Genki Suzuki

479 total citations
8 papers, 380 citations indexed

About

Genki Suzuki is a scholar working on Molecular Biology, Plant Science and Periodontics. According to data from OpenAlex, Genki Suzuki has authored 8 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Plant Science and 1 paper in Periodontics. Recurrent topics in Genki Suzuki's work include Plant Molecular Biology Research (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Ubiquitin and proteasome pathways (2 papers). Genki Suzuki is often cited by papers focused on Plant Molecular Biology Research (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Ubiquitin and proteasome pathways (2 papers). Genki Suzuki collaborates with scholars based in Japan, United States and China. Genki Suzuki's co-authors include Yuki Yanagawa, Shing F. Kwok, Xing‐Wang Deng, Minami Matsui, James A. Sullivan, Seisuke Kimura, Jianning Yin, Toyotaka Ishibashi, Xing Wang Deng and Vicente Rubio and has published in prestigious journals such as Genes & Development, FEBS Letters and The Plant Journal.

In The Last Decade

Genki Suzuki

8 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Genki Suzuki Japan 6 317 290 14 14 11 8 380
Kelli G. Kline United States 8 293 0.9× 340 1.2× 9 0.6× 8 0.6× 6 0.5× 8 508
Noam Leviatan Israel 6 301 0.9× 192 0.7× 7 0.5× 13 0.9× 22 2.0× 6 376
Clara Bourbousse France 12 485 1.5× 676 2.3× 11 0.8× 4 0.3× 8 0.7× 20 765
В. И. Тарасенко Russia 10 269 0.8× 166 0.6× 7 0.5× 10 0.7× 17 1.5× 37 366
Nathan Zenser United States 7 483 1.5× 501 1.7× 16 1.1× 5 0.4× 7 0.6× 7 560
Weigui Luo China 9 107 0.3× 169 0.6× 10 0.7× 9 0.6× 5 0.5× 21 295
Natanael Mansilla Argentina 9 260 0.8× 270 0.9× 5 0.4× 6 0.4× 12 1.1× 14 415
Xiaoping Xu China 13 305 1.0× 255 0.9× 5 0.4× 3 0.2× 15 1.4× 23 386
Shih-Jui Hsu United States 7 284 0.9× 63 0.2× 12 0.9× 8 0.6× 15 1.4× 9 325

Countries citing papers authored by Genki Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Genki Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genki Suzuki

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

All Works

8 of 8 papers shown
1.
Naritomi, Yoichi, Yoshitaka Hashimoto, Takeshi Hanada, et al.. (2022). Understanding quantitative polymerase chain reaction bioanalysis issues before validation planning: Japan Bioanalysis Forum discussion group. Bioanalysis. 14(21). 1391–1405. 5 indexed citations
2.
Tabeta, Koichi, Yasuko Shimada, Hideaki Tai, et al.. (2009). Assessment of Chromosome 19 for Genetic Association in Severe Chronic Periodontitis. Journal of Periodontology. 80(4). 663–671. 4 indexed citations
3.
Nagashima, Akitomo, Genki Suzuki, Yukiko Uehara, et al.. (2007). Phytochromes and cryptochromes regulate the differential growth of Arabidopsis hypocotyls in both a PGP19‐dependent and a PGP19‐independent manner. The Plant Journal. 53(3). 516–529. 69 indexed citations
4.
Yanagawa, Yuki, James A. Sullivan, Setsuko Komatsu, et al.. (2004). Arabidopsis COP10 forms a complex with DDB1 and DET1 in vivo and enhances the activity of ubiquitin conjugating enzymes. Genes & Development. 18(17). 2172–2181. 166 indexed citations
5.
Suzuki, Genki, Yuki Yanagawa, Shing F. Kwok, Minami Matsui, & Xing‐Wang Deng. (2002). Arabidopsis COP10 is a ubiquitin-conjugating enzyme variant that acts together with COP1 and the COP9 signalosome in repressing photomorphogenesis. Genes & Development. 16(5). 554–559. 99 indexed citations
6.
Ohta, Hiroyuki, Genki Suzuki, Koichiro Awai, et al.. (1997). Distinct pathways for jasmonate- and elicitor-induced expressions of a cytochrome P450 gene in soybean suspension-cultured cells. Physiologia Plantarum. 100(3). 647–652. 1 indexed citations
7.
Ohta, Hiroyuki, Genki Suzuki, Koichiro Awai, et al.. (1997). Distinct pathways for jasmonate‐ and elicitor‐induced expressions of a cytochrome P450 gene in soybean suspension‐cultured cells. Physiologia Plantarum. 100(3). 647–652. 8 indexed citations
8.
Suzuki, Genki, Hiroyuki Ohta, Tomohiko Kato, et al.. (1996). Induction of a novel cytochrome P450 (CYP93 family) by methyl jasmonate in soybean suspension‐cultured cells. FEBS Letters. 383(1-2). 83–86. 28 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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