Norio Kondo

1.1k total citations
96 papers, 800 citations indexed

About

Norio Kondo is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Norio Kondo has authored 96 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Plant Science, 30 papers in Cell Biology and 20 papers in Molecular Biology. Recurrent topics in Norio Kondo's work include Plant Pathogens and Fungal Diseases (30 papers), Plant Disease Resistance and Genetics (20 papers) and Plant Pathogens and Resistance (14 papers). Norio Kondo is often cited by papers focused on Plant Pathogens and Fungal Diseases (30 papers), Plant Disease Resistance and Genetics (20 papers) and Plant Pathogens and Resistance (14 papers). Norio Kondo collaborates with scholars based in Japan, Spain and United States. Norio Kondo's co-authors include Kunio Takahashi, Kaoru Kinoshita, Kiyotaka Koyama, Hiroshi Yuasa, Ryoei Hara, Yoshiyuki Miyaji, Atsushi Nagai, Tomohiro Fujii, Yoshimasa Jo and Mamoru Tsukuda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of Urology.

In The Last Decade

Norio Kondo

87 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norio Kondo Japan 15 331 273 170 145 95 96 800
Chiara Costanza Volpi Italy 18 504 1.5× 338 1.2× 89 0.5× 76 0.5× 90 0.9× 44 1.1k
Ratnesh Singh United States 19 130 0.4× 556 2.0× 30 0.2× 45 0.3× 84 0.9× 39 896
Simon Denil Belgium 16 342 1.0× 429 1.6× 60 0.4× 56 0.4× 171 1.8× 27 1.0k
Seiya Saito Japan 21 633 1.9× 470 1.7× 100 0.6× 446 3.1× 135 1.4× 67 1.4k
Christopher G. Love Australia 19 461 1.4× 613 2.2× 52 0.3× 59 0.4× 82 0.9× 45 1.2k
Yoshio Miura Japan 14 393 1.2× 193 0.7× 63 0.4× 41 0.3× 93 1.0× 27 622
Yuhong Zhou China 12 203 0.6× 497 1.8× 124 0.7× 16 0.1× 50 0.5× 16 959
Hélène Rocheleau Canada 16 582 1.8× 321 1.2× 18 0.1× 310 2.1× 17 0.2× 24 964
Di Guan China 11 138 0.4× 267 1.0× 66 0.4× 55 0.4× 16 0.2× 28 526
Bakhtiyor Yakubov United States 18 583 1.8× 545 2.0× 227 1.3× 114 0.8× 35 0.4× 27 1.2k

Countries citing papers authored by Norio Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Norio Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norio Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Norio Kondo. A scholar is included among the top collaborators of Norio Kondo 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 Norio Kondo. Norio Kondo 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.
Suzuki, Norihiro, et al.. (2021). Quantification of Phytophthora infestans population densities and their changes in potato field soil using real-time PCR. Scientific Reports. 11(1). 6266–6266. 6 indexed citations
2.
3.
Kondo, Norio, et al.. (2018). Patients Over 60 Years of Age Have Poor Prognosis in Facial Nerve Decompression Surgery with Preserved Ossicular Chain. The Journal of International Advanced Otology. 14(1). 77–84. 3 indexed citations
4.
Takahashi, Kosaku, Wataru Saburi, Haruhide Mori, et al.. (2017). Elucidation of the biosynthetic pathway of cis-jasmone in Lasiodiplodia theobromae. Scientific Reports. 7(1). 6688–6688. 22 indexed citations
5.
6.
7.
Suzuki, Takako, et al.. (2013). DNA markers linked to <i>Pga1</i>, an adzuki bean gene that confers resistance to <i>Cadophora gregata</i> race 1. Breeding Science. 63(3). 353–357. 4 indexed citations
8.
Kondo, Norio. (2012). Combined molecular targeted drug therapy for EGFR and HER-2 in head and neck squamous cell carcinoma cell lines. International Journal of Oncology. 40(6). 1805–12. 12 indexed citations
9.
Kondo, Norio, Mamoru Tsukuda, Takahide Taguchi, et al.. (2011). Gene status of head and neck squamous cell carcinoma cell lines and cetuximab‐mediated biological activities. Cancer Science. 102(9). 1717–1723. 14 indexed citations
10.
Kondo, Norio, Mamoru Tsukuda, & Goshi Nishimura. (2011). Diagnostic sensitivity of 18fluorodeoxyglucose positron emission tomography for detecting synchronous multiple primary cancers in head and neck cancer patients. European Archives of Oto-Rhino-Laryngology. 269(5). 1503–1507. 15 indexed citations
11.
Hara, Ryoei, Yoshimasa Jo, Tomohiro Fujii, et al.. (2008). Optimal Approach for Prostate Cancer Detection as Initial Biopsy: Prospective Randomized Study Comparing Transperineal Versus Transrectal Systematic 12-Core Biopsy. Urology. 71(2). 191–195. 129 indexed citations
12.
Nishimura, Goshi, Mamoru Tsukuda, Choichi Horiuchi, et al.. (2007). Concurrent chemoradiotherapy for T4 patients with hypopharyngeal and laryngeal squamous cell carcinomas. Auris Nasus Larynx. 34(4). 499–504. 12 indexed citations
13.
Takahashi, Minoru, et al.. (2005). Effect of Pratylenchus penetrans on the infection of Brown Stem Rot in adzuki bean. Nematological Research (Japanese Journal of Nematology). 35(2). 71–77. 2 indexed citations
14.
Kondo, Norio, et al.. (2003). THREE-DIMENSIONAL COMPUTATION OF FLOW AROUND TWO CIRCULAR CYLINDERS IN TANDEM ARRANGEMENTS : Computation for two circular cylinders of height H/D=1 to span-wise direction. Journal of Structural and Construction Engineering (Transactions of AIJ). 68(568). 43–49.
15.
Sugawara, Koya, et al.. (1999). Effect of soybean cyst nematode infestation on the incidence of brown stem rot in adzuki bean cultivars. 53(1). 19–25. 3 indexed citations
16.
Ohuchi, Hideyo, Mami Shibusawa, Takashi Nakagawa, et al.. (1997). A chick wingless mutation causes abnormality in maintenance of Fgf8 expression in the wing apical ridge, resulting in loss of the dorsoventral boundary. Mechanisms of Development. 62(1). 3–13. 33 indexed citations
17.
Kondo, Norio, Toshio Nishimura, & Seiji Yamada. (1994). NUMERICAL SIMULATION OF FLOW AROUND RECTANGULAR CYLINDERS : Part 1 Flow analysis by third-order upwind finite element method. Journal of Structural and Construction Engineering (Transactions of AIJ). 59(463). 143–152. 3 indexed citations
18.
Kondo, Norio. (1994). Antitumor effect of gefitinib on head and neck squamous cell carcinoma enhanced by trastuzumab. Oncology Reports. 20(2). 373–8. 21 indexed citations
19.
Kondo, Norio, et al.. (1988). Occurrence and control of sclerotinia head rot of sunflower in Hokkaido.. Japanese Journal of Phytopathology. 54(2). 198–203. 1 indexed citations
20.
Suzuki, Atsushi, et al.. (1988). A banding chromosome study of African fish family Polypteridae (Pisces: Polypteriformes).. Proceedings of the Japan Academy Series B. 64(10). 299–302. 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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