Yoshiki Mino

2.2k total citations
81 papers, 1.8k citations indexed

About

Yoshiki Mino is a scholar working on Molecular Biology, Analytical Chemistry and Pollution. According to data from OpenAlex, Yoshiki Mino has authored 81 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Analytical Chemistry and 13 papers in Pollution. Recurrent topics in Yoshiki Mino's work include Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Analytical chemistry methods development (10 papers) and Photosynthetic Processes and Mechanisms (8 papers). Yoshiki Mino is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Analytical chemistry methods development (10 papers) and Photosynthetic Processes and Mechanisms (8 papers). Yoshiki Mino collaborates with scholars based in Japan, United States and Greece. Yoshiki Mino's co-authors include Nagayo Ota, Thomas M. Loehr, Takashi Azuma, Yukio Sugiura, Kyosuke Nomoto, Joann Sanders–Loehr, Masatoshi Inoue, Toshimasa Ishida, William V. Sweeney and Michael A. Cusanovich and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Yoshiki Mino

80 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
Yoshiki Mino Japan 23 393 357 356 253 197 81 1.8k
Clive S. Butler United Kingdom 26 452 1.2× 545 1.5× 187 0.5× 356 1.4× 75 0.4× 58 2.2k
W. Schulz Germany 25 469 1.2× 538 1.5× 309 0.9× 66 0.3× 315 1.6× 68 1.9k
Sophie Bourcier France 21 283 0.7× 262 0.7× 80 0.2× 80 0.3× 123 0.6× 74 1.4k
Guido De Guidi Italy 30 202 0.5× 541 1.5× 96 0.3× 73 0.3× 82 0.4× 109 2.7k
S. Prabhakar India 28 133 0.3× 931 2.6× 263 0.7× 233 0.9× 247 1.3× 223 3.6k
Dennis W. Darnall United States 27 231 0.6× 749 2.1× 135 0.4× 123 0.5× 254 1.3× 57 2.5k
Dušan Žigon Slovenia 20 302 0.8× 341 1.0× 127 0.4× 107 0.4× 161 0.8× 58 1.2k
Cormac D. Murphy Ireland 30 366 0.9× 1.1k 3.0× 208 0.6× 46 0.2× 88 0.4× 107 2.7k
Rachel Codd Australia 28 82 0.2× 868 2.4× 407 1.1× 167 0.7× 182 0.9× 87 2.8k
Ester Marotta Italy 31 163 0.4× 406 1.1× 103 0.3× 96 0.4× 136 0.7× 96 2.4k

Countries citing papers authored by Yoshiki Mino

Since Specialization
Citations

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

Fields of papers citing papers by Yoshiki Mino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiki Mino

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiki Mino. A scholar is included among the top collaborators of Yoshiki Mino 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 Yoshiki Mino. Yoshiki Mino 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.
Azuma, Takashi, et al.. (2018). Performance and efficiency of removal of pharmaceutical compounds from hospital wastewater by lab-scale biological treatment system. Environmental Science and Pollution Research. 25(15). 14647–14655. 10 indexed citations
2.
3.
Azuma, Takashi, et al.. (2017). Distribution of six anticancer drugs and a variety of other pharmaceuticals, and their sorption onto sediments, in an urban Japanese river. Environmental Science and Pollution Research. 24(23). 19021–19030. 28 indexed citations
4.
Azuma, Takashi, et al.. (2017). A method for evaluating the pharmaceutical deconjugation potential in river water environments. Chemosphere. 180. 476–482. 8 indexed citations
5.
Azuma, Takashi, et al.. (2016). Detection of pharmaceuticals and phytochemicals together with their metabolites in hospital effluents in Japan, and their contribution to sewage treatment plant influents. The Science of The Total Environment. 548-549. 189–197. 108 indexed citations
6.
Azuma, Takashi, et al.. (2016). Fate of new three anti-influenza drugs and one prodrug in the water environment. Chemosphere. 169. 550–557. 50 indexed citations
7.
Azuma, Takashi, et al.. (2015). Occurrence and fate of selected anticancer, antimicrobial, and psychotropic pharmaceuticals in an urban river in a subcatchment of the Yodo River basin, Japan. Environmental Science and Pollution Research. 22(23). 18676–18686. 57 indexed citations
8.
Azuma, Takashi, Tamie Sugawara, Norihide Nakada, et al.. (2014). Evaluation of the Effectiveness of Epidemiological Surveillance using Anti-influenza Drugs Detected in Sewage Influent. Journal of Environmental Conservation Engineering. 43(4). 226–232. 1 indexed citations
9.
10.
Tanaka, Takao, Daisuke Yamamoto, Takaji Sato, et al.. (2011). Adenosine Thiamine Triphosphate (AThTP) Inhibits Poly(ADP-Ribose) Polymerase-1 (PARP-1) Activity. Journal of Nutritional Science and Vitaminology. 57(2). 192–196. 25 indexed citations
11.
Kimura, Shojiro, et al.. (2008). Effectiveness of Electron Beam Microbial Decontamination and Change of Essential Oil Components in Fennel. RADIOISOTOPES. 57(6). 367–373. 2 indexed citations
12.
Tsujino, Toshiaki, et al.. (2008). Detection of organic free radicals in irradiated Foeniculi fructus by electron spin resonance spectroscopy. Journal of Natural Medicines. 63(1). 28–31. 18 indexed citations
13.
Mino, Yoshiki, et al.. (2005). Detection of High Levels of Arsenic and Mercury in Some Chinese Traditional Medicines Using X-Ray Fluorescence Spectrometry. JOURNAL OF HEALTH SCIENCE. 51(5). 607–613. 5 indexed citations
14.
15.
Mino, Yoshiki, et al.. (1999). Protein Chemotaxonomy of The Solanaceae. VII. : Amino Acid Sequence of Ferrodoxin From Capsicum annuum. 53(1). 37–41. 2 indexed citations
16.
17.
Mino, Yoshiki, et al.. (1996). Metal-Containing Components in Medicinal Plants. III. Manganese-Containing Components in Theae Folium as Oral Magnetic Resonance Imaging Contrast Materials.. Chemical and Pharmaceutical Bulletin. 44(12). 2305–2308. 7 indexed citations
18.
Mino, Yoshiki, et al.. (1993). Protein chemotaxonomy of genus Datura: Identical amino acid sequence of ferredoxin from two varieties of Datura stramonium. Phytochemistry. 33(3). 601–605. 11 indexed citations
19.
Nomoto, Kyosuke, Yoshiki Mino, Toshimasa Ishida, et al.. (1981). X-Ray crystal structure of the copper (II) complex of mugineic acid, a naturally occurring metal chelator of graminaceous plants. Journal of the Chemical Society Chemical Communications. 338–338. 23 indexed citations
20.
Ota, Nagayo, Masatoshi Inoue, & Yoshiki Mino. (1979). Inulin in medicinal plants. I. Determination of inulin in medicinal plants by X-ray diffractometry.. Chemical and Pharmaceutical Bulletin. 27(12). 2997–3001. 2 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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