Jun Furukawa

4.3k total citations
77 papers, 2.2k citations indexed

About

Jun Furukawa is a scholar working on Plant Science, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jun Furukawa has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 18 papers in Molecular Biology and 13 papers in Artificial Intelligence. Recurrent topics in Jun Furukawa's work include Plant Stress Responses and Tolerance (12 papers), Cryptography and Data Security (12 papers) and Aluminum toxicity and tolerance in plants and animals (9 papers). Jun Furukawa is often cited by papers focused on Plant Stress Responses and Tolerance (12 papers), Cryptography and Data Security (12 papers) and Aluminum toxicity and tolerance in plants and animals (9 papers). Jun Furukawa collaborates with scholars based in Japan, Israel and United States. Jun Furukawa's co-authors include Jian Feng, Kazuyoshi Takeda, Kazuhiro Sato, Toshinori Araki, Kazuma Ohara, Naoki Yamaji, Shigenobu Okuda, Yehuda Lindell, Hua Wang and Namiki Mitani and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Scientific Reports.

In The Last Decade

Jun Furukawa

75 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Furukawa Japan 26 1.1k 383 356 335 195 77 2.2k
Hong Liang China 33 503 0.5× 848 2.2× 201 0.6× 342 1.0× 219 1.1× 216 4.4k
Joseph I. Okogun Nigeria 25 825 0.8× 633 1.7× 166 0.5× 71 0.2× 144 0.7× 104 2.0k
Dominique Laurent France 28 387 0.4× 552 1.4× 236 0.7× 141 0.4× 201 1.0× 147 2.2k
Yoshikazu Yamamoto Japan 26 616 0.6× 306 0.8× 159 0.4× 112 0.3× 133 0.7× 217 2.4k
Roberto Larcher Italy 33 1.0k 0.9× 840 2.2× 203 0.6× 110 0.3× 103 0.5× 216 3.6k
Stephen R. Heller United States 19 667 0.6× 1.2k 3.1× 218 0.6× 77 0.2× 103 0.5× 84 3.1k
Costel Sârbu Romania 25 215 0.2× 358 0.9× 261 0.7× 117 0.3× 91 0.5× 141 2.3k
Ewa Gajewska Poland 23 1.2k 1.1× 812 2.1× 186 0.5× 85 0.3× 110 0.6× 58 2.8k
Raffaele Romano Italy 31 709 0.7× 463 1.2× 219 0.6× 214 0.6× 151 0.8× 194 2.8k
Mohammad Mahdavi Iran 31 97 0.1× 711 1.9× 2.1k 5.8× 146 0.4× 312 1.6× 241 3.4k

