Jun Sese

7.0k citations

82 papers · 3.6k indexed · 2 hit papers · h-index 27

Impact in

Health Informatics top 2%
Computational Theory and Mathematics top 1%
- Computational Drug Discovery Methods

Papers in ⓘ

Molecular Biology 52
- Genomics and Phylogenetic Studies 12
- Gene expression and cancer classification 12
- Bioinformatics and Genomic Networks 10
- RNA and protein synthesis mechanisms 9
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 5
Genetics 16

Co-authors: Kentaro Tomii (1 shared paper)Shinichi Morishita (12 shared papers)Masashi Sugiyama (6 shared papers)Kentaro K. Shimizu (16 shared papers)Rie Shimizu‐Inatsugi (13 shared papers)Shinichi Nakajima (1 shared paper)Tsuyoshi Idé (1 shared paper)Hideya Kawaji (2 shared papers)
Journals: Nucleic Acids Research (4 papers)Scientific Reports (3 papers)Bioinformatics (3 papers)EMBO Reports (3 papers)BMC Genomics (3 papers)
Partner nations: Japan Switzerland United States

In The Last Decade

Jun Sese

80 papers receiving 3.5k citations

Hit Papers

align trajectories log scale

Ch IP ‐Atlas: a data‐mining suite powered by full integration of public Ch IP ‐seq data 2018 · 472 citations

