. 31 indexed citations
11.
12.
Avnir, Yuval, Corey T. Watson, Jacob Glanville, et al.. (2016). IGHV1-69 polymorphism modulates anti-influenza antibody repertoires, correlates with IGHV utilization shifts and varies by ethnicity. Scientific Reports. 6(1). 20842–20842. 122 indexed citations
13.
Chang, De-Kuan, Yuval Avnir, Jianhua Sui, et al.. (2016). Humanized mouse G6 anti-idiotypic monoclonal antibody has therapeutic potential againstIGHV1-69germline gene-based B-CLL. mAbs. 8(4). 787–798. 7 indexed citations
14.
Ma, Xiao‐kui, et al.. (2015). The influence of naphthaleneacetic acid (NAA) and coumarin on flavonoid production by fungus Phellinus sp.: modeling of production kinetic profiles. Applied Microbiology and Biotechnology. 99(22). 9417–9426. 11 indexed citations
15.
Chang, De-Kuan, Eric Charles Peterson, Jiusong Sun, et al.. (2015). Anti-CCR4 monoclonal antibody enhances antitumor immunity by modulating tumor-infiltrating Tregs in an ovarian cancer xenograft humanized mouse model. OncoImmunology. 5(3). e1090075–e1090075. 57 indexed citations
16.
Ma, Xiao‐kui, Hong Zhang, Eric Charles Peterson, & Ling Chen. (2014). Enhancing exopolysaccharide antioxidant formation and yield from Phellinus species through medium optimization studies. Carbohydrate Polymers. 107. 214–220. 18 indexed citations
17.
Peterson, Eric Charles & Andrew J. Daugulis. (2014). The use of high pressure CO2‐facilitated pH swings to enhance in situ product recovery of butyric acid in a two‐phase partitioning bioreactor. Biotechnology and Bioengineering. 111(11). 2183–2191. 7 indexed citations
18.
Jost, Stéphanie, Eric Charles Peterson, Danielle N. Poole, et al.. (2011). Expansion of 2B4+ natural killer (NK) cells and decrease in NKp46+ NK cells in response to influenza. Immunology. 132(4). 516–526. 32 indexed citations
19.
Kight, Alicia, Robyn L. Goforth, Misty Moore, et al.. (2002). ATP Stimulates Signal Recognition Particle (SRP)/FtsY-supported Protein Integration in Chloroplasts. Journal of Biological Chemistry. 277(35). 32400–32404. 29 indexed citations
20.
Peterson, Eric Charles, et al.. (2000). The L18 Domain of Light-harvesting Chlorophyll Proteins Binds to Chloroplast Signal Recognition Particle 43. Journal of Biological Chemistry. 275(18). 13187–13190. 73 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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