Jun Sese

7.0k total citations · 2 hit papers
82 papers, 3.6k citations indexed

About

Jun Sese is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jun Sese has authored 82 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 16 papers in Genetics and 15 papers in Plant Science. Recurrent topics in Jun Sese's work include Chromosomal and Genetic Variations (12 papers), Genomics and Phylogenetic Studies (12 papers) and Gene expression and cancer classification (12 papers). Jun Sese is often cited by papers focused on Chromosomal and Genetic Variations (12 papers), Genomics and Phylogenetic Studies (12 papers) and Gene expression and cancer classification (12 papers). Jun Sese collaborates with scholars based in Japan, Switzerland and United States. Jun Sese's co-authors include Kentaro Tomii, Shinichi Morishita, Masashi Sugiyama, Kentaro K. Shimizu, Rie Shimizu‐Inatsugi, Tsuyoshi Idé, Shinichi Nakajima, Hideya Kawaji, Hideki Hatanaka and Shinya Oki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jun Sese

80 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ch IP ‐Atlas: a data‐mining suite powered by full integration of public Ch IP ‐seq data

2018 472 citations Shinya Oki, Osamu Ogasawara et al. EMBO Reports profile →
Compound–protein interaction prediction with end-to-end learning of neural networks for graphs and sequences

2018 442 citations Jun Sese et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Sese Japan	27	1.9k	519	518	439	334	82	3.6k
Giancarlo Mauri Italy	33	2.5k 1.3×	810 1.6×	1.0k 2.0×	168 0.4×	257 0.8×	287	4.7k
Yanda Li China	38	2.3k 1.2×	223 0.4×	524 1.0×	337 0.8×	313 0.9×	280	5.6k
Ming Hao United States	26	2.4k 1.3×	577 1.1×	452 0.9×	243 0.6×	434 1.3×	126	5.1k
Alfredo Pulvirenti Italy	34	1.5k 0.8×	291 0.6×	362 0.7×	139 0.3×	253 0.8×	177	3.7k
Shaoliang Peng China	28	1.5k 0.8×	374 0.7×	441 0.9×	168 0.4×	121 0.4×	190	3.1k
Fengfeng Zhou China	31	1.9k 1.0×	168 0.3×	435 0.8×	234 0.5×	154 0.5×	170	3.4k
Jian Peng China	23	2.2k 1.1×	290 0.6×	588 1.1×	195 0.4×	207 0.6×	67	3.9k
Ali Masoudi‐Nejad Iran	34	2.4k 1.2×	961 1.9×	330 0.6×	407 0.9×	205 0.6×	165	3.7k
Ivan G. Costa Germany	39	3.0k 1.5×	227 0.4×	634 1.2×	132 0.3×	327 1.0×	124	4.9k

Countries citing papers authored by Jun Sese

Since Specialization

Citations

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

Fields of papers citing papers by Jun Sese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Sese

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Sese. A scholar is included among the top collaborators of Jun Sese 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 Jun Sese. Jun Sese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Akiyama, Reiko, Takao Goto, Toshiaki Tameshige, et al.. (2023). Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation. Nature Communications. 14(1). 5792–5792. 4 indexed citations

Sese, Jun, Takatoshi Matsuyama, Keisuke Okuno, et al.. (2022). Preliminary study for developing a navigation system for gastric cancer surgery using artificial intelligence. Surgery Today. 52(12). 1753–1758. 6 indexed citations

Akiyama, Reiko, Jianqiang Sun, Masaomi Hatakeyama, et al.. (2020). Fine‐scale empirical data on niche divergence and homeolog expression patterns in an allopolyploid and its diploid progenitor species. New Phytologist. 229(6). 3587–3601. 20 indexed citations

Sun, Jianqiang, Rie Shimizu‐Inatsugi, Hugo Hofhuis, et al.. (2020). A Recently Formed Triploid Cardamine insueta Inherits Leaf Vivipary and Submergence Tolerance Traits of Parents. Frontiers in Genetics. 11. 567262–567262. 12 indexed citations

