Hideki Kondō

9.2k total citations · 1 hit paper
180 papers, 5.3k citations indexed

About

Hideki Kondō is a scholar working on Plant Science, Endocrinology and Insect Science. According to data from OpenAlex, Hideki Kondō has authored 180 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Plant Science, 84 papers in Endocrinology and 28 papers in Insect Science. Recurrent topics in Hideki Kondō's work include Plant Virus Research Studies (116 papers), Plant and Fungal Interactions Research (84 papers) and Plant Disease Management Techniques (28 papers). Hideki Kondō is often cited by papers focused on Plant Virus Research Studies (116 papers), Plant and Fungal Interactions Research (84 papers) and Plant Disease Management Techniques (28 papers). Hideki Kondō collaborates with scholars based in Japan, China and United States. Hideki Kondō's co-authors include Nobuhiro Suzuki, Ida Bagus Andika, T. Tamada, Sotaro Chiba, Satoko Kanematsu, Ralf G. Dietzgen, Liying Sun, Bradley I. Hillman, Atsuo Takanishi and Gael Kurath and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Plant Cell.

In The Last Decade

Hideki Kondō

175 papers receiving 5.2k citations

Hit Papers

Mycovirus Diversity and Evolution Revealed/Inferred from ... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideki Kondō Japan 44 3.9k 2.7k 758 565 483 180 5.3k
Jonathan Crabtree United States 24 948 0.2× 422 0.2× 125 0.2× 2.4k 4.3× 129 0.3× 38 4.0k
Ming Wang China 26 3.0k 0.8× 486 0.2× 215 0.3× 2.1k 3.7× 81 0.2× 103 6.0k
Alistair B. Russell United States 22 708 0.2× 1.9k 0.7× 78 0.1× 1.3k 2.2× 137 0.3× 41 3.8k
Donald L. Nuss United States 60 6.1k 1.6× 4.9k 1.8× 476 0.6× 1.5k 2.7× 71 0.1× 191 11.0k
Granger Sutton United States 25 619 0.2× 251 0.1× 332 0.4× 1.7k 3.0× 159 0.3× 45 3.7k
Tatsuya Nagata Brazil 26 1.9k 0.5× 668 0.2× 718 0.9× 424 0.8× 80 0.2× 172 2.4k
Iain Milne United Kingdom 19 1.2k 0.3× 149 0.1× 195 0.3× 1.1k 2.0× 53 0.1× 38 3.3k
John Webster United States 25 522 0.1× 96 0.0× 98 0.1× 918 1.6× 767 1.6× 66 3.4k
Xin Fang China 29 324 0.1× 231 0.1× 102 0.1× 1.5k 2.6× 291 0.6× 109 2.6k
Heebal Kim South Korea 35 1.0k 0.3× 119 0.0× 83 0.1× 2.0k 3.6× 68 0.1× 257 5.0k

Countries citing papers authored by Hideki Kondō

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Kondō

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Kondō

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Kondō. A scholar is included among the top collaborators of Hideki Kondō 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 Hideki Kondō. Hideki Kondō 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.
Hyodo, Kiwamu, et al.. (2024). Replication of single viruses across the kingdoms, Fungi, Plantae, and Animalia. Proceedings of the National Academy of Sciences. 121(25). e2318150121–e2318150121. 3 indexed citations
3.
Kondō, Hideki, et al.. (2024). Decoding the RNA virome of the tree parasite Armillaria provides new insights into the viral community of soil‐borne fungi. Environmental Microbiology. 26(2). e16583–e16583. 2 indexed citations
4.
Kondō, Hideki, Miki Fujita, Kiwamu Hyodo, et al.. (2023). Discovery and Genome Characterization of a Closterovirus from Wheat Plants with Yellowing Leaf Symptoms in Japan. Pathogens. 12(3). 358–358. 1 indexed citations
5.
Sun, Liying, et al.. (2023). Identification of a novel dicistro-like virus associated with the roots of tomato plants. Archives of Virology. 168(8). 214–214. 3 indexed citations
6.
Kondō, Hideki, et al.. (2022). A novel deltapartitivirus from red clover. Archives of Virology. 167(4). 1201–1204.
7.
Sato, Yukiyo, Sakae Hisano, Carolina Cornejo, et al.. (2021). A new tetra-segmented splipalmivirus with divided RdRP domains from Cryphonectria naterciae, a fungus found on chestnut and cork oak trees in Europe. Virus Research. 307. 198606–198606. 19 indexed citations
8.
Salaipeth, Lakha, Subha Das, Hideki Kondō, et al.. (2021). Omnipresence of Partitiviruses in Rice Aggregate Sheath Spot Symptom-Associated Fungal Isolates from Paddies in Thailand. Viruses. 13(11). 2269–2269. 6 indexed citations
9.
Jamal, Atif, Nasar Virk, Hussnain Ahmed Janjua, et al.. (2021). Assessment of mycoviral diversity in Pakistani fungal isolates revealed infection by 11 novel viruses of a single strain of Fusarium mangiferae isolate SP1. Journal of General Virology. 102(12). 12 indexed citations
10.
Chiba, Sotaro, et al.. (2020). Cryphonectria nitschkei chrysovirus 1 with unique molecular features and a very narrow host range. Virology. 554. 55–65. 18 indexed citations
12.
Kondō, Hideki, et al.. (2016). IDENTIFICATION OF GENOME RECOMBINATION AMONG APPLE STEM PITTING VIRUS ISOLATES. Journal of Plant Pathology. 98(3). 595–601. 6 indexed citations
14.
Chiba, Sotaro, Hideki Kondō, Akio Tani, et al.. (2011). Widespread Endogenization of Genome Sequences of Non-Retroviral RNA Viruses into Plant Genomes. PLoS Pathogens. 7(7). e1002146–e1002146. 159 indexed citations
15.
Hashimoto, Kenji, Yuki Yoshimura, Hideki Kondō, Hun‐ok Lim, & Atsuo Takanishi. (2010). 2A2-D23 Research on Biped Humanoid Robot as a Human Motion Simulator : 11th Report: Realization of Quick Turn by Using Slipping Motion with Both Feet. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2010(0). _2A2–D23_1. 3 indexed citations
16.
Ogura, Yu, Hiroyuki Aikawa, K. Shimomura, et al.. (2006). Development of a new humanoid robot WABIAN-2. 76–81. 263 indexed citations
17.
Kimura, Tetsuya, Jun Ito, Akihiro Kawano, et al.. (2000). Purification, Characterization, and Molecular Cloning of Acidophilic Xylanase fromPenicilliumsp.40. Bioscience Biotechnology and Biochemistry. 64(6). 1230–1237. 60 indexed citations
18.
Inoue, Toshihiko, Yukiyoshi Okauchi, Yuichi Matsuzaki, et al.. (1998). Identification of a single cytosine base insertion mutation at Arg-597 of the beta subunit of the human epithelial sodium channel in a family with Liddle's disease. European Journal of Endocrinology. 138(6). 691–697. 36 indexed citations
19.
Nishimura, Tsuyoshi, Toshiko Kobayashi, Shiro Hariguchi, et al.. (1993). Scales for Mental State and Daily Living Activities for the Elderly: Clinical Behavioral Scales for Assessing Demented Patients. International Psychogeriatrics. 5(2). 117–134. 46 indexed citations
20.
Kobayashi, Toshiko, et al.. (1988). A new clinical scale for rating of mental states and activities of daily living of the elderly(NM scale and N-ADL).. 17(11). 1653–1668. 21 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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