Miranda Maki

1.3k total citations
11 papers, 960 citations indexed

About

Miranda Maki is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Miranda Maki has authored 11 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Biomedical Engineering and 4 papers in Biotechnology. Recurrent topics in Miranda Maki's work include Biofuel production and bioconversion (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Enzyme Production and Characterization (4 papers). Miranda Maki is often cited by papers focused on Biofuel production and bioconversion (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Enzyme Production and Characterization (4 papers). Miranda Maki collaborates with scholars based in Canada and China. Miranda Maki's co-authors include Wensheng Qin, Kam Tin Leung, Canquan Mao, Mehdi Dashtban, Lili Xiong, Zhiyun Guo, Ruofan Ding, Yalan Yang, Bao Zhang and Sanfeng Chen and has published in prestigious journals such as Scientific Reports, Critical Reviews in Biotechnology and Canadian Journal of Microbiology.

In The Last Decade

Miranda Maki

11 papers receiving 925 citations

Peers

Miranda Maki

BE

MB

BIOTE

PS

CR

Mitsuo Tanaka Japan

Han Qin China

Jiufu Qin China

Ju-Hyun Yu South Korea

Marilyn Henderson Australia

Laura B. Willis United States

Huizhen Hu China

Halina Kalinowska Poland

Dao‐Qiong Zheng China

A. M. Ismail Egypt

Mitsuo Tanaka Japan

Miranda Maki

508 ×0.9

BE

327 ×0.6

MB

198 ×0.5

BIOTE

121 ×0.7

PS

56 ×0.4

CR

Citations per year, relative to Miranda Maki Miranda Maki (= 1×) peers Mitsuo Tanaka

Countries citing papers authored by Miranda Maki

Since Specialization

Citations

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

Fields of papers citing papers by Miranda Maki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miranda Maki

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

All Works

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11 of 11 papers shown

1.

Maki, Miranda, et al.. (2019). Novel fusants of two and three clostridia for enhanced green production of biobutanol. Biofuels. 12(8). 1017–1027. 8 indexed citations

2.

Guo, Zhiyun, Miranda Maki, Ruofan Ding, et al.. (2014). Genome-wide survey of tissue-specific microRNA and transcription factor regulatory networks in 12 tissues. Scientific Reports. 4(1). 5150–5150. 176 indexed citations

3.

Maki, Miranda, et al.. (2014). Bacterial consortia constructed for the decomposition ofAgavebiomass. Bioengineered. 5(3). 165–172. 11 indexed citations

4.

Xiong, Lili, Miranda Maki, Zhiyun Guo, Canquan Mao, & Wensheng Qin. (2014). Agave Biomass is Excellent for Production of Bioethanol and Xylitol Using Bacillus Strain 65S3 and Pseudomonas Strain CDS3. Journal of Biobased Materials and Bioenergy. 8(4). 422–428. 12 indexed citations

5.

Maki, Miranda, et al.. (2012). Newly Isolated and Characterized Bacteria with Great Application Potential for Decomposition of Lignocellulosic Biomass. Microbial Physiology. 22(3). 156–166. 46 indexed citations

6.

Ma, Yuchao, et al.. (2012). Characterization and analysis of nifH genes from Paenibacillus sabinae T27. Microbiological Research. 167(10). 596–601. 23 indexed citations

7.

Maki, Miranda, et al.. (2012). Increased expression of β-glucosidase A in Clostridium thermocellum 27405 significantly increases cellulase activity. Bioengineered. 4(1). 15–20. 14 indexed citations

8.

Maki, Miranda, et al.. (2011). Characterization of some efficient cellulase producing bacteria isolated from paper mill sludges and organic fertilizers.. PubMed. 2(2). 146–154. 55 indexed citations

9.

Dashtban, Mehdi, Miranda Maki, Kam Tin Leung, Canquan Mao, & Wensheng Qin. (2010). Cellulase activities in biomass conversion: measurement methods and comparison. Critical Reviews in Biotechnology. 30(4). 302–309. 209 indexed citations

10.

Maki, Miranda, Kam Tin Leung, & Wensheng Qin. (2009). The prospects of cellulase-producing bacteria for the bioconversion of lignocellulosic biomass. International Journal of Biological Sciences. 5(5). 500–516. 405 indexed citations

11.

Maki, Miranda, John R. Lawrence, G. D. W. Swerhone, & Kam Tin Leung. (2009). The role of rpoS on the survival of a p-nitrophenol degrading Pseudomonas putida strain in planktonic and biofilm phases. Canadian Journal of Microbiology. 55(10). 1176–1186. 1 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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