Ko Harada

1.6k total citations
110 papers, 1.2k citations indexed

About

Ko Harada is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Ko Harada has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 32 papers in Genetics and 20 papers in Plant Science. Recurrent topics in Ko Harada's work include Genetic diversity and population structure (21 papers), Plant and Fungal Species Descriptions (16 papers) and Genomics and Phylogenetic Studies (15 papers). Ko Harada is often cited by papers focused on Genetic diversity and population structure (21 papers), Plant and Fungal Species Descriptions (16 papers) and Genomics and Phylogenetic Studies (15 papers). Ko Harada collaborates with scholars based in Japan, United States and Malaysia. Ko Harada's co-authors include Koichi Kamiya, Terumi Mukai, Nguyen Duc Quang, Kenji Yukuhiro, Fumio Otsuka, Hidenori Tachida, E.G. Buss, Gretel Geada López, Tsuneyuki Yamazaki and Phan Nguyen Hong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Ko Harada

103 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ko Harada Japan 20 559 471 343 258 165 110 1.2k
Megan Hall United States 18 428 0.8× 611 1.3× 591 1.7× 493 1.9× 145 0.9× 35 1.7k
Brendan N. Reid United States 17 330 0.6× 591 1.3× 82 0.2× 183 0.7× 539 3.3× 40 1.4k
DW Cooper Australia 21 516 0.9× 791 1.7× 196 0.6× 85 0.3× 128 0.8× 66 2.5k
Karen L. Wilson Australia 25 578 1.0× 126 0.3× 814 2.4× 562 2.2× 234 1.4× 123 2.6k
Timothy D. O’Connor United States 19 593 1.1× 668 1.4× 81 0.2× 57 0.2× 95 0.6× 59 1.6k
Castro Ja Spain 20 445 0.8× 657 1.4× 142 0.4× 155 0.6× 207 1.3× 143 1.6k
Line Skotte Denmark 12 498 0.9× 514 1.1× 67 0.2× 95 0.4× 200 1.2× 19 1.5k
Carol Wilson United States 23 783 1.4× 507 1.1× 642 1.9× 674 2.6× 62 0.4× 99 2.4k
George Howell United States 18 187 0.3× 200 0.4× 180 0.5× 386 1.5× 896 5.4× 30 2.0k
Taylor J. Maxwell United States 16 324 0.6× 409 0.9× 60 0.2× 232 0.9× 71 0.4× 25 876

Countries citing papers authored by Ko Harada

Since Specialization
Citations

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

Fields of papers citing papers by Ko Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ko Harada

This figure shows the co-authorship network connecting the top 25 collaborators of Ko Harada. A scholar is included among the top collaborators of Ko Harada 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 Ko Harada. Ko Harada 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.
Harada, Ko, et al.. (2025). Global trends in idiopathic pulmonary fibrosis mortality rates during 2001–2022. ERJ Open Research. 11(6). 362–2025.
2.
Nishimura, Yoshito, Ko Harada, Hiroki Ito, et al.. (2024). International trends in biliary tract cancer–related mortality, 2000–2022: An observational study of the World Health Organization Mortality Database. Hepatology. 82(3). 626–637. 3 indexed citations
3.
Rachmat, Henti Hendalastuti, Asep Hidayat, Koichi Kamiya, & Ko Harada. (2024). Revealing the Genetic Structure of Indonesia Moluccan Dipterocarps Species, Rubroshorea selanica. International Journal of Agriculture and Biology. 31(3). 183–191.
4.
Harada, Ko, et al.. (2024). Burden of depressive disorders in Vietnam from 1990 to 2019: A secondary analysis of the Global Burden of Disease Study 2019. Journal of Psychiatric Research. 172. 420–426. 1 indexed citations
5.
Harada, Ko, Toshihiro Koyama, & Yuji Yamada. (2024). GLOBAL TRENDS IN FALL-RELATED INJURIES: A THREE-DECADE ANALYSIS. Innovation in Aging. 8(Supplement_1). 838–838.
6.
Koyama, Toshihiro, Michio Yamamoto, Takahiro Niimura, et al.. (2023). International Trends in Adverse Drug Event-Related Mortality from 2001 to 2019: An Analysis of the World Health Organization Mortality Database from 54 Countries. Drug Safety. 47(3). 237–249. 3 indexed citations
7.
Harada, Ko, Hideharu Hagiya, Toshihiro Koyama, et al.. (2023). Trends in childhood obesity in Japan: A nationwide observational study from 2012 to 2021. Clinical Obesity. 14(2). e12636–e12636. 7 indexed citations
8.
Otsuka, Yuki, Kazuki Tokumasu, Yasuhiro Nakano, et al.. (2022). Late-Onset Hypogonadism in a Male Patient with Long COVID Diagnosed by Exclusion of ME/CFS. Medicina. 58(4). 536–536. 8 indexed citations
9.
Koyama, Toshihiro, Hideharu Hagiya, Ko Harada, et al.. (2021). Population-Based Observational Study of Adverse Drug Event-Related Mortality in the Super-Aged Society of Japan. Drug Safety. 44(5). 531–539. 4 indexed citations
10.
Kamiya, Koichi, et al.. (2014). Phylogeographic structure of the commercially important tropical tree species Dryobalanops aromatica Gaertn. F. (Dipterocarpaceae) revealed by microsatellite markers. SHILAP Revista de lepidopterología. 1 indexed citations
11.
12.
Rachmat, Henti Hendalastuti, Koichi Kamiya, & Ko Harada. (2012). Genetic diversity, population structure and conservation implication of the endemic Sumatran lowland dipterocarp tree species (Shorea javanica). International Journal of Biodiversity and Conservation. 4(14). 573–583. 13 indexed citations
13.
Khan, Hilal Musadiq, et al.. (2010). Evaluation of microsatellite markers to discriminate induced mutation lines, hybrid lines and cultigens in chickpea (Cicer arietinum L).. Australian Journal of Crop Science. 4(5). 301–308. 10 indexed citations
14.
Quang, Nguyen Duc, et al.. (2008). Nucleotide variation in Quercus crispula Blume. Heredity. 101(2). 166–174. 34 indexed citations
15.
Kamiya, Koichi, Ko Harada, Hidenori Tachida, & Peter S. Ashton. (2005). Phylogeny of PgiC gene in Shorea and its closely related genera (Dipterocarpaceae), the dominant trees in Southeast Asian tropical rain forests. American Journal of Botany. 92(5). 775–788. 48 indexed citations
16.
Harada, Ko, et al.. (2002). Phylogeographical structure revealed by chloroplast DNA variation in Japanese Beech (Fagus crenata Blume). Heredity. 88(4). 322–329. 95 indexed citations
17.
Yamazaki, Taisuke, et al.. (1995). Studies on the transposition rates of mobile genetic elements in a natural population of Drosophila melanogaster.. Molecular Biology and Evolution. 12(5). 748–58. 26 indexed citations
18.
19.
Yamaguchi, Yumi, Toshiyuki Takano, Tsuneyuki Yamazaki, & Ko Harada. (1994). Molecular analysis of Gpdh null mutations that arose in mutation accumulation experiments in Drosophila melanogaster. Heredity. 73(4). 397–404. 7 indexed citations
20.
Harada, Ko, et al.. (1990). The rare inversion with a P element at the breakpoint maintained in a natural population of Drosophila melanogaster. Genetica. 82(2). 111–115. 11 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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