David R. Nobles

900 total citations
19 papers, 561 citations indexed

About

David R. Nobles is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, David R. Nobles has authored 19 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Renewable Energy, Sustainability and the Environment, 5 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in David R. Nobles's work include Algal biology and biofuel production (9 papers), Microbial Community Ecology and Physiology (4 papers) and Polysaccharides and Plant Cell Walls (3 papers). David R. Nobles is often cited by papers focused on Algal biology and biofuel production (9 papers), Microbial Community Ecology and Physiology (4 papers) and Polysaccharides and Plant Cell Walls (3 papers). David R. Nobles collaborates with scholars based in United States, Saudi Arabia and United Kingdom. David R. Nobles's co-authors include R. Malcolm Brown, Dwight K. Romanovicz, Schonna R. Manning, R. M. Brown, Annelie Brauner, Inder M. Saxena, Jerry J. Brand, Wang Xiao-da, Ute Römling and Abdul Kader and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

David R. Nobles

19 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R. Nobles United States 12 214 160 154 111 108 19 561
Ryan Simkovsky United States 16 383 1.8× 39 0.2× 156 1.0× 159 1.4× 58 0.5× 29 704
Amit Kumar Sharma India 12 364 1.7× 117 0.7× 258 1.7× 79 0.7× 21 0.2× 20 643
Philip A. Lee United States 10 420 2.0× 82 0.5× 433 2.8× 127 1.1× 46 0.4× 10 707
Philip D. Weyman United States 20 702 3.3× 258 1.6× 430 2.8× 260 2.3× 45 0.4× 31 1.1k
Hélène Timpano France 9 330 1.5× 290 1.8× 130 0.8× 90 0.8× 54 0.5× 9 558
Jenn Tu Taiwan 15 490 2.3× 130 0.8× 56 0.4× 191 1.7× 160 1.5× 29 696
Shona M. Duncan United States 16 186 0.9× 193 1.2× 50 0.3× 274 2.5× 268 2.5× 21 846
Elsa Leitão Portugal 15 406 1.9× 72 0.5× 271 1.8× 107 1.0× 64 0.6× 22 806
Qinghua Wang China 14 179 0.8× 254 1.6× 234 1.5× 73 0.7× 22 0.2× 51 732
Linan Zhang China 11 74 0.3× 98 0.6× 46 0.3× 55 0.5× 63 0.6× 36 502

Countries citing papers authored by David R. Nobles

Since Specialization
Citations

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

Fields of papers citing papers by David R. Nobles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Nobles. 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 David R. Nobles. The network helps show where David R. Nobles may publish in the future.

Co-authorship network of co-authors of David R. Nobles

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

All Works

19 of 19 papers shown
1.
Quinn, Jason C., et al.. (2023). Integrated techno-economic and life cycle assessment of a novel algae-based coating for direct air carbon capture and sequestration. Journal of CO2 Utilization. 69. 102421–102421. 13 indexed citations
2.
Gao, Song, Scott Edmundson, Michael H. Huesemann, et al.. (2023). A newly isolated alkaliphilic cyanobacterium for biomass production with direct air CO2 capture. Journal of CO2 Utilization. 69. 102399–102399. 8 indexed citations
3.
Cole, Garrett D., Jason C. Quinn, David Simmons, et al.. (2022). Integrated Techno-Economic and Life Cycle Assessment of a Novel Algae-Based Coating for Direct Air Carbon Capture and Sequestration. SSRN Electronic Journal. 1 indexed citations
4.
Nelson, David R., Khaled M. Hazzouri, Kyle J. Lauersen, et al.. (2021). Large-scale genome sequencing reveals the driving forces of viruses in microalgal evolution. Cell Host & Microbe. 29(2). 250–266.e8. 44 indexed citations
5.
Yamagishi, Takahiro, Haruyo Yamaguchi, S. Suzuki, et al.. (2020). Comparative genome analysis of test algal strain NIVA-CHL1 (Raphidocelis subcapitata) maintained in microalgal culture collections worldwide. PLoS ONE. 15(11). e0241889–e0241889. 5 indexed citations
6.
Nobles, David R. & Schonna R. Manning. (2019). Extraction and Characterization of Lipids from Macroalgae. Methods in molecular biology. 1995. 131–140. 2 indexed citations
7.
Dosoky, Noura S., Muhammad S. Khan, M. Sh. Zoromba, et al.. (2019). High-Throughput Screening of Chlorella Vulgaris Growth Kinetics inside a Droplet-Based Microfluidic Device under Irradiance and Nitrate Stress Conditions. Biomolecules. 9(7). 276–276. 15 indexed citations
8.
9.
Boundy‐Mills, Kyria, Kevin McCluskey, Jessie A. Glaeser, et al.. (2019). Preserving US microbe collections sparks future discoveries. Journal of Applied Microbiology. 129(2). 162–174. 11 indexed citations
10.
Yang, Yiling, Vinson Lam, Ryan Simkovsky, et al.. (2018). Phototaxis in a wild isolate of the cyanobacterium Synechococcus elongatus. Proceedings of the National Academy of Sciences. 115(52). E12378–E12387. 53 indexed citations
11.
Manning, Schonna R. & David R. Nobles. (2017). Impact of global warming on water toxicity: cyanotoxins. Current Opinion in Food Science. 18. 14–20. 48 indexed citations
12.
Higgins, Brendan T., David R. Nobles, Yan Ma, et al.. (2015). Informatics for improved algal taxonomic classification and research: A case study of UTEX 2341. Algal Research. 12. 545–549. 18 indexed citations
13.
Boundy‐Mills, Kyria, Matthias Hess, Matthew J. Ryan, et al.. (2015). The United States Culture Collection Network (USCCN): Enhancing Microbial Genomics Research through Living Microbe Culture Collections. Applied and Environmental Microbiology. 81(17). 5671–5674. 19 indexed citations
14.
McCluskey, Kevin, Scott T. Bates, Kyria Boundy‐Mills, et al.. (2014). Meeting report: 2nd workshop of the United States culture collection network (May 19–21, 2014, State College, PA, USA). Standards in Genomic Sciences. 9(1). 3 indexed citations
15.
Monteiro, Cláudia, Inder M. Saxena, Wang Xiao-da, et al.. (2009). Characterization of cellulose production in Escherichia coli Nissle 1917 and its biological consequences. Environmental Microbiology. 11(5). 1105–1116. 63 indexed citations
16.
17.
Nobles, David R. & R. Malcolm Brown. (2004). The pivotal role of cyanobacteria in the evolution of cellulose synthases and cellulose synthase-like proteins. Cellulose. 11(3-4). 437–448. 40 indexed citations
18.
Nobles, David R.. (2001). Cellulose in Cyanobacteria. Origin of Vascular Plant Cellulose Synthase?. PLANT PHYSIOLOGY. 127(2). 529–542. 8 indexed citations
19.
Nobles, David R., Dwight K. Romanovicz, & R. Malcolm Brown. (2001). Cellulose in Cyanobacteria. Origin of Vascular Plant Cellulose Synthase?. PLANT PHYSIOLOGY. 127(2). 529–542. 157 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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