Kanji Nakamura

1.1k total citations
47 papers, 869 citations indexed

About

Kanji Nakamura is a scholar working on Molecular Biology, Pollution and Ecology. According to data from OpenAlex, Kanji Nakamura has authored 47 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Pollution and 9 papers in Ecology. Recurrent topics in Kanji Nakamura's work include Microbial bioremediation and biosurfactants (11 papers), Wastewater Treatment and Nitrogen Removal (10 papers) and Microbial Community Ecology and Physiology (7 papers). Kanji Nakamura is often cited by papers focused on Microbial bioremediation and biosurfactants (11 papers), Wastewater Treatment and Nitrogen Removal (10 papers) and Microbial Community Ecology and Physiology (7 papers). Kanji Nakamura collaborates with scholars based in Japan, Germany and Pakistan. Kanji Nakamura's co-authors include Taro Iizumi, Katsuji Tani, Masao Nasu, Masayoshi KITAGAWA, Tomotada Iwamoto, Masahiro Eguchi, Hiroaki Ishida, Tatsuya Noike, Junichiro Matsumoto and David A. Stahl and has published in prestigious journals such as Applied and Environmental Microbiology, Water Research and Journal of the Physical Society of Japan.

In The Last Decade

Kanji Nakamura

39 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanji Nakamura Japan 14 359 256 240 118 106 47 869
Stephan Bathe Germany 17 245 0.7× 305 1.2× 253 1.1× 142 1.2× 77 0.7× 19 805
Hans J. Doddema Netherlands 17 320 0.9× 340 1.3× 132 0.6× 138 1.2× 148 1.4× 25 1.0k
Tae Gwan Kim South Korea 20 320 0.9× 316 1.2× 230 1.0× 143 1.2× 99 0.9× 61 1.0k
Shanghua Wu China 20 455 1.3× 172 0.7× 281 1.2× 94 0.8× 65 0.6× 66 1.1k
Jianfei Luo China 20 212 0.6× 197 0.8× 180 0.8× 173 1.5× 160 1.5× 39 993
Yili Huang China 17 256 0.7× 307 1.2× 217 0.9× 83 0.7× 47 0.4× 37 900
Somkiet Techkarnjanaruk Thailand 19 244 0.7× 278 1.1× 190 0.8× 249 2.1× 140 1.3× 34 1.0k
S.R. Lyon United States 13 296 0.8× 89 0.3× 279 1.2× 106 0.9× 130 1.2× 23 1.2k
Özge Eyice United Kingdom 16 258 0.7× 257 1.0× 221 0.9× 183 1.6× 131 1.2× 30 909
Yongjie Yu China 18 231 0.6× 201 0.8× 263 1.1× 62 0.5× 88 0.8× 39 934

Countries citing papers authored by Kanji Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Kanji Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanji Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Kanji Nakamura. A scholar is included among the top collaborators of Kanji Nakamura 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 Kanji Nakamura. Kanji Nakamura 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.
Nakamura, Kanji, et al.. (2014). SINGLE CELL LABELING OF A TRICHLOROETHENE-DEGRADING BACTERIUM BY GREEN FLUORESCENT PROTEIN. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 70(1). 11–17. 1 indexed citations
2.
ISHIKAWA, Nao, et al.. (2014). CONTINUOUS REMOVAL OF ARSENIC USING A DHS REACTOR WITH ARSENITE-OXIDIZING BACTERIA. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 70(7). III_535–III_542. 2 indexed citations
3.
Nakamura, Kanji, et al.. (2014). CLONING AND EXPRESSION OF GENES ENCODING VIOLACEIN BIOSYNTHESIS FOR INHIBITING PROTOZOAN PREDATION. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 70(7). III_39–III_46. 2 indexed citations
4.
Takahashi, Tomohiro, et al.. (2013). Continuous oxidation of arsenite by arsenite-oxidizing bacteria enriched from activated sludge. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 69(7). III_1–III_8. 1 indexed citations
5.
Nakamura, Kanji, et al.. (2012). Analysis of bacterivorous protozoa in the natural environment. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 68(7). III_31–III_40. 4 indexed citations
6.
Nakamura, Kanji, et al.. (2008). Seasonal Changes in Bacterial Community Composition of the Hirose River. Environmental Engineering Research. 45. 415–422.
7.
Nakamura, Kanji, et al.. (2008). Impacts of a Foreign Bacterium on Indigenous Microbial Community: Examination of Evaluation Method. Environmental Engineering Research. 45. 203–210. 1 indexed citations
8.
9.
Nakamura, Kanji, et al.. (2006). Cloning and analysis of trichloroethene reductive dehalogenase gene and its detection by quantitative real-time PCR. Environmental Engineering Research. 43. 119–125. 2 indexed citations
10.
Nakamura, Kanji & Shoji Hayashi. (2006). Grinding Sludge Recycling to Reduce Environmental Load. Tetsu-to-Hagane. 92(5). 346–349. 2 indexed citations
11.
Nakamura, Kanji & Shoji Hayashi. (2006). Grinding Sludge Recycling to Reduce Environmental Load. Tetsu-to-Hagane. 92(5). 350–355. 1 indexed citations
12.
Akino, Toshiharu, Kanji Nakamura, & Sadao Wakamura. (2004). Diet-induced chemical phytomimesis by twig-like caterpillars of Biston robustum Butler (Lepidoptera: Geometridae). Chemoecology. 14(3-4). 36 indexed citations
13.
Nakamura, Kanji, Hiroaki Ishida, & Taro Iizumi. (2002). Evaluating impacts of Ralstonia eutrophaKT-1 injected into a trichloroethylene contaminated site on indigenous bacterial populations in groundwater. Environmental Engineering Research. 39. 333–344. 1 indexed citations
14.
15.
Nakamura, Kanji, et al.. (2000). QUANTITATIVE PCR-DETECTION OF A PHENOL-UTILIZING BACTERIUM, Ralstonia eutropha KT-1, INJECTED TO A TRICHLOROETHYLENE-CONTAMINATED SITE. Environmental Engineering Research. 37. 267–278. 4 indexed citations
16.
Iwamoto, Tomotada, Katsuji Tani, Kanji Nakamura, et al.. (2000). Monitoring impact of in situ biostimulation treatment on groundwater bacterial community by DGGE. FEMS Microbiology Ecology. 32(2). 129–141. 201 indexed citations
17.
Yamada, Akihiro, Katsumi Sugiyama, Takashi Hatta, et al.. (1998). Two Nearly Identical Aromatic Compound Hydrolase Genes in a Strong Polychlorinated Biphenyl Degrader, Rhodococcus sp. Strain RHA1. Applied and Environmental Microbiology. 64(6). 2006–2012. 57 indexed citations
18.
Ishida, Hiroaki & Kanji Nakamura. (1997). Monitoring of a Genetically Engineered Microorganism Able to Degrade Trichloroethylene by Using Luciferase Genes. Environmental Engineering Research. 34. 41–50. 1 indexed citations
19.
Nakamura, Kanji & Hiroaki Ishida. (1996). Development of a genetically engineered microorganism for trichloroethylene degradation by homologous recombination and analysis of its gene expression. Environmental Engineering Research. 33. 165–175. 2 indexed citations
20.
Nakamura, Kanji & Y. Miyaji. (1992). DEGRADATION OF TRICHLOROETHYLENE BY A GENETICALLY ENGINEERED MICROORGANISM CONTAINING A PHENOL HYDROXYLASE GENE. Environmental Engineering Research. 29. 17–27. 4 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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