J. P. Nakas

57 total papers · 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 Enzyme Production and Characterization (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 Enzyme Production and Characterization (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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. P. Nakas	652	638	562	520	379	48	1.9k
Yuhong Huang	293 0.4×	434 0.7×	268 0.5×	170 0.3×	331 0.9×	81	1.9k
Marina Basaglia	844 1.3×	905 1.4×	296 0.5×	614 1.2×	284 0.7×	82	2.1k
Tomonori Sonoki	799 1.2×	411 0.6×	626 1.1×	240 0.5×	430 1.1×	48	2.3k
M. Gutiérrez‐Rojas	760 1.2×	564 0.9×	574 1.0×	153 0.3×	484 1.3×	73	2.2k
María del Carmen Vargas-García	383 0.6×	303 0.5×	811 1.4×	199 0.4×	180 0.5×	53	2.3k
Baljeet Singh Saharan	311 0.5×	615 1.0×	1.1k 2.0×	155 0.3×	159 0.4×	94	2.3k
Pradnya Pralhad Kanekar	147 0.2×	616 1.0×	450 0.8×	318 0.6×	518 1.4×	50	1.5k
T. de la Rubia	745 1.1×	372 0.6×	699 1.2×	254 0.5×	414 1.1×	38	2.0k
Francisca Acevedo	273 0.4×	518 0.8×	710 1.3×	405 0.8×	105 0.3×	62	2.3k
Ajay Kumar	490 0.8×	366 0.6×	138 0.2×	376 0.7×	115 0.3×	42	1.6k

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

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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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