Yon‐Dschun Ko
Impact in
- Geriatrics and Gerontology top 5%
- Family Practice top 5%
Papers in
- Oncology 25
- Cancer Treatment and Pharmacology 7
- Co-authors
- Thomas BrüningVolker HarthBeate PeschHiltrud BrauchUte HamannChristina JustenhovenSylvia RabsteinChristian Baisch
- Journals
- Journal of Clinical Oncology (9 papers)Breast Cancer Research and Treatment (7 papers)Journal of Clinical Medicine (3 papers)Journal of Toxicology and Environmental Health (2 papers)Cancers (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Yon‐Dschun Ko
61 papers receiving 895 citations
Peers
Comparison fields: 5 of 98
- Geriatrics and Gerontology 74
- Family Practice 41
- Pharmacology 116
- Oncology 277
- Cancer Research 140
Countries citing papers authored by Yon‐Dschun Ko
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
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
The 25 scholars most cited alongside Yon‐Dschun Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2022 | 30 | |
| 3 | 2021 | 12 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 1 | |
| 11 | 2016 | 6 | |
| 12 | 2012 | 5 | |
| 13 | 2012 | 7 | |
| 14 | 2011 | 14 | |
| 15 | 2010 | 13 | |
| 16 | 2008 | 72 | |
| 17 | 2007 | 23 | |
| 18 | Breast cancer risk is linked with ERCC2 genotypes and a corresponding haplotype in a German population | 2005 | 1 |
| 19 | 2004 | 22 | |
| 20 | 2001 | 1 |
About Yon‐Dschun Ko
Yon‐Dschun Ko is a scholar working on Geriatrics and Gerontology, Oncology, Pharmacology, Cancer Research and Genetics, having authored 63 papers that have together received 917 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Brain Metastases and Treatment (7 papers), Glutathione Transferases and Polymorphisms (7 papers), Cancer Treatment and Pharmacology (7 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Geriatrics and Gerontology (74 citations), Family Practice (41 citations), Pharmacology (116 citations), Oncology (277 citations) and Cancer Research (140 citations). Yon‐Dschun Ko has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Thomas Brüning, Volker Harth, Beate Pesch, Hiltrud Brauch, Ute Hamann, Christina Justenhoven, Sylvia Rabstein, Christian Baisch, Ulrich Jaehde and Thomas J. Neuhaus. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer Research and Treatment, Journal of Clinical Medicine, Journal of Toxicology and Environmental Health and Cancers.
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.