Countries citing papers authored by Jun Furukawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Furukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Furukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Furukawa. A scholar is included among the top collaborators of Jun Furukawa 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 Jun Furukawa. Jun Furukawa 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.
Momiyama, S., et al.. (2024). CyberShapley: Explanation, prioritization, and triage of cybersecurity alerts using informative graph representation. Computers & Security. 150. 104270–104270. 1 indexed citations
2.
Kanno, Satomi, Serge Chiarenza, Tatsuya Nobori, et al.. (2023). Xylem K+ loading modulates K+ and Cs+ absorption and distribution in Arabidopsis under K+-limited conditions. Frontiers in Plant Science. 14. 1040118–1040118. 3 indexed citations
3.
Aohara, Tsutomu, Jun Furukawa, Kenji Miura, et al.. (2019). Presence of a basic secretory protein in xylem sap and shoots of poplar in winter and its physicochemical activities against winter environmental conditions. Journal of Plant Research. 132(5). 655–665. 1 indexed citations
4.
5.
Rai, Hiroki, Namiko Satoh‐Nagasawa, Jun Furukawa, et al.. (2017). Cesium Uptake by Rice Roots Largely Depends Upon a Single Gene, HAK1, Which Encodes a Potassium Transporter. Plant and Cell Physiology. 58(9). 1486–1493. 35 indexed citations
6.
Yokoyama, Ryusuke, Tsuyoshi Yamamoto, Jun Furukawa, et al.. (2014). The Matrix Polysaccharide (1;3,1;4)-β-d-Glucan is Involved in Silicon-Dependent Strengthening of Rice Cell Wall. Plant and Cell Physiology. 56(2). 268–276. 56 indexed citations
7.
Ohmori, Yoshihiro, Masataka Kajikawa, Sho Nishida, et al.. (2013). The effect of fertilization on cesium concentration of rice grown in a paddy field in Fukushima Prefecture in 2011 and 2012. Journal of Plant Research. 127(1). 67–71. 24 indexed citations
8.
Matsuoka, Keita, et al.. (2013). Gibberellin-Induced Expression of Fe Uptake-Related Genes in Arabidopsis. Plant and Cell Physiology. 55(1). 87–98. 43 indexed citations
9.
Katoh, Hiroshi, Jun Furukawa, Kaori Tomita‐Yokotani, & Yasuaki Nishi. (2012). Isolation and purification of an axenic diazotrophic drought-tolerant cyanobacterium, Nostoc commune, from natural cyanobacterial crusts and its utilization for field research on soils polluted with radioisotopes. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1817(8). 1499–1505. 32 indexed citations
10.
Miura, Kenji, Aiko Sato, Masaru Ohta, & Jun Furukawa. (2011). Increased tolerance to salt stress in the phosphate-accumulating Arabidopsis mutants siz1 and pho2. Planta. 234(6). 1191–1199. 55 indexed citations
11.
Furukawa, Jun, Naoki Yamaji, Hua Wang, et al.. (2007). An Aluminum-Activated Citrate Transporter in Barley. Plant and Cell Physiology. 48(8). 1081–1091. 407 indexed citations
12.
Feng, Jian, Sakiko Nagao, Kazuhiro Sato, et al.. (2004). Molecular mapping of a gene responsible for Al-activated secretion of citrate in barley. Journal of Experimental Botany. 55(401). 1335–1341. 77 indexed citations
13.
14.
Furukawa, Jun, et al.. (2002). Water accumulation in the vicinity of a soybean root imbedded in soil revealed by neutron beam. Analytical Sciences. 17. 4 indexed citations
15.
Nakanishi, Tomoko, Jun Furukawa, Keitaro Tanoi, et al.. (2002). A Preliminary Study of an Al Effect on 15O-Labeled Water Uptake in a Soybean Plant by PETIS (Positron Emitting Tracer Imaging System). 17. 1 indexed citations
16.
Nakanishi, Tomoko, et al.. (2001). Circadian Rhythm in 15O-Labeled Water Uptake Manner of a Soybean Plant by PETIS(Position Emitting Tracer Imaging System).. RADIOISOTOPES. 50(5). 163–168. 7 indexed citations
17.
Furukawa, Jun, et al.. (2001). Water Movement in the Vicinity of a Seedling Root with Aluminum Treatment by Neutron Beam Imaging.. RADIOISOTOPES. 50(6). 270–274. 3 indexed citations
18.
Furukawa, Jun & Kazue Sako. (2001). An Ecient Scheme for Proving a Shue. 11(12). 767–8. 23 indexed citations
19.
Okada, Hiromasa, et al.. (1989). A new group of antibiotics, hydroxamic acid antimycotic antibiotics. II. The structure of neoenactins NL1 and NL2 and structure-activity relationship.. The Journal of Antibiotics. 42(2). 276–282. 3 indexed citations
20.
Furukawa, Jun, Shigenobu Okuda, Koshi Saito, & Shin-ichi Hatanaka. (1985). 3,4-dihydroxy-2-hydroxymethylpyrrolidine from Arachniodes standishii. Phytochemistry. 24(3). 593–594. 57 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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