Willy Chan

771 citations
8 papers · 626 · h-index 6

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
    • Acute Myeloid Leukemia Research 4
    • Multiple Myeloma Research and Treatments 2

Willy Chan

7 papers receiving 617 citations

Peers

Willy Chan
Comparison fields: 5 of 47
  • Hematology 454
  • Genetics 240
  • Cancer Research 99
  • Immunology 66
  • Rheumatology 41
Replace Nicla Manes with:
Nicla Manes Italy
Aytug Kizilors United Kingdom
I-Ming L. Chen United States
Daniela Garau Italy
K Kagami Japan
Jean-François Spinella Canada
Yukun Chen United States
Shirin Azizidoost Iran
Joanna Schiller Germany
Willy Chan relative to Nicla Manes Italy Nicla Manes's profile →
Citations per field
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Citations per year

Countries citing papers authored by Willy Chan

Since Specialization
Citations

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

Fields of papers citing papers by Willy Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Willy Chan. 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 Willy Chan. The network helps show where Willy Chan may publish in the future.

Co-authors

The 19 scholars most cited alongside Willy Chan, 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 Willy Chan Line = papers co-authored together Willy Chan links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2018175
2 2018155
3 2019117
4 201972
5 202061
6 200545
7 20191
8 20250

About Willy Chan

Willy Chan is a scholar working on Genetics, Hematology, Immunology, Periodontics and Nephrology, having authored 8 papers that have together received 626 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (2 papers), Vasculitis and related conditions (2 papers), Microbial Natural Products and Biosynthesis (1 paper), Cancer Genomics and Diagnostics (1 paper), Synthesis of Indole Derivatives (1 paper) and Hematological disorders and diagnostics (1 paper). The work is most often cited by research in Hematology (454 citations), Genetics (240 citations), Cancer Research (99 citations), Immunology (66 citations) and Rheumatology (41 citations). Willy Chan has collaborated with scholars based in Germany, Japan and Hong Kong. Frequent co-authors include Xiaohong Liu, Xiongyu Wu, Yