Yudai Okuyama

1.8k total citations · 1 hit paper
35 papers, 1.2k citations indexed

About

Yudai Okuyama is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Yudai Okuyama has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 19 papers in Ecology, Evolution, Behavior and Systematics and 18 papers in Molecular Biology. Recurrent topics in Yudai Okuyama's work include Plant and animal studies (17 papers), Plant and Fungal Species Descriptions (11 papers) and Plant Parasitism and Resistance (10 papers). Yudai Okuyama is often cited by papers focused on Plant and animal studies (17 papers), Plant and Fungal Species Descriptions (11 papers) and Plant Parasitism and Resistance (10 papers). Yudai Okuyama collaborates with scholars based in Japan, United States and Taiwan. Yudai Okuyama's co-authors include Makoto Katô, Ryohei Terauchi, Hiroyuki Kanzaki, Noriaki Murakami, Gaëtan Thilliez, Susana Rivas, Jean‐Benoit Morel, Cécile Ribot, Thomas Kroj and Stella Césari and has published in prestigious journals such as Science, The Plant Cell and Ecology.

In The Last Decade

Yudai Okuyama

34 papers receiving 1.2k citations

Hit Papers

The Rice Resistance Protein Pair RGA4/RGA5 Recognizes the... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yudai Okuyama Japan 13 873 488 388 177 168 35 1.2k
Chuanzhu Fan United States 19 748 0.9× 790 1.6× 225 0.6× 115 0.6× 280 1.7× 39 1.2k
Rebecca Lyons Australia 12 1.3k 1.5× 468 1.0× 103 0.3× 176 1.0× 136 0.8× 18 1.4k
Brian G. Murray New Zealand 19 831 1.0× 568 1.2× 396 1.0× 70 0.4× 162 1.0× 51 1.1k
Ester Gaya United Kingdom 18 796 0.9× 264 0.5× 652 1.7× 386 2.2× 79 0.5× 38 1.2k
Norihiro Futamura Japan 20 525 0.6× 518 1.1× 108 0.3× 65 0.4× 156 0.9× 39 851
Marcus Linde Germany 20 910 1.0× 551 1.1× 235 0.6× 230 1.3× 209 1.2× 55 1.2k
Tokuko Ujino‐Ihara Japan 20 613 0.7× 545 1.1× 182 0.5× 143 0.8× 414 2.5× 46 1.0k
T. Rhyker Ranallo-Benavidez United States 3 450 0.5× 571 1.2× 184 0.5× 56 0.3× 269 1.6× 4 1.0k
Eligio Bossolini Switzerland 18 2.3k 2.6× 579 1.2× 336 0.9× 99 0.6× 693 4.1× 19 2.5k
Jane L. Doyle United States 19 992 1.1× 837 1.7× 691 1.8× 122 0.7× 291 1.7× 23 1.6k

Countries citing papers authored by Yudai Okuyama

Since Specialization
Citations

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

Fields of papers citing papers by Yudai Okuyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yudai Okuyama

