Hideki Innan

9.8k total citations · 3 hit papers
112 papers, 6.8k citations indexed

About

Hideki Innan is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Hideki Innan has authored 112 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Genetics, 57 papers in Molecular Biology and 46 papers in Plant Science. Recurrent topics in Hideki Innan's work include Evolution and Genetic Dynamics (32 papers), Chromosomal and Genetic Variations (30 papers) and Genetic diversity and population structure (29 papers). Hideki Innan is often cited by papers focused on Evolution and Genetic Dynamics (32 papers), Chromosomal and Genetic Variations (30 papers) and Genetic diversity and population structure (29 papers). Hideki Innan collaborates with scholars based in Japan, United States and United Kingdom. Hideki Innan's co-authors include Fyodor A. Kondrashov, Ryohei Terauchi, Yuseob Kim, Naohiko T. Miyashita, Kosuke M. Teshima, Akira Abe, Hiroki Takagi, Satoshi Natsume, Muluneh Tamiru and Chikako Mitsuoka and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Hideki Innan

110 papers receiving 6.6k citations

Hit Papers

QTL‐seq: rapid mapping of quantitative trait loci in rice... 2010 2026 2015 2020 2013 2012 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideki Innan Japan 39 3.9k 3.3k 3.0k 512 266 112 6.8k
Zefeng Yang China 35 3.2k 0.8× 3.6k 1.1× 2.6k 0.9× 648 1.3× 523 2.0× 123 6.9k
Justin C. Fay United States 36 1.4k 0.4× 3.4k 1.0× 2.8k 0.9× 358 0.7× 246 0.9× 91 6.4k
Arian F. A. Smit United States 27 4.5k 1.2× 7.9k 2.4× 3.0k 1.0× 481 0.9× 563 2.1× 39 10.4k
Yoko Satta Japan 43 1.2k 0.3× 2.6k 0.8× 2.0k 0.7× 826 1.6× 485 1.8× 138 5.7k
Wesley C. Warren United States 41 1.5k 0.4× 2.9k 0.9× 3.0k 1.0× 600 1.2× 761 2.9× 155 6.5k
Arina D. Omer United States 18 2.2k 0.6× 6.3k 1.9× 1.5k 0.5× 267 0.5× 365 1.4× 23 7.5k
Jean‐Nicolas Volff Germany 41 2.1k 0.5× 3.1k 0.9× 1.8k 0.6× 204 0.4× 305 1.1× 111 4.9k
Xun Gu United States 34 1.2k 0.3× 3.1k 1.0× 1.2k 0.4× 383 0.7× 347 1.3× 106 4.8k
Asao Fujiyama Japan 47 2.4k 0.6× 4.5k 1.4× 2.6k 0.9× 634 1.2× 1.3k 5.0× 143 8.4k
Manyuan Long United States 48 3.4k 0.9× 5.8k 1.8× 2.6k 0.9× 502 1.0× 319 1.2× 132 8.0k

Countries citing papers authored by Hideki Innan

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Innan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Innan

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Innan. A scholar is included among the top collaborators of Hideki Innan 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 Innan. Hideki Innan 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.
Takeuchi, Yayoi, Hisashi Ohtsuki, & Hideki Innan. (2022). Non‐zero‐sum neutrality test for the tropical rain forest community using long‐term between‐census data. Ecology and Evolution. 12(1). e8462–e8462. 1 indexed citations
3.
4.
Govindaraju, Diddahally R., Hideki Innan, & Reiner A. Veitia. (2020). The Muller’s Ratchet and Aging. Trends in Genetics. 36(6). 395–402. 11 indexed citations
5.
Innan, Hideki, Reiner A. Veitia, & Diddahally R. Govindaraju. (2019). Genetic and epigenetic Muller’s ratchet as a mechanism of frailty and morbidity during aging: a demographic genetic model. Human Genetics. 139(3). 409–420. 6 indexed citations
6.
Takuno, Shohei, et al.. (2018). Coalescent framework for prokaryotes undergoing interspecific homologous recombination. Heredity. 120(5). 474–484. 3 indexed citations
7.
Innan, Hideki, et al.. (2017). Simulation framework for generating intratumor heterogeneity patterns in a cancer cell population. PLoS ONE. 12(9). e0184229–e0184229. 13 indexed citations
8.
Fawcett, Jeffrey A., Tetsushi Iida, Shohei Takuno, et al.. (2014). Population Genomics of the Fission Yeast Schizosaccharomyces pombe. PLoS ONE. 9(8). e104241–e104241. 32 indexed citations
9.
Takagi, Hiroki, Akira Abe, Kentaro Yoshida, et al.. (2013). QTL‐seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations. The Plant Journal. 74(1). 174–183. 989 indexed citations breakdown →
10.
Asano, Kenji, Masanori Yamasaki, Shohei Takuno, et al.. (2011). Artificial selection for a green revolution gene during japonica rice domestication. Proceedings of the National Academy of Sciences. 108(27). 11034–11039. 148 indexed citations
11.
Takuno, Shohei, Tomoyuki Kado, Ryuichi P. Sugino, Luay Nakhleh, & Hideki Innan. (2011). Population Genomics in Bacteria: A Case Study of Staphylococcus aureus. Molecular Biology and Evolution. 29(2). 797–809. 30 indexed citations
12.
Yamamichi, Masato, et al.. (2011). An Autosomal Analysis Gives No Genetic Evidence for Complex Speciation of Humans and Chimpanzees. Molecular Biology and Evolution. 29(1). 145–156. 15 indexed citations
13.
Takahashi, Yasuyuki, Kosuke M. Teshima, Shuji Yokoi, Hideki Innan, & Ko Shimamoto. (2009). Variations in Hd1 proteins, Hd3a promoters, and Ehd1 expression levels contribute to diversity of flowering time in cultivated rice. Proceedings of the National Academy of Sciences. 106(11). 4555–4560. 229 indexed citations
14.
Innan, Hideki & Yuseob Kim. (2008). Detecting Local Adaptation Using the Joint Sampling of Polymorphism Data in the Parental and Derived Populations. Genetics. 179(3). 1713–1720. 59 indexed citations
15.
Innan, Hideki. (2006). Modified Hudson–Kreitman–Aguade Test and Two-Dimensional Evaluation of Neutrality Tests. Genetics. 173(3). 1725–1733. 27 indexed citations
16.
Innan, Hideki. (2006). The Effect of Gene Flow on the Coalescent Time in the Human-Chimpanzee Ancestral Population. Molecular Biology and Evolution. 23(5). 1040–1047. 38 indexed citations
17.
Innan, Hideki & Yuseob Kim. (2004). Pattern of polymorphism after strong artificial selection in a domestication event. Proceedings of the National Academy of Sciences. 101(29). 10667–10672. 257 indexed citations
18.
Wiuf, Carsten, Keyan Zhao, Hideki Innan, & Magnus Nordborg. (2004). The Probability and Chromosomal Extent of trans-specific Polymorphism. Genetics. 168(4). 2363–2372. 67 indexed citations
19.
Liman, Emily R. & Hideki Innan. (2003). Relaxed selective pressure on an essential component of pheromone transduction in primate evolution. Proceedings of the National Academy of Sciences. 100(6). 3328–3332. 156 indexed citations
20.
Kawabe, Akira, Hideki Innan, Ryohei Terauchi, & Naohiko T. Miyashita. (1997). Nucleotide polymorphism in the acidic chitinase locus (ChiA) region of the wild plant Arabidopsis thaliana. Molecular Biology and Evolution. 14(12). 1303–1315. 80 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026