N.D. Lindley

4.3k total citations
103 papers, 3.3k citations indexed

About

N.D. Lindley is a scholar working on Molecular Biology, Food Science and Biomedical Engineering. According to data from OpenAlex, N.D. Lindley has authored 103 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 22 papers in Food Science and 21 papers in Biomedical Engineering. Recurrent topics in N.D. Lindley's work include Microbial Metabolic Engineering and Bioproduction (62 papers), Enzyme Catalysis and Immobilization (18 papers) and Biofuel production and bioconversion (18 papers). N.D. Lindley is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (62 papers), Enzyme Catalysis and Immobilization (18 papers) and Biofuel production and bioconversion (18 papers). N.D. Lindley collaborates with scholars based in France, United Kingdom and Singapore. N.D. Lindley's co-authors include Muriel Cocaign‐Bousquet, Pascal Loubière, Christel Garrigues, Armel Guyonvarch, Sergine Even, David R. Leonard, Frédéric Ampe, Fabien Létisse, Congqiang Zhang and Xixian Chen and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Analytical Biochemistry.

In The Last Decade

N.D. Lindley

102 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.D. Lindley France 36 2.4k 852 798 388 352 103 3.3k
Sunghoon Park South Korea 33 2.1k 0.9× 209 0.2× 1.1k 1.4× 271 0.7× 181 0.5× 114 3.1k
Keietsu Abe Japan 38 2.8k 1.2× 426 0.5× 562 0.7× 238 0.6× 223 0.6× 132 4.2k
Shouwen Chen China 37 2.9k 1.2× 394 0.5× 732 0.9× 128 0.3× 223 0.6× 187 4.1k
Yoshikatsu Murooka Japan 36 2.2k 0.9× 424 0.5× 212 0.3× 331 0.9× 227 0.6× 167 4.6k
María-Isabel González-Siso Spain 30 2.1k 0.9× 446 0.5× 1.0k 1.3× 268 0.7× 67 0.2× 112 3.0k
Haruyuki Iefuji Japan 31 1.8k 0.8× 533 0.6× 808 1.0× 146 0.4× 273 0.8× 96 2.8k
Hongzhi Tang China 33 1.8k 0.8× 229 0.3× 789 1.0× 99 0.3× 1.1k 3.1× 146 3.6k
Jianjun Qiao China 31 2.4k 1.0× 464 0.5× 438 0.5× 184 0.5× 78 0.2× 128 3.4k
Ryuichiro Kurane Japan 32 1.1k 0.5× 335 0.4× 464 0.6× 123 0.3× 606 1.7× 108 2.8k
Pascal Bonnarme France 32 1.4k 0.6× 1.7k 2.0× 368 0.5× 326 0.8× 95 0.3× 81 3.1k

Countries citing papers authored by N.D. Lindley

Since Specialization
Citations

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

Fields of papers citing papers by N.D. Lindley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.D. Lindley. 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 N.D. Lindley. The network helps show where N.D. Lindley may publish in the future.

