Jack X. Yu
- Cancer Research top 0.5%
- Breast Cancer Treatment Studies 4
- Cancer Genomics and Diagnostics 3
- Oncology top 1%
- Molecular Biology top 2%
- Gene expression and cancer classification 5
- Molecular Biology Techniques and Applications 3
- Protein Hydrolysis and Bioactive Peptides 2
- Immunology and Allergy top 5%
-
- BRCA gene mutations in cancer 2
-
- Organic Electronics and Photovoltaics 2
-
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Anieta M. SieuwertsDmitri TalantovYixin WangJan G.M. KlijnJohn A. FoekensMaxime P. LookFei YangMieke Timmermans
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Jack X. Yu
20 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 1.8k
- Oncology 1.8k
- Molecular Biology 3.4k
- Immunology and Allergy 139
- Pulmonary and Respiratory Medicine 705
Countries citing papers authored by Jack X. Yu
This map shows the geographic impact of Jack X. Yu'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 Jack X. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack X. Yu more than expected).
Fields of papers citing papers by Jack X. Yu
This network shows the impact of papers produced by Jack X. Yu. 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 Jack X. Yu. The network helps show where Jack X. Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jack X. Yu, 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 | 2009 | 70 | |
| 2 | Subtypes of Breast Cancer Show Preferential Site of Relapsebreakdown → | 2008 | 622 |
| 3 | 2008 | 5 | |
| 4 | 2007 | 89 | |
| 5 | 2007 | 2 | |
| 6 | 2006 | 319 | |
| 7 | 2006 | 20 | |
| 8 | 2006 | 79 | |
| 9 | 2006 | 98 | |
| 10 | 2005 | 409 | |
| 11 | Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancerbreakdown → | 2005 | 2097 |
| 12 | 2005 | 39 | |
| 13 | 2005 | 2 | |
| 14 | Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancerbreakdown → | 2005 | 949 |
| 15 | 2002 | 28 | |
| 16 | 2000 | 35 | |
| 17 | 2000 | 6 | |
| 18 | 1996 | 46 | |
| 19 | 1995 | 109 | |
| 20 | 1994 | 141 |
About Jack X. Yu
Jack X. Yu is a scholar working on Cancer Research, Neurology, Genetics, Hematology and Immunology and Allergy, having authored 20 papers that have together received 5.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Breast Cancer Treatment Studies (4 papers), Molecular Biology Techniques and Applications (3 papers), Cancer Genomics and Diagnostics (3 papers), BRCA gene mutations in cancer (2 papers), Organic Electronics and Photovoltaics (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (1.8k citations), Molecular Biology (3.4k citations), Immunology and Allergy (139 citations) and Pulmonary and Respiratory Medicine (705 citations). Jack X. Yu has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Anieta M. Sieuwerts, Dmitri Talantov, Yixin Wang, Jan G.M. Klijn, John A. Foekens, Maxime P. Look, Fei Yang, Mieke Timmermans, Yi Zhang and David Atkins. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, The Lancet, Journal of Molecular Diagnostics and 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.