Yon‐Dschun Ko

2.8k total citations
4 papers, 152 citations indexed

About

Yon‐Dschun Ko is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yon‐Dschun Ko has authored 4 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Yon‐Dschun Ko's work include Epigenetics and DNA Methylation (2 papers), HER2/EGFR in Cancer Research (1 paper) and RNA modifications and cancer (1 paper). Yon‐Dschun Ko is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), HER2/EGFR in Cancer Research (1 paper) and RNA modifications and cancer (1 paper). Yon‐Dschun Ko collaborates with scholars based in Germany and United States. Yon‐Dschun Ko's co-authors include Hiltrud Brauch, Sylvia Rabstein, Christian Baisch, Volker Harth, Christiane Barbara Pierl, Beate Pesch, Christina Justenhoven, Thomas Brüning, Ute Hamann and Jürgen Dippon and has published in prestigious journals such as International Journal of Cancer, Breast Cancer Research and Treatment and Epigenomics.

In The Last Decade

Yon‐Dschun Ko

4 papers receiving 147 citations

Peers

Yon‐Dschun Ko
Celine Hong United States
Katherine McKenzie United States
Julie Albertus United States
Andrew Berchuck United States
Benjamin L. Morris United States
Ana Bojorquez-Gomez United States
Shannon A. Slater United States
Celine Hong United States
Yon‐Dschun Ko
Citations per year, relative to Yon‐Dschun Ko Yon‐Dschun Ko (= 1×) peers Celine Hong

Countries citing papers authored by Yon‐Dschun Ko

Since Specialization
Citations

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

Fields of papers citing papers by Yon‐Dschun Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yon‐Dschun Ko. 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 Yon‐Dschun Ko. The network helps show where Yon‐Dschun Ko may publish in the future.

Co-authorship network of co-authors of Yon‐Dschun Ko

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

All Works

4 of 4 papers shown
1.
Bermejo, Justo Lorenzo, Guanmengqian Huang, Mehdi Manoochehri, et al.. (2018). Long Intergenic Noncoding RNA 299 Methylation in Peripheral Blood is a Biomarker for Triple-Negative Breast Cancer. Epigenomics. 11(1). 81–93. 28 indexed citations
2.
Dünnebier, Thomas, Justo Lorenzo Bermejo, Susanne Haas, et al.. (2009). Common variants in the UBC9 gene encoding the SUMO‐conjugating enzyme are associated with breast tumor grade. International Journal of Cancer. 125(3). 596–602. 34 indexed citations
3.
Justenhoven, Christina, Christiane Barbara Pierl, Susanne Haas, et al.. (2008). Polymorphic loci of E2F2, CCND1 and CCND3 are associated with HER2 status of breast tumors. International Journal of Cancer. 124(9). 2077–2081. 23 indexed citations
4.
Justenhoven, Christina, Ute Hamann, Falk Schubert, et al.. (2007). Breast cancer: a candidate gene approach across the estrogen metabolic pathway. Breast Cancer Research and Treatment. 108(1). 137–149. 67 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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