Max Yan
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
- Oncology 6
- Cancer Cells and Metastasis 2
- Chemokine receptors and signaling 1
-
- Genomics and Chromatin Dynamics 3
- DNA Repair Mechanisms 2
- Co-authors
- Stephen B. Fox (8 shared papers)Natasha C. Forrest (1 shared paper)David Gyorki (1 shared paper)Bhupinder Pal (1 shared paper)Marie-Liesse Asselin-Labat (1 shared paper)Jane E. Visvader (1 shared paper)François Vaillant (1 shared paper)Elgene Lim (1 shared paper)
- Journals
- Breast Cancer Research (3 papers)Pathology (2 papers)Breast Cancer Research and Treatment (2 papers)BMC Cancer (2 papers)Nature Medicine (1 paper)
- Partner nations
- AustraliaUnited KingdomNetherlands
In The Last Decade
Max Yan
11 papers receiving 1.4k citations
Max Yan's Hit Papers
Peers
Comparison fields: 5 of 66
- Oncology 917
- Cancer Research 472
- Molecular Biology 818
- Genetics 270
- Immunology 160
Countries citing papers authored by Max Yan
This map shows the geographic impact of Max Yan'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 Max Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Yan more than expected).
Fields of papers citing papers by Max Yan
This network shows the impact of papers produced by Max Yan. 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 Max Yan. The network helps show where Max Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Yan, 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 | Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers Hit paper breakdown → | 2009 | 1048 |
| 2 | 2011 | 150 | |
| 3 | 2011 | 80 | |
| 4 | 2010 | 48 | |
| 5 | 2012 | 35 | |
| 6 | 2010 | 30 | |
| 7 | 2015 | 12 | |
| 8 | 2014 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2007 | 3 | |
| 11 | 2022 | 1 | |
| 12 | 2019 | 0 |
About Max Yan
Max Yan is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Dermatology, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Breast Cancer Treatment Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), DNA Repair Mechanisms (2 papers), Cancer Cells and Metastasis (2 papers), Cancer and Skin Lesions (2 papers) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Oncology (917 citations), Cancer Research (472 citations), Molecular Biology (818 citations), Genetics (270 citations) and Immunology (160 citations). Max Yan has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Stephen B. Fox, Natasha C. Forrest, David Gyorki, Bhupinder Pal, Marie-Liesse Asselin-Labat, Jane E. Visvader, François Vaillant, Elgene Lim, Lily I. Huschtscha and Geoffrey J. Lindeman. Their work appears in journals such as Breast Cancer Research, Pathology, Breast Cancer Research and Treatment, BMC Cancer and Nature Medicine.
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.