Niju Narayanan

606 total citations
17 papers, 453 citations indexed

About

Niju Narayanan is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Niju Narayanan has authored 17 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Cell Biology. Recurrent topics in Niju Narayanan's work include Bacterial Genetics and Biotechnology (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Protein purification and stability (3 papers). Niju Narayanan is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Protein purification and stability (3 papers). Niju Narayanan collaborates with scholars based in Canada, India and United States. Niju Narayanan's co-authors include Aradhana Srivastava, Pradip K. Roychoudhury, C. Perry Chou, Yali Xu, Christopher W. Johnson, Ramesh K. Jha, Gregg T. Beckham, Taraka Dale, Kelsey J. Ramirez and Robert Nelson and has published in prestigious journals such as Applied and Environmental Microbiology, Enzyme and Microbial Technology and Metabolic Engineering.

In The Last Decade

Niju Narayanan

17 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niju Narayanan Canada 11 301 168 69 68 63 17 453
Gyeong Tae Eom South Korea 15 384 1.3× 160 1.0× 59 0.9× 71 1.0× 92 1.5× 51 582
Pramod Agrawal United States 14 220 0.7× 131 0.8× 32 0.5× 83 1.2× 110 1.7× 39 640
Mingke Wu China 13 477 1.6× 339 2.0× 38 0.6× 62 0.9× 49 0.8× 23 590
N. Gürdal Alaeddinoğlu Türkiye 14 320 1.1× 132 0.8× 77 1.1× 86 1.3× 127 2.0× 19 601
Devin H. Currie United States 8 290 1.0× 150 0.9× 48 0.7× 20 0.3× 53 0.8× 9 381
Payam Ghiaci Sweden 9 411 1.4× 204 1.2× 48 0.7× 34 0.5× 30 0.5× 11 537
Yin Mao China 9 283 0.9× 175 1.0× 20 0.3× 40 0.6× 31 0.5× 15 392
Philibert Tuyishime China 10 417 1.4× 200 1.2× 30 0.4× 135 2.0× 35 0.6× 11 618
Irene Martínez Chile 14 587 2.0× 250 1.5× 68 1.0× 74 1.1× 38 0.6× 28 717
Naoyuki Okuda Japan 13 328 1.1× 320 1.9× 32 0.5× 40 0.6× 125 2.0× 16 499

Countries citing papers authored by Niju Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Niju Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niju Narayanan

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

All Works

17 of 17 papers shown
1.
Bentley, Gayle J., Niju Narayanan, Ramesh K. Jha, et al.. (2020). Engineering glucose metabolism for enhanced muconic acid production in Pseudomonas putida KT2440. Metabolic Engineering. 59. 64–75. 90 indexed citations
2.
Jha, Ramesh K., Niju Narayanan, Theresa L. Kern, et al.. (2019). Sensor-Enabled Alleviation of Product Inhibition in Chorismate Pyruvate-Lyase. ACS Synthetic Biology. 8(4). 775–786. 26 indexed citations
3.
Narayanan, Niju, Stephen Brand, Charles A. Nicolette, et al.. (2010). Structural identification of recombinant human CD83 mutant variant as a potent therapeutic protein. Protein Expression and Purification. 73(2). 140–146. 5 indexed citations
4.
Srivastava, Preeti, Pooja Singh, Niju Narayanan, & J. K. Deb. (2010). Physiological and biochemical consequences of host–plasmid interaction – A case study with Corynebacterium renale, a multiple cryptic plasmid containing strain. Plasmid. 65(2). 110–117. 7 indexed citations
5.
Narayanan, Niju, et al.. (2010). Enhancing Functional Expression of Heterologous Burkholderia Lipase in Escherichia coli. Molecular Biotechnology. 47(2). 130–143. 15 indexed citations
6.
Narayanan, Niju, et al.. (2009). Enhancing functional expression of heterologous lipase B in Escherichia coli by extracellular secretion. Journal of Industrial Microbiology & Biotechnology. 37(4). 349–361. 11 indexed citations
7.
Narayanan, Niju & C. Perry Chou. (2009). Alleviation of Proteolytic Sensitivity To Enhance Recombinant Lipase Production in Escherichia coli. Applied and Environmental Microbiology. 75(16). 5424–5427. 16 indexed citations
8.
Narayanan, Niju & C. Perry Chou. (2008). Physiological Improvement to Enhance Escherichia coli Cell‐Surface Display via Reducing Extracytoplasmic Stress. Biotechnology Progress. 24(2). 293–301. 12 indexed citations
9.
Narayanan, Niju, Stéphanie Follonier, & C. Perry Chou. (2008). In vivo monitoring and alleviation of extracytoplasmic stress to recombinant protein overproduction in the periplasm of Escherichia coli. Biochemical Engineering Journal. 42(1). 13–19. 4 indexed citations
10.
Narayanan, Niju & C. Perry Chou. (2008). Periplasmic chaperone FkpA reduces extracytoplasmic stress response and improves cell-surface display on Escherichia coli. Enzyme and Microbial Technology. 42(6). 506–513. 3 indexed citations
11.
Narayanan, Niju, Yali Xu, & C. Perry Chou. (2006). High‐Level Gene Expression for Recombinant Penicillin Acylase Production Using the araB Promoter System in Escherichia coli. Biotechnology Progress. 22(6). 1518–1523. 13 indexed citations
12.
Narayanan, Niju, Yali Xu, & C. Perry Chou. (2006). High-Level Gene Expression for Recombinant Penicillin Acylase Production Using thearaBPromoter System inEscherichia coli. Biotechnology Progress. 22(6). 1518–1523. 5 indexed citations
13.
Xu, Yali, Niju Narayanan, William A. Anderson, et al.. (2005). Cytoplasmic Overexpression, Folding, and Processing of Penicillin Acylase Precursor in Escherichiacoli. Biotechnology Progress. 21(5). 1357–1365. 10 indexed citations
14.
Xu, Yali, Niju Narayanan, William A. Anderson, et al.. (2005). Chaperone-Mediated Folding and Maturation of the Penicillin Acylase Precursor in the Cytoplasm of Escherichia coli. Applied and Environmental Microbiology. 71(10). 6247–6253. 24 indexed citations
15.
Narayanan, Niju, Pradip K. Roychoudhury, & Aradhana Srivastava. (2004). Isolation of adh mutant of Lactobacillus rhamnosus for production of L(+) Lactic acid. Electronic Journal of Biotechnology. 7(1). 72–84. 12 indexed citations
16.
Srivastava, Aradhana, Niju Narayanan, & Pradip K. Roychoudhury. (2004). L (+) lactic acid fermentation and its product polymerization. Electronic Journal of Biotechnology. 7(2). 194 indexed citations
17.
Srivastava, Aradhana, Niju Narayanan, & Pradip K. Roychoudhury. (2004). Isolation of adh mutant of Lactobacillus rhamnosus for production of L(+) Lactic acid. Electronic Journal of Biotechnology. 7(1). 6 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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