Max Yan

2.9k citations
12 papers · 1.5k · 1 hit paper · h-index 7

Impact in

  • Oncology top 2%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies

Papers in

Max Yan

11 papers receiving 1.5k citations

Max Yan's Hit Papers

Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers 2009 · 1.1k citations
1.1k0+5+11Years since publication2505007501000

Peers

Max Yan
Comparison fields: 5 of 64
  • Oncology 876
  • Cancer Research 442
  • Molecular Biology 767
  • Genetics 255
  • Immunology 150
Replace Ina Klebba with:
Ina Klebba United States
Frank Feleppa Australia
Eva Schut Netherlands
Christopher J. Sarkisian United States
Varsha Tembe Australia
Stephan Duss Switzerland
Jeff C. Liu Canada
Christopher J. Sterner United States
Wilfried Gouraud France
Martín A. Rivas United States
Max Yan relative to Ina Klebba United States Ina Klebba's profile →
Citations per field
00.5×1.7×
Ina Klebba · 1×
Citations per year

Countries citing papers authored by Max Yan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Max Yan Line = papers co-authored together Max Yan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers
Hit paper breakdown →
20091098
2 2011158
3 201182
4 201049
5 201235
6 201031
7 201512
8 20146
9 20235
10 20073
11 20222
12 20190

About Max Yan

Max Yan is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Neurology and Cancer Research, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Case Reports on Hematomas (1 paper), NF-κB Signaling Pathways (1 paper), BRCA gene mutations in cancer (1 paper), Chemokine receptors and signaling (1 paper), Cell death mechanisms and regulation (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Oncology (876 citations), Cancer Research (442 citations), Molecular Biology (767 citations), Genetics (255 citations) and Immunology (150 citations). Max Yan has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Stephen B. Fox, Di Wu, François Vaillant, David Gyorki, Juliet D. French, Adam H. Hart, Marie-Liesse Asselin-Labat, Geoffrey J. Lindeman, Jane E. Visvader and Bhupinder Pal. 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.

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