Ji, Yu, et al.. (2019). Transcriptional regulatory divergence underpinning species-specific learned vocalization in songbirds. PLoS Biology. 17(11). e3000476–e3000476. 18 indexed citations

Matsushima, Ayami, Jun Sese, & Kanako O. Koyanagi. (2019). Biosynthetic Short Neuropeptides: A Rational Theory Based on Experimental Results for the Missing Pain‐Relief Opioid Endomorphin Precursor Gene. ChemBioChem. 20(16). 2054–2058. 4 indexed citations

Kuo, Tony, Masaomi Hatakeyama, Toshiaki Tameshige, Kentaro K. Shimizu, & Jun Sese. (2018). Homeolog expression quantification methods for allopolyploids. Briefings in Bioinformatics. 21(2). 395–407. 23 indexed citations

Oki, Shinya, Go Shioi, Osamu Ogasawara, et al.. (2018). ChIP-Atlas 公開チップ-seqデータの完全統合により駆動されたデータマイニング・スイート【JST・京大機械翻訳】. EMBO Reports. 19(12). 46255. 1 indexed citations

Hirao, Akira S., Yoshihiko Onda, Rie Shimizu‐Inatsugi, et al.. (2017). Cost-Effective Discovery of Nucleotide Polymorphisms in Populations of an Allopolyploid Species Using Pool-Seq. American Journal of Molecular Biology. 7(4). 153–168. 2 indexed citations

10.

Paape, Timothy, Masaomi Hatakeyama, Rie Shimizu‐Inatsugi, et al.. (2016). Conserved but Attenuated Parental Gene Expression in Allopolyploids: Constitutive Zinc Hyperaccumulation in the AllotetraploidArabidopsis kamchatica. Molecular Biology and Evolution. 33(11). 2781–2800. 29 indexed citations

11.

Sese, Jun, et al.. (2014). Statistically significant subgraphs for genome-wide association study. 29–36. 2 indexed citations

12.

Ogura, Atsushi, Masaaki Yoshida, Yuki Okuda, et al.. (2013). Loss of the six3/6 controlling pathways might have resulted in pinhole-eye evolution in Nautilus. Scientific Reports. 3(1). 1432–1432. 22 indexed citations

13.

Sese, Jun, et al.. (2012). RECOT:A tool for the genome coordinate transformation of next-generation sequencing reads between related species. 2012(8). 1–2. 1 indexed citations

14.

Sese, Jun. (2012). Data Analysis of Large-Scale Glycan-Sample Interactions. Trends in Glycoscience and Glycotechnology. 24(137). 122–128. 1 indexed citations

15.

Yu, Chih‐Chieh, Kazuhiro Kobayashi, Chizuru Shikishima, et al.. (2012). Genome-Wide DNA Methylation and Gene Expression Analyses of Monozygotic Twins Discordant for Intelligence Levels. PLoS ONE. 7(10). e47081–e47081. 23 indexed citations

16.

Suzuki, Taiji, Masashi Sugiyama, Takafumi Kanamori, & Jun Sese. (2009). Mutual information estimation reveals global associations between stimuli and biological processes. BMC Bioinformatics. 10(S1). S52–S52. 82 indexed citations

17.

Miura, Fumihito, Noriko Kawaguchi, Jun Sese, et al.. (2006). A large-scale full-length cDNA analysis to explore the budding yeast transcriptome. Proceedings of the National Academy of Sciences. 103(47). 17846–17851. 177 indexed citations

18.

Sese, Jun, Yukinori Kurokawa, Morito Monden, Kikuya Kato, & Shinichi Morishita. (2004). Constrained clusters of gene expression profiles with pathological features. Bioinformatics. 20(17). 3137–3145. 21 indexed citations

19.

Sese, Jun & Shinichi Morishita. (2001). Rank Aggregation Method for Biological Databases. Proceedings Genome Informatics Workshop/Genome informatics. 12. 506–507. 11 indexed citations

20.

Suzuki, Yutaka, Tatsuhiko Tsunoda, Jun Sese, et al.. (2001). Identification and Characterization of the Potential Promoter Regions of 1031 Kinds of Human Genes. Genome Research. 11(5). 677–684. 198 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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