This figure shows the co-authorship network connecting the top 25 collaborators of Yudai Okuyama. A scholar is included among the top collaborators of Yudai Okuyama 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 Yudai Okuyama. Yudai Okuyama 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.
Okuyama, Yudai, Kenji Fukushima, Satoshi Kakishima, et al.. (2025). Convergent acquisition of disulfide-forming enzymes in malodorous flowers. Science. 388(6747). 656–661. 4 indexed citations
2.
Folk, Ryan A., et al.. (2021). Biogeography and habitat evolution of Saxifragaceae, with a revision of generic limits and a new tribal system. Taxon. 70(2). 263–285. 8 indexed citations
3.
Suetsugu, Kenji, et al.. (2020). The sterile appendix of two sympatric Arisaema species lures each specific pollinator into deadly trap flowers. Ecology. 102(2). e03242–e03242. 11 indexed citations
4.
Mizuno, Takafumi, Yudai Okuyama, & Tsukasa Iwashina. (2018). Flavonoids from Iris sanguinea var. tobataensis and chemotaxonomic and molecular phylogenetic comparisons with Iris sanguinea var. sanguinea.. 44(3). 135–145. 3 indexed citations
5.
Takahashi, Tsutomu, Makoto Ariizumi, Tsutomu Mori, et al.. (2018). Body odour aldehyde reduction by acetic acid bacterial extract including enzymes: alcohol dehydrogenase and aldehyde dehydrogenase. International Journal of Cosmetic Science. 40(4). 425–428. 3 indexed citations
6.
Kakishima, Satoshi & Yudai Okuyama. (2018). Floral scent profiles and flower visitors in species of Asarum series Sakawanum (Aristolochiaceae).. 44(1). 41–51. 6 indexed citations
7.
Kakishima, Satoshi & Yudai Okuyama. (2018). Pollinator assemblages of Arisaema heterocephalum subsp. majus (Araceae), a critically endangered species endemic to Tokunoshima Island, Central Ryukyus.. 44(4). 173–179. 3 indexed citations
10.
Okuyama, Yudai. (2012). Pollination by Fungus Gnats in Mitella formosana (Saxifragaceae). 4 indexed citations
11.
Okuyama, Yudai, et al.. (2012). The Genetic Characteristics of an Endangered Population of Mitella furusei var. subramosa (Saxifragaceae) from Shikoku, Japan. 2 indexed citations
12.
Okuyama, Yudai, Hiroyuki Kanzaki, Akira Abe, et al.. (2011). A multifaceted genomics approach allows the isolation of the rice Pia ‐blast resistance gene consisting of two adjacent NBS‐LRR protein genes. The Plant Journal. 66(3). 467–479. 253 indexed citations
13.
Okuyama, Yudai, Akifumi S. Tanabe, & Masashi Kato. (2011). Entangling Ancient Allotetraploidization in Asian Mitella: An Integrated Approach for Multilocus Combinations. Molecular Biology and Evolution. 29(1). 429–439. 16 indexed citations
14.
Okuyama, Yudai. (2010). Which genus to study? In search of plant genera underrepresented or overrepresented in the research from the flora of Japan.. 36(2). 81–89. 1 indexed citations
15.
Okuyama, Yudai & Makoto Katô. (2009). Unveiling cryptic species diversity of flowering plants: successful biological species identification of Asian Mitella using nuclear ribosomal DNA sequences. BMC Evolutionary Biology. 9(1). 105–105. 40 indexed citations
16.
Katô, Makoto, et al.. (2008). Plant–pollinator interactions in tropical monsoon forests in Southeast Asia. American Journal of Botany. 95(11). 1375–1394. 49 indexed citations
17.
Okuyama, Yudai, Noriyuki Fujii, Atsushi Kawakita, et al.. (2004). Nonuniform Concerted Evolution and Chloroplast Capture: Heterogeneity of Observed Introgression Patterns in Three Molecular Data Partition Phylogenies of Asian Mitella (Saxifragaceae). Molecular Biology and Evolution. 22(2). 285–296. 139 indexed citations
18.
Katô, Makoto & Yudai Okuyama. (2004). Changes in the biodiversity of a deciduous forest ecosystem caused by an increase in the Sika deer population at Ashiu, Japan. Kyoto University Research Information Repository (Kyoto University). 29(4). 437–448. 31 indexed citations
19.
Okuyama, Yudai, Makoto Katô, & Noriaki Murakami. (2004). Pollination by fungus gnats in four species of the genus Mitella (Saxifragaceae). Botanical Journal of the Linnean Society. 144(4). 449–460. 42 indexed citations
20.
Kikuchi, Shogo & Yudai Okuyama. (1964). Studies on trichuriasis. I. Ecological study on Trichuris vulpis and histopathological changes caused by it.. Kiseichūgaku zasshi. 13(1). 11–24. 1 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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