Junko Oshima

13.5k total citations · 2 hit papers
125 papers, 8.7k citations indexed

About

Junko Oshima is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Junko Oshima has authored 125 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Molecular Biology, 31 papers in Physiology and 20 papers in Plant Science. Recurrent topics in Junko Oshima's work include DNA Repair Mechanisms (80 papers), Nuclear Structure and Function (52 papers) and Genomics and Chromatin Dynamics (35 papers). Junko Oshima is often cited by papers focused on DNA Repair Mechanisms (80 papers), Nuclear Structure and Function (52 papers) and Genomics and Chromatin Dynamics (35 papers). Junko Oshima collaborates with scholars based in United States, Japan and Germany. Junko Oshima's co-authors include George M. Martin, Gerard D. Schellenberg, Ellen M. Wijsman, Ying‐Hui Fu, Chang-En Yu, Matthew D. Gray, Fuki M. Hisama, Lawrence A. Loeb, Jun Nakura and John Mulligan and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Junko Oshima

125 papers receiving 8.5k citations

Hit Papers

Candidate Gene for the Chromosome 1 Familial Alzheimer's ... 1995 2026 2005 2015 1995 1996 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junko Oshima United States 43 6.7k 3.0k 1.2k 940 867 125 8.7k
Chang-En Yu United States 21 2.9k 0.4× 2.3k 0.8× 362 0.3× 752 0.8× 328 0.4× 34 4.7k
Z. Dave Sharp United States 27 4.4k 0.7× 1.9k 0.6× 451 0.4× 1.2k 1.3× 232 0.3× 68 7.3k
Zengqiang Yuan China 51 5.5k 0.8× 952 0.3× 1.0k 0.9× 627 0.7× 198 0.2× 140 8.6k
Salvador Aznar Benitah Spain 44 4.6k 0.7× 993 0.3× 2.0k 1.7× 369 0.4× 298 0.3× 87 7.5k
Tadahiro Kitamura Japan 48 6.5k 1.0× 2.5k 0.8× 579 0.5× 1.4k 1.4× 90 0.1× 130 9.9k
Qing Guo China 40 3.3k 0.5× 2.3k 0.8× 622 0.5× 369 0.4× 221 0.3× 183 6.7k
Han Cho United States 16 3.7k 0.5× 1.2k 0.4× 481 0.4× 371 0.4× 283 0.3× 20 5.6k
Peter Juo United States 20 7.3k 1.1× 537 0.2× 1.3k 1.1× 438 0.5× 141 0.2× 33 8.8k
Ephrat Levy‐Lahad Israel 44 4.0k 0.6× 3.1k 1.0× 718 0.6× 3.2k 3.4× 125 0.1× 163 10.0k
Tinna Stevnsner Denmark 37 3.6k 0.5× 748 0.2× 583 0.5× 501 0.5× 221 0.3× 83 4.9k

Countries citing papers authored by Junko Oshima

Since Specialization
Citations

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

Fields of papers citing papers by Junko Oshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Oshima

