Anne Ruffing

1.2k total citations
21 papers, 925 citations indexed

About

Anne Ruffing is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Ecology. According to data from OpenAlex, Anne Ruffing has authored 21 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Renewable Energy, Sustainability and the Environment and 3 papers in Ecology. Recurrent topics in Anne Ruffing's work include Algal biology and biofuel production (9 papers), Photosynthetic Processes and Mechanisms (7 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Anne Ruffing is often cited by papers focused on Algal biology and biofuel production (9 papers), Photosynthetic Processes and Mechanisms (7 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Anne Ruffing collaborates with scholars based in United States. Anne Ruffing's co-authors include Rachel R. Chen, Rachel Ruizhen Chen, Howland D. T. Jones, Rachel Chen, Zichao Mao, Wei‐Shou Hu, Raga Krishnakumar, Jerilyn A. Timlin, Jesse Cahill and Thomas A. Reichardt and has published in prestigious journals such as Journal of Bacteriology, Applied Microbiology and Biotechnology and Frontiers in Plant Science.

In The Last Decade

Anne Ruffing

21 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Ruffing United States 13 673 406 132 131 102 21 925
Guohua Guan China 14 561 0.8× 138 0.3× 180 1.4× 151 1.2× 77 0.8× 23 869
Tian‐Qiong Shi China 24 1.3k 1.9× 371 0.9× 376 2.8× 181 1.4× 136 1.3× 66 1.7k
Yoshitake Orikasa Japan 17 519 0.8× 116 0.3× 71 0.5× 126 1.0× 57 0.6× 33 791
Maria Dalgaard Mikkelsen Denmark 19 294 0.4× 293 0.7× 148 1.1× 417 3.2× 138 1.4× 32 1.2k
Khaled A. Selim Germany 16 437 0.6× 167 0.4× 89 0.7× 144 1.1× 49 0.5× 41 796
Fangzhong Wang China 19 558 0.8× 319 0.8× 241 1.8× 98 0.7× 60 0.6× 42 987
Tomokazu Shirai Japan 23 1.0k 1.5× 204 0.5× 434 3.3× 80 0.6× 79 0.8× 57 1.3k
Adam J. Wargacki United States 6 550 0.8× 222 0.5× 270 2.0× 46 0.4× 150 1.5× 6 943
Min-Ho Joe South Korea 21 634 0.9× 69 0.2× 244 1.8× 157 1.2× 123 1.2× 39 941
Shih‐I Tan Taiwan 19 715 1.1× 401 1.0× 188 1.4× 46 0.4× 67 0.7× 36 997

Countries citing papers authored by Anne Ruffing

Since Specialization
Citations

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

Fields of papers citing papers by Anne Ruffing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Ruffing

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Ruffing. A scholar is included among the top collaborators of Anne Ruffing 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 Anne Ruffing. Anne Ruffing 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.
Krishnakumar, Raga, et al.. (2023). High-Density Guide RNA Tiling and Machine Learning for Designing CRISPR Interference in Synechococcus sp. PCC 7002. ACS Synthetic Biology. 12(4). 1175–1186. 5 indexed citations
2.
Krishnakumar, Raga & Anne Ruffing. (2022). OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. PLoS Computational Biology. 18(1). e1009731–e1009731. 3 indexed citations
3.
Ruffing, Anne, Ryan Davis, & Todd W. Lane. (2022). Advances in engineering algae for biofuel production. Current Opinion in Biotechnology. 78. 102830–102830. 4 indexed citations
4.
Ruffing, Anne, et al.. (2021). Identification of Metal Stresses in Arabidopsis thaliana Using Hyperspectral Reflectance Imaging. Frontiers in Plant Science. 12. 624656–624656. 10 indexed citations
5.
Cahill, Jesse & Anne Ruffing. (2020). Revisiting the Effects of Xenon on Urate Oxidase and Tissue Plasminogen Activator: No Evidence for Inhibition by Noble Gases. Frontiers in Molecular Biosciences. 7. 574477–574477. 3 indexed citations
6.
Lacey, Randy F., Dongmei Ye, & Anne Ruffing. (2019). Engineering and characterization of copper and gold sensors in Escherichia coli and Synechococcus sp. PCC 7002. Applied Microbiology and Biotechnology. 103(6). 2797–2808. 6 indexed citations
7.
Ruffing, Anne, et al.. (2016). Genetic tools for advancement of Synechococcus sp. PCC 7002 as a cyanobacterial chassis. Microbial Cell Factories. 15(1). 190–190. 80 indexed citations
8.
Ruffing, Anne. (2014). Improved Free Fatty Acid Production in Cyanobacteria with Synechococcus sp. PCC 7002 as Host. Frontiers in Bioengineering and Biotechnology. 2. 17–17. 139 indexed citations
9.
Ruffing, Anne, et al.. (2014). Biofuel toxicity and mechanisms of biofuel tolerance in three model cyanobacteria. Algal Research. 5. 121–132. 28 indexed citations
10.
Ruffing, Anne. (2013). Borrowing genes from Chlamydomonas reinhardtii for free fatty acid production in engineered cyanobacteria. Journal of Applied Phycology. 25(5). 1495–1507. 35 indexed citations
11.
Ruffing, Anne. (2013). RNA-Seq analysis and targeted mutagenesis for improved free fatty acid production in an engineered cyanobacterium. Biotechnology for Biofuels. 6(1). 113–113. 47 indexed citations
12.
Ruffing, Anne & Rachel Chen. (2012). Transcriptome profiling of a curdlan-producing Agrobacterium reveals conserved regulatory mechanisms of exopolysaccharide biosynthesis. Microbial Cell Factories. 11(1). 17–17. 45 indexed citations
13.
Ruffing, Anne & Howland D. T. Jones. (2012). Physiological effects of free fatty acid production in genetically engineered Synechococcus elongatus PCC 7942. Biotechnology and Bioengineering. 109(9). 2190–2199. 85 indexed citations
14.
Reichardt, Thomas A., et al.. (2012). Spectroradiometric Monitoring of Nannochloropsis salina Growth. Algal Research. 1(1). 22–31. 14 indexed citations
15.
Ruffing, Anne. (2011). Engineered cyanobacteria: Teaching an old bug new tricks. PubMed. 2(3). 136–149. 79 indexed citations
16.
Ruffing, Anne & Rachel Ruizhen Chen. (2011). Citrate Stimulates Oligosaccharide Synthesis in Metabolically Engineered Agrobacterium sp.. Applied Biochemistry and Biotechnology. 164(6). 851–866. 6 indexed citations
17.
Ruffing, Anne, et al.. (2011). Genome Sequence of the Curdlan-Producing Agrobacterium sp. Strain ATCC 31749. Journal of Bacteriology. 193(16). 4294–4295. 26 indexed citations
18.
Ruffing, Anne & Rachel R. Chen. (2010). Metabolic engineering of Agrobacterium sp. strain ATCC 31749 for production of an α-Gal epitope. Microbial Cell Factories. 9(1). 1–1. 204 indexed citations
19.
Ruffing, Anne & Rachel Ruizhen Chen. (2006). Metabolic engineering of microbes for oligosaccharide and polysaccharide synthesis. Microbial Cell Factories. 5(1). 25–25. 72 indexed citations
20.
Ruffing, Anne, Zichao Mao, & Rachel Ruizhen Chen. (2006). Metabolic engineering of Agrobacterium sp. for UDP-galactose regeneration and oligosaccharide synthesis. Metabolic Engineering. 8(5). 465–473. 33 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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