Steven W. Singer

12.3k total citations · 2 hit papers
144 papers, 7.4k citations indexed

About

Steven W. Singer is a scholar working on Biomedical Engineering, Molecular Biology and Ecology. According to data from OpenAlex, Steven W. Singer has authored 144 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Biomedical Engineering, 76 papers in Molecular Biology and 25 papers in Ecology. Recurrent topics in Steven W. Singer's work include Biofuel production and bioconversion (68 papers), Microbial Metabolic Engineering and Bioproduction (51 papers) and Microbial Community Ecology and Physiology (18 papers). Steven W. Singer is often cited by papers focused on Biofuel production and bioconversion (68 papers), Microbial Metabolic Engineering and Bioproduction (51 papers) and Microbial Community Ecology and Physiology (18 papers). Steven W. Singer collaborates with scholars based in United States, Austria and China. Steven W. Singer's co-authors include Blake A. Simmons, Yu‐Wei Wu, Charles P. Casey, Susannah G. Tringe, Jillian F. Banfield, Aindrila Mukhopadhyay, John M. Gladden, Douglas R. Powell, Brian C. Thomas and Randy K. Hayashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Steven W. Singer

140 papers receiving 7.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MaxBin 2.0: an automated binning algorithm to recover genomes from multiple metagenomic datasets

2015 1.6k citations Yu‐Wei Wu, Blake A. Simmons et al. Bioinformatics profile →
MaxBin: an automated binning method to recover individual genomes from metagenomes using an expectation-maximization algorithm

2014 486 citations Yu‐Wei Wu, Blake A. Simmons et al. Microbiome profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven W. Singer United States	40	3.9k	2.3k	2.2k	729	688	144	7.4k
William W. Metcalf United States	57	6.4k 1.6×	803 0.3×	1.8k 0.8×	1.1k 1.5×	1.4k 2.0×	150	10.6k
Thomas Egli Switzerland	61	3.4k 0.9×	1.7k 0.7×	1.8k 0.8×	1.1k 1.5×	498 0.7×	154	12.9k
Heinrich Lünsdorf Germany	48	3.7k 1.0×	797 0.3×	1.9k 0.8×	516 0.7×	377 0.5×	137	6.9k
Yasuo Igarashi Japan	49	4.3k 1.1×	1.8k 0.8×	1.9k 0.8×	915 1.3×	734 1.1×	289	8.9k
Volker Müller Germany	57	7.5k 1.9×	2.1k 0.9×	1.5k 0.7×	786 1.1×	412 0.6×	276	11.6k
Robert M. Kelly United States	56	5.6k 1.4×	3.6k 1.5×	1.1k 0.5×	457 0.6×	937 1.4×	272	9.8k
Gerhard Gottschalk Germany	62	9.8k 2.5×	3.0k 1.3×	2.2k 1.0×	765 1.0×	1.3k 1.9×	191	15.6k
Mirja Salkinoja‐Salonen Finland	57	4.6k 1.2×	1.2k 0.5×	2.2k 1.0×	615 0.8×	1.6k 2.3×	262	10.3k
Hermann J. Heipieper Germany	50	3.3k 0.8×	1.3k 0.6×	1.2k 0.5×	677 0.9×	516 0.8×	161	7.6k
Milton S. da Costa Portugal	48	6.8k 1.7×	762 0.3×	4.2k 1.9×	818 1.1×	1.4k 2.1×	197	9.9k

Countries citing papers authored by Steven W. Singer

Since Specialization

Citations

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

Fields of papers citing papers by Steven W. Singer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven W. Singer. 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 Steven W. Singer. The network helps show where Steven W. Singer may publish in the future.

Co-authorship network of co-authors of Steven W. Singer

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

All Works

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20 of 20 papers shown

Baral, Nawa Raj, Deepanwita Banerjee, Aindrila Mukhopadhyay, et al.. (2024). Integration of genome-scale metabolic model with biorefinery process model reveals market-competitive carbon-negative sustainable aviation fuel utilizing microbial cell mass lipids and biogenic CO2. BioResources. 19(3). 4056–4086. 3 indexed citations

Singer, Steven W., et al.. (2024). Optimization of electroporation method and promoter evaluation for type-1 methanotroph, Methylotuvimicrobium alcaliphilum. Frontiers in Bioengineering and Biotechnology. 12. 1412410–1412410. 2 indexed citations

Pham, Le Thanh Mai, Kai Deng, Hemant Choudhary, et al.. (2024). An Engineered Laccase from Fomitiporia mediterranea Accelerates Lignocellulose Degradation. Biomolecules. 14(3). 324–324. 5 indexed citations

