J. P. Nakas

2.4k total citations
48 papers, 1.9k citations indexed

About

J. P. Nakas is a scholar working on Biomedical Engineering, Molecular Biology and Plant Science. According to data from OpenAlex, J. P. Nakas has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 16 papers in Molecular Biology and 16 papers in Plant Science. Recurrent topics in J. P. Nakas's work include Biofuel production and bioconversion (21 papers), Enzyme Catalysis and Immobilization (9 papers) and biodegradable polymer synthesis and properties (7 papers). J. P. Nakas is often cited by papers focused on Biofuel production and bioconversion (21 papers), Enzyme Catalysis and Immobilization (9 papers) and biodegradable polymer synthesis and properties (7 papers). J. P. Nakas collaborates with scholars based in United States, Belgium and Indonesia. J. P. Nakas's co-authors include Stuart W. Tanenbaum, John C. Royer, Christopher T. Nomura, Arthur J. Stipanovic, Joseph A. Perrotta, D. A. Klein, Myron J. Mitchell, Chengjun Zhu, Thomas M. Keenan and Wenyang Pan and has published in prestigious journals such as Nucleic Acids Research, Applied and Environmental Microbiology and Bioresource Technology.

In The Last Decade

J. P. Nakas

47 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. P. Nakas United States 24 647 637 563 521 379 48 1.9k
Anthony L. Pometto United States 37 1.3k 2.0× 1.2k 1.8× 957 1.7× 657 1.3× 720 1.9× 88 3.5k
M. Gutiérrez‐Rojas Mexico 27 761 1.2× 566 0.9× 576 1.0× 154 0.3× 483 1.3× 73 2.2k
A. Steinbüchel Germany 26 558 0.9× 1.5k 2.3× 256 0.5× 786 1.5× 408 1.1× 53 2.6k
Valeria Ventorino Italy 34 600 0.9× 645 1.0× 1.2k 2.2× 205 0.4× 271 0.7× 74 2.8k
Yuhong Huang China 25 305 0.5× 441 0.7× 277 0.5× 170 0.3× 332 0.9× 82 2.0k
J. Moreno Spain 36 573 0.9× 854 1.3× 1.4k 2.6× 239 0.5× 358 0.9× 124 4.1k
Sheldon J.B. Duff Canada 26 1.6k 2.4× 936 1.5× 252 0.4× 230 0.4× 381 1.0× 73 2.6k
María del Carmen Vargas-García Spain 26 384 0.6× 305 0.5× 812 1.4× 200 0.4× 181 0.5× 53 2.4k
Pradnya Pralhad Kanekar India 22 148 0.2× 616 1.0× 450 0.8× 319 0.6× 519 1.4× 50 1.5k
Wasu Pathom‐aree Thailand 30 228 0.4× 1.1k 1.7× 756 1.3× 369 0.7× 605 1.6× 141 3.0k

Countries citing papers authored by J. P. Nakas

Since Specialization
Citations

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

Fields of papers citing papers by J. P. Nakas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. P. Nakas. 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 J. P. Nakas. The network helps show where J. P. Nakas may publish in the future.

