Jun Sese
Impact in
- Health Informatics top 2%
-
- Computational Drug Discovery Methods
Papers in
-
- Gene expression and cancer classification 12
- Bioinformatics and Genomic Networks 10
- Genomics and Phylogenetic Studies 9
- RNA and protein synthesis mechanisms 7
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 4
- Genetics 13
- Co-authors
- Shinichi Morishita (14 shared papers)Kentaro Tomii (1 shared paper)Masashi Sugiyama (7 shared papers)Kentaro K. Shimizu (16 shared papers)Shinichi Nakajima (2 shared papers)Tsuyoshi Idé (2 shared papers)Rie Shimizu‐Inatsugi (13 shared papers)Hideya Kawaji (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Bioinformatics (3 papers)EMBO Reports (3 papers)Scientific Reports (3 papers)BMC Genomics (3 papers)
- Partner nations
- JapanSwitzerlandUnited States
In The Last Decade
Jun Sese
87 papers receiving 3.9k citations
Jun Sese's Hit Papers
Peers
Comparison fields: 5 of 162
- Health Informatics 84
- Computational Theory and Mathematics 600
- Molecular Biology 1.9k
- Artificial Intelligence 627
- Cancer Research 209
Countries citing papers authored by Jun Sese
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
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.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐seq data Hit paper breakdown → | 2018 | 486 |
| 2 | Compound–protein interaction prediction with end-to-end learning of neural networks for graphs and sequences Hit paper breakdown → | 2018 | 483 |
| 3 | 2009 | 217 | |
| 4 | 2001 | 206 | |
| 5 | 2019 | 191 | |
| 6 | 2006 | 189 | |
| 7 | 2001 | 163 | |
| 8 | 2000 | 150 | |
| 9 | 2020 | 145 | |
| 10 | 2001 | 137 | |
| 11 | 2016 | 93 | |
| 12 | 2009 | 90 | |
| 13 | 2014 | 85 | |
| 14 | 2002 | 82 | |
| 15 | 2016 | 75 | |
| 16 | 2013 | 69 | |
| 17 | 2020 | 66 | |
| 18 | Approximating mutual information by maximum likelihood density ratio estimation | 2008 | 57 |
| 19 | 2020 | 48 | |
| 20 | 2003 | 43 |
About Jun Sese
Jun Sese is a scholar working on Molecular Biology, Genetics, Plant Science, Information Systems and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Data Mining Algorithms and Applications (11 papers), Chromosomal and Genetic Variations (10 papers), Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (7 papers), Genomics and Chromatin Dynamics (6 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Health Informatics (84 citations), Computational Theory and Mathematics (600 citations), Molecular Biology (1.9k citations), Artificial Intelligence (627 citations) and Cancer Research (209 citations). Jun Sese has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Shinichi Morishita, Kentaro Tomii, Masashi Sugiyama, Kentaro K. Shimizu, Shinichi Nakajima, Tsuyoshi Idé, Rie Shimizu‐Inatsugi, Hideya Kawaji, Go Shioi and Tazro Ohta. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, EMBO Reports, Scientific 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.