Eng, Thomas, Zhiying Zhao, Blake A. Simmons, et al.. (2023). Development of genetic tools for heterologous protein expression in a pentose‐utilizing environmental isolate of Pseudomonas putida. Microbial Biotechnology. 16(3). 645–661. 5 indexed citations

Flamholz, Avi I., Eli Dugan, John J. Desmarais, et al.. (2022). Trajectories for the evolution of bacterial CO ₂ -concentrating mechanisms. Proceedings of the National Academy of Sciences. 119(49). e2210539119–e2210539119. 23 indexed citations

Østby, Heidi, Anikó Várnai, Raphael Gabriel, et al.. (2022). Substrate-Dependent Cellulose Saccharification Efficiency and LPMO Activity of Cellic CTec2 and a Cellulolytic Secretome from Thermoascus aurantiacus and the Impact of H₂O₂-Producing Glucose Oxidase. ACS Sustainable Chemistry & Engineering. 10(44). 14433–14444. 11 indexed citations

Pham, Le Thanh Mai, Kai Deng, Trent R. Northen, et al.. (2022). Heterologous Expression, Characterization, and Comparison of Laccases from the White Rot Causing Basidiomycete Cerrena Unicolor. 2(3). 1–33. 3 indexed citations

Stinson, Michael R., et al.. (2022). Effects of Messaging and Communication Strategy Training on Interaction in Teams With Deaf and Hearing College Students. American annals of the deaf. 167(4). 431–456.

Kim, Changman, Chang Dou, Lauren Magnusson, et al.. (2022). Coupling gas purging with inorganic carbon supply to enhance biohydrogen production with Clostridium thermocellum. Chemical Engineering Journal. 456. 141028–141028. 5 indexed citations

10.

Tom, Lauren M., Martina Aulitto, Yu‐Wei Wu, et al.. (2022). Low-abundance populations distinguish microbiome performance in plant cell wall deconstruction. Microbiome. 10(1). 183–183. 19 indexed citations

11.

Lawson, Christopher E., Jose Manuel Martí, Tijana Radivojević, et al.. (2020). Machine learning for metabolic engineering: A review. Metabolic Engineering. 63. 34–60. 191 indexed citations

12.

Doud, Devin F. R., Robert M. Bowers, Frederik Schulz, et al.. (2019). Function-driven single-cell genomics uncovers cellulose-degrading bacteria from the rare biosphere. The ISME Journal. 14(3). 659–675. 58 indexed citations

13.

Wu, Yu‐Wei, Blake A. Simmons, & Steven W. Singer. (2015). MaxBin 2.0: an automated binning algorithm to recover genomes from multiple metagenomic datasets. Bioinformatics. 32(4). 605–607. 1608 indexed citations breakdown →

14.

Yu, Chaowei, Amitha P. Reddy, Christopher W. Simmons, et al.. (2015). Preservation of microbial communities enriched on lignocellulose under thermophilic and high-solid conditions. Biotechnology for Biofuels. 8(1). 206–206. 23 indexed citations

15.

Woebken, Dagmar, Luke C. Burow, Faris Behnam, et al.. (2014). Revisiting N2 fixation in Guerrero Negro intertidal microbial mats with a functional single-cell approach. The ISME Journal. 9(2). 485–496. 64 indexed citations

16.

Singer, Steven W.. (2012). Targeted Isolation of Proteins from Natural Microbial Communities Living in an Extreme Environment. Methods in molecular biology. 881. 63–72. 2 indexed citations

17.

Miller, Christopher S., Brett J. Baker, Brian C. Thomas, Steven W. Singer, & Jillian F. Banfield. (2011). EMIRGE: reconstruction of full-length ribosomal genes from microbial community short read sequencing data. Genome biology. 12(5). R44–R44. 272 indexed citations

18.

Casey, Charles P., et al.. (2010). Chain mechanism for exchange of D2 with a ruthenium hydride. Chemical Communications. 46(42). 7915–7915. 8 indexed citations

19.

Goltsman, Daniela S. Aliaga, Vincent J. Denef, Steven W. Singer, et al.. (2009). Community genomic and proteomic analysis of chemoautotrophic, iron-oxidizing "Leptospirillum rubarum" (Group II) and Leptospirillum ferrodiazotrophum (Group III) in acid mine drainage biofilms. Applied Microbiology and Biotechnology. 6 indexed citations

20.

Page, Gary W., Michael W. Parker, R. Glenn Ford, et al.. (2003). The 1986 Apex Houston Oil Spill in Central California: Seabird Injury Assessment and Litigation Process. Marine ornithology. 31(1). 8 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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