Co-authorship network of co-authors of J. P. Nakas

This figure shows the co-authorship network connecting the top 25 collaborators of J. P. Nakas. A scholar is included among the top collaborators of J. P. Nakas 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 J. P. Nakas. J. P. Nakas 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.
Zhu, Chengjun, Steven Chiu, J. P. Nakas, & Christopher T. Nomura. (2013). Bioplastics from waste glycerol derived from biodiesel industry. Journal of Applied Polymer Science. 130(1). 1–13. 66 indexed citations
2.
Pan, Wenyang, Christopher T. Nomura, & J. P. Nakas. (2012). Estimation of inhibitory effects of hemicellulosic wood hydrolysate inhibitors on PHA production by Burkholderia cepacia ATCC 17759 using response surface methodology. Bioresource Technology. 125. 275–282. 34 indexed citations
3.
Perrotta, Joseph A., et al.. (2011). Overcoming inhibitors in a hemicellulosic hydrolysate: improving fermentability by feedstock detoxification and adaptation of Pichia stipitis. Journal of Industrial Microbiology & Biotechnology. 38(12). 1939–1945. 16 indexed citations
4.
Zhu, Chengjun, Christopher T. Nomura, Joseph A. Perrotta, Arthur J. Stipanovic, & J. P. Nakas. (2009). Production and characterization of poly‐3‐hydroxybutyrate from biodiesel‐glycerol by Burkholderia cepacia ATCC 17759. Biotechnology Progress. 26(2). 424–430. 128 indexed citations
6.
Perrotta, Joseph A., et al.. (2008). Ethanol production from a membrane purified hemicellulosic hydrolysate derived from sugar maple by Pichia stipitis NRRL Y-7124. BioResources. 3(4). 1349–1358. 15 indexed citations
7.
Keenan, Thomas M., J. P. Nakas, & Stuart W. Tanenbaum. (2006). Polyhydroxyalkanoate copolymers from forest biomass. Journal of Industrial Microbiology & Biotechnology. 33(7). 616–626. 77 indexed citations
8.
Keenan, Thomas M., Stuart W. Tanenbaum, Arthur J. Stipanovic, & J. P. Nakas. (2004). Production and Characterization of Poly-β-hydroxyalkanoate Copolymers from Burkholderia cepacia Utilizing Xylose and Levulinic Acid. Biotechnology Progress. 20(6). 1697–1704. 78 indexed citations
9.
Laurinavičius, V., et al.. (1996). Laccase Containing Sol-Gel Based Optical Biosensors. Analytical Letters. 29(11). 1907–1919. 21 indexed citations
10.
Tanenbaum, Stuart W., et al.. (1995). Production and rheological properties of a succinoglycan from Pseudomonas sp. 31260 grown on wood hydrolysates. Canadian Journal of Microbiology. 41(12). 1147–1152. 5 indexed citations
11.
Hayes, Chris, Sonja S. Klemsdal, Matteo Lorito, et al.. (1994). Isolation and sequence of an endochitinase-encoding gene from a cDNA library of Trichoderma harzianum. Gene. 138(1-2). 143–148. 108 indexed citations
12.
Tanenbaum, Stuart W., et al.. (1992). Hemicellulose bioconversion to polyanionic heteropolysaccharides. Applied Biochemistry and Biotechnology. 34-35(1). 135–148. 4 indexed citations
13.
Ligon, James M. & J. P. Nakas. (1990). Nucleotide sequence ofnifKand partial sequence ofnifDfromFrankiaspecies strain FaC1. Nucleic Acids Research. 18(4). 1097–1097. 6 indexed citations
14.
Howell, Carrie R., J. P. Nakas, & Charles Hagedorn. (1990). Fungi as biological control agents.. 257–286. 2 indexed citations
15.
Ligon, James M. & J. P. Nakas. (1988). Nucleotide sequence ofnifKand partial sequence ofnifDfromFrankiaspecies strain FaCl. Nucleic Acids Research. 16(24). 11843–11843. 2 indexed citations
16.
Nakas, J. P., W. Douglas Gould, & D. A. Klein. (1987). Origin and expression of phosphatase activity in a semi-arid grassland soil. Soil Biology and Biochemistry. 19(1). 13–18. 57 indexed citations
17.
Ligon, James M. & J. P. Nakas. (1987). Isolation and Characterization of Frankia sp. Strain FaC1 Genes Involved in Nitrogen Fixation. Applied and Environmental Microbiology. 53(10). 2321–2327. 13 indexed citations
18.
Mitchell, Myron J. & J. P. Nakas. (1986). Microfloral and faunal interactions in natural and agro-ecosystems. 61 indexed citations
19.
Nakas, J. P. & D. A. Klein. (1980). Mineralization Capacity of Bacteria and Fungi from the Rhizosphere-Rhizoplane of a Semiarid Grassland. Applied and Environmental Microbiology. 39(1). 113–117. 40 indexed citations
20.
Nakas, J. P. & D. A. Klein. (1979). Decomposition of Microbial Cell Components in a Semi-Arid Grassland Soil. Applied and Environmental Microbiology. 38(3). 454–460. 52 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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