Peers

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-authors

The 25 scholars most cited alongside Jun Sese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Sese Line = papers co-authored together Jun Sese links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Ch IP ‐Atlas: a data‐mining suite powered by full integration of public Ch IP ‐seq data EMBO Reports ·Shinya Oki, Tazro Ohta, Go Shioi, Hideki Hatanaka, Osamu Ogasawara, Yoshihiro Okuda, Hideya Kawaji, Ryo Nakaki, Jun Sese, Chikara Meno Hit paper breakdown →	2018	472
2	Compound–protein interaction prediction with end-to-end learning of neural networks for graphs and sequences Bioinformatics ·Masashi Tsubaki, Kentaro Tomii, Jun Sese Hit paper breakdown →	2018	442
3	Semi-supervised local Fisher discriminant analysis for dimensionality reduction Machine Learning ·Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese	2009	205
4	Identification and Characterization of the Potential Promoter Regions of 1031 Kinds of Human Genes Genome Research ·Yutaka Suzuki, Tatsuhiko Tsunoda, Jun Sese, Hirotoshi Taira, Junko Mizushima‐Sugano, Hiroko Hata, Toshio Ota, Takao Isogai, Toshihiro Tanaka, Yusuke Nakamura, Akira Suyama, Yoshiyuki Sakaki, Shinichi Morishita, Kousaku Okubo, Sumio Sugano	2001	198
5	A large-scale full-length cDNA analysis to explore the budding yeast transcriptome Proceedings of the National Academy of Sciences ·Fumihito Miura, Noriko Kawaguchi, Jun Sese, Atsushi Toyoda, Masahira Hattori, Shinichi Morishita, Takashi Ito	2006	177
6	Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy Scientific Reports ·Masayoshi Yamada, Yutaka Saito, Hitoshi Imaoka, Masahiro Saiko, Shigemi Yamada, Hiroko Kondo, Hiroyuki Takamaru, Taku Sakamoto, Jun Sese, Aya Kuchiba, Taro Shibata, Ryuji Hamamoto	2019	176
7	Identification and Characterization of the Potential Promoter Regions of 1031 Kinds of Human Genes Genome Research ·Yutaka Suzuki, Tatsuhiko Tsunoda, Jun Sese, Hirotoshi Taira, Junko Mizushima‐Sugano, Hiroko Hata, Toshiyuki Ota, Takao Isogai, Toshihiro Tanaka, Yoshihiko Nakamura, Akira Suyama, Yoshiyuki Sakaki, Shinichi Morishita, Kousaku Okubo, Sumio Sugano	2001	157
8	Diverse transcriptional initiation revealed by fine, large‐scale mapping of mRNA start sites EMBO Reports ·Yutaka Suzuki, Hirotoshi Taira, Tatsuhiko Tsunoda, Junko Mizushima‐Sugano, Jun Sese, Hiroko Hata, Toshio Ota, Takao Isogai, Toshihiro Tanaka, Shinichi Morishita, Kousaku Okubo, Yoshiyuki Sakaki, Yusuke Nakamura, Akira Suyama, Sumio Sugano	2001	134
9	Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine Cancers ·Ryuji Hamamoto, Kruthi Suvarna, Masayoshi Yamada, Kazuma Kobayashi, Norio Shinkai, Mototaka Miyake, Masamichi Takahashi, Shunichi Jinnai, Ryo Shimoyama, Akira Sakai, Ken Takasawa, Amina Bolatkan, Kanto Shozu, Ai Dozen, Hidenori Machino, Satoshi Takahashi, Ken Asada, Masaaki Komatsu, Jun Sese, Syuzo Kaneko	2020	126
10	Transversing itemset lattices with statistical metric pruning Shinichi Morishita, Jun Sese	2000	98
11	Genome assembly and annotation of Arabidopsis halleri, a model for heavy metal hyperaccumulation and evolutionary ecology Molecular Ecology Resources ·Roman Briskine, Timothy Paape, Rie Shimizu‐Inatsugi, Tomoaki Nishiyama, Satoru Akama, Jun Sese, Kentaro K. Shimizu	2016	86
12	Mutual information estimation reveals global associations between stimuli and biological processes BMC Bioinformatics ·Taiji Suzuki, Masashi Sugiyama, Takafumi Kanamori, Jun Sese	2009	82
13	Genome-wide quantification of homeolog expression ratio revealed nonstochastic gene regulation in synthetic allopolyploid Arabidopsis Nucleic Acids Research ·Satoru Akama, Rie Shimizu‐Inatsugi, Kentaro K. Shimizu, Jun Sese	2014	82
14	Plant adaptive radiation mediated by polyploid plasticity in transcriptomes Molecular Ecology ·Rie Shimizu‐Inatsugi, Aika Terada, Kyosuke Hirose, Hiroshi Kudoh, Jun Sese, Kentaro K. Shimizu	2016	72
15	Statistical significance of combinatorial regulations Proceedings of the National Academy of Sciences ·Aika Terada, Mariko Okada, Koji Tsuda, Jun Sese	2013	62
16	Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data Biomolecules ·Satoshi Takahashi, Ken Asada, Ken Takasawa, Ryo Shimoyama, Akira Sakai, Amina Bolatkan, Norio Shinkai, Kazuma Kobayashi, Masaaki Komatsu, Syuzo Kaneko, Jun Sese, Ryuji Hamamoto	2020	62
17	KDD Cup 2001 report ACM SIGKDD Explorations Newsletter ·Jie Cheng, Christos Hatzis, Hisashi Hayashi, Mark-A. Krogel, Shinichi Morishita, David Page, Jun Sese	2002	60
18	Approximating mutual information by maximum likelihood density ratio estimation Tokyo Tech Research Repository (Tokyo Institute of Technology) ·Taiji Suzuki, Masashi Sugiyama, Jun Sese, Takafumi Kanamori	2008	52
19	Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer Biomolecules ·Ken Asada, Kazuma Kobayashi, Samuel Joutard, Masashi Tubaki, Satoshi Takahashi, Ken Takasawa, Masaaki Komatsu, Syuzo Kaneko, Jun Sese, Ryuji Hamamoto	2020	44
20	Gene expression profile in human leukocytes Blood ·Shin-ichi Hashimoto, Shigenori Nagai, Jun Sese, Takuji Suzuki, Aya Obata, Taku Sato, Nobuaki Toyoda, Hong-Yan Dong, Makoto Kurachi, Tomoyuki Nagahata, Ken-ichi Shizuno, Shinichi Morishita, Kouji Matsushima	2003	43

About Jun Sese

Jun Sese is a scholar working on Molecular Biology, Genetics, Plant Science, Artificial Intelligence and Information Systems, having authored 82 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Gene expression and cancer classification (12 papers), Chromosomal and Genetic Variations (12 papers), Bioinformatics and Genomic Networks (10 papers), RNA and protein synthesis mechanisms (9 papers), Data Mining Algorithms and Applications (8 papers), Genomics and Chromatin Dynamics (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Health Informatics (75 citations), Computational Theory and Mathematics (519 citations), Molecular Biology (1.9k citations), Artificial Intelligence (518 citations) and Cancer Research (226 citations). Jun Sese has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Kentaro Tomii, Shinichi Morishita, Masashi Sugiyama, Kentaro K. Shimizu, Rie Shimizu‐Inatsugi, Shinichi Nakajima, Tsuyoshi Idé, Hideya Kawaji, Chikara Meno and Osamu Ogasawara. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Bioinformatics, EMBO Reports and BMC Genomics.

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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