Co-authorship network of co-authors of N.D. Lindley

This figure shows the co-authorship network connecting the top 25 collaborators of N.D. Lindley. A scholar is included among the top collaborators of N.D. Lindley 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 N.D. Lindley. N.D. Lindley 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.
Weingarten, Melanie, et al.. (2025). Short-Chain Fatty Acid Utilization in Cyberlindnera jadinii for Single-Cell Protein and Odd-Chain Fatty Acid Production. Microorganisms. 13(7). 1558–1558. 2 indexed citations
2.
Peterson, Eric Charles, et al.. (2025). Two-Stage Bioconversion of Cellulose to Single-Cell Protein and Oil via a Cellulolytic Consortium. Fermentation. 11(2). 72–72. 1 indexed citations
3.
Peterson, Eric Charles, et al.. (2023). Single cell protein and oil production from solid cocoa fatty acid distillates co-fed ethanol. Bioresource Technology. 387. 129630–129630. 9 indexed citations
4.
Basri, Nurhidayah, et al.. (2023). Aromatic Yeasts: Interactions and Implications in Coffee Fermentation Aroma Profiles. Journal of Agricultural and Food Chemistry. 71(25). 9677–9686. 5 indexed citations
5.
Daboussi, Fayza & N.D. Lindley. (2022). Challenges to Ensure a Better Translation of Metabolic Engineering for Industrial Applications. Methods in molecular biology. 2553. 1–20. 3 indexed citations
6.
Speck, Denis, et al.. (2015). A Functional Tricarboxylic Acid Cycle Operates during Growth of Bordetella pertussis on Amino Acid Mixtures as Sole Carbon Substrates. PLoS ONE. 10(12). e0145251–e0145251. 11 indexed citations
7.
Rodríguez‐Prados, Juan‐Carlos, Pedro de Atauri, Jérôme Maury, et al.. (2009). In silico strategy to rationally engineer metabolite production: A case study for threonine in Escherichia coli. Biotechnology and Bioengineering. 103(3). 609–620. 15 indexed citations
8.
Lindley, N.D., et al.. (2009). Fructose and glucose mediates enterotoxin production and anaerobic metabolism ofBacillus cereusATCC14579T. Journal of Applied Microbiology. 107(3). 821–829. 20 indexed citations
9.
Nicolas, Cécile, Patrick Kiefer, Fabien Létisse, et al.. (2007). Response of the central metabolism of Escherichia coli to modified expression of the gene encoding the glucose‐6‐phosphate dehydrogenase. FEBS Letters. 581(20). 3771–3776. 48 indexed citations
10.
Létisse, Fabien, et al.. (2001). Kinetic analysis of growth and xanthan gum production with Xanthomonas campestris on sucrose, using sequentially consumed nitrogen sources. Applied Microbiology and Biotechnology. 55(4). 417–422. 32 indexed citations
11.
Even, Sergine, et al.. (2001). Transcript Quantification Based on Chemical Labeling of RNA Associated with Fluorescent Detection. Analytical Biochemistry. 298(2). 246–252. 10 indexed citations
12.
Girbal, Laurence, Jean‐Luc Rols, & N.D. Lindley. (2000). Growth rate influences reductive biodegradation of the organophosphorus pesticide demeton by Corynebacterium glutamicum. Biodegradation. 11(6). 371–376. 9 indexed citations
13.
Lindley, N.D., et al.. (2000). Metabolism of Lactococcus lactis subsp. cremoris MG 1363 in acid stress conditions.. International Journal of Food Microbiology. 55(1-3). 161–165. 32 indexed citations
14.
Massou, Stéphane, Virginie Puech, Franck Talmont, et al.. (1999). Heterologous expression of a deuterated membrane-integrated receptor and partial deuteration in methylotrophic yeasts. Journal of Biomolecular NMR. 14(3). 231–239. 31 indexed citations
15.
Lindley, N.D., et al.. (1999). Metabolic Analysis of Glutamate Production by Corynebacterium glutamicum. Metabolic Engineering. 1(3). 224–231. 35 indexed citations
16.
Even, Sergine, Christel Garrigues, Pascal Loubière, N.D. Lindley, & Muriel Cocaign‐Bousquet. (1999). Pyruvate Metabolism in Lactococcus lactis Is Dependent upon Glyceraldehyde-3-phosphate Dehydrogenase Activity. Metabolic Engineering. 1(3). 198–205. 58 indexed citations
17.
18.
Loubière, Pascal & N.D. Lindley. (1994). Methylotrophic growth of a mutant strain of the acetogenic bacteriumEubacterium limosumthat uses acetate as co-substrate in the absence of CO2. FEMS Microbiology Letters. 123(3). 281–287. 2 indexed citations
19.
Lindley, N.D., et al.. (1985). Alkane utilisation byCladosporium resinae: the importance of extended lag phases when assessing substrate optima. FEMS Microbiology Letters. 31(5). 307–310. 8 indexed citations
20.

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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