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Oshima. A scholar is included among the top collaborators of Junko Oshima 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 Junko Oshima. Junko Oshima 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.
Bejaoui, Yosra, Junko Oshima, Chadi Saad, et al.. (2025). The role of protective genetic variants in modulating epigenetic aging. GeroScience. 47(4). 5995–6004. 2 indexed citations
2.
Acevedo, Nathalie, et al.. (2025). rDNA Copy Number Variation and Methylation During Normal and Premature Aging. Aging Cell. 24(5). e14497–e14497. 2 indexed citations
3.
Hisama, Fuki M., et al.. (2023). Caspase 5 depletion is linked to hyper-inflammatory response and progeroid syndrome. GeroScience. 46(2). 2771–2775. 2 indexed citations
4.
Oshima, Junko, et al.. (2023). Woodhouse–Sakati syndrome in an Indian patient with a novel pathogenic variant. American Journal of Medical Genetics Part A. 194(1). 100–102. 2 indexed citations
5.
Bejaoui, Yosra, Noha A. Yousri, Colette Christiansen, et al.. (2023). Accelerated epigenetic aging and DNA methylation alterations in Berardinelli–Seip congenital lipodystrophy. Human Molecular Genetics. 32(11). 1826–1835. 8 indexed citations
6.
Kandhaya‐Pillai, Renuka, Xiaomeng Yang, Tamar Tchkonia, et al.. (2022). TNF‐α/IFN‐γ synergy amplifies senescence‐associated inflammation and SARS‐CoV‐2 receptor expression via hyper‐activated JAK/STAT1. Aging Cell. 21(6). e13646–e13646. 68 indexed citations
7.
Nasrallah, Mona, et al.. (2022). Werner syndrome in a Lebanese family. American Journal of Medical Genetics Part A. 188(5). 1630–1634. 1 indexed citations
8.
Bejaoui, Yosra, Noha A. Yousri, Junko Oshima, et al.. (2022). DNA methylation signatures in Blood DNA of Hutchinson–Gilford Progeria syndrome. Aging Cell. 21(2). e13555–e13555. 20 indexed citations
9.
Hussain, Iram, Howard B. A. Baum, Jerry R. Greenfield, et al.. (2020). Multisystem Progeroid Syndrome With Lipodystrophy, Cardiomyopathy, and Nephropathy Due to an LMNA p.R349W Variant. Journal of the Endocrine Society. 4(10). bvaa104–bvaa104. 10 indexed citations
10.
Maierhofer, Anna, Julia Flunkert, Junko Oshima, et al.. (2019). Epigenetic signatures of Werner syndrome occur early in life and are distinct from normal epigenetic aging processes. Aging Cell. 18(5). e12995–e12995. 26 indexed citations
11.
Nyunoya, Toru, Martha M. Monick, Aloysius J. Klingelhutz, et al.. (2008). Cigarette Smoke Induces Cellular Senescence via Werner's Syndrome Protein Down-regulation. American Journal of Respiratory and Critical Care Medicine. 179(4). 279–287. 65 indexed citations
12.
Hegele, Robert A. & Junko Oshima. (2007). Phenomics and lamins: From disease to therapy. Experimental Cell Research. 313(10). 2134–2143. 17 indexed citations
13.
Shao, Jing, Lishan Chen, Lin Lee, et al.. (2007). SOD2polymorphisms: unmasking the effect of polymorphism on splicing. BMC Medical Genetics. 8(1). 7–7. 20 indexed citations
14.
Lan, Li, Satoshi Nakajima, Kenshi Komatsu, et al.. (2005). Accumulation of Werner protein at DNA double-strand breaks in human cells. Journal of Cell Science. 118(18). 4153–4162. 111 indexed citations
15.
Browner, Warren S., Arnold Kahn, Elad Ziv, et al.. (2004). The genetics of human longevity. The American Journal of Medicine. 117(11). 851–860. 84 indexed citations
16.
Grandori, Carla, Kou-Juey Wu, Paula Fernández, et al.. (2003). Werner syndrome protein limits MYC-induced cellular senescence. Genes & Development. 17(13). 1569–1574. 146 indexed citations
17.
Chen, Lishan, Shurong Huang, Lin Lee, et al.. (2003). WRN, the protein deficient in Werner syndrome, plays a critical structural role in optimizing DNA repair. Aging Cell. 2(4). 191–199. 118 indexed citations
18.
Martin, George M., Junko Oshima, Matthew D. Gray, & Martin Poot. (1999). What Geriatricians Should Know About the Werner Syndrome. Journal of the American Geriatrics Society. 47(9). 1136–1144. 60 indexed citations
19.
Möser, Michael, Junko Oshima, & Raymond J. Monnat. (1999). WRN mutations in Werner syndrome. Human Mutation. 13(4). 271–279. 68 indexed citations
20.
Oshima, Junko, Chang-En Yu, Michael Boehnke, et al.. (1994). Integrated Mapping Analysis of the Werner Syndrome Region of Chromosome 8. Genomics. 23(1). 100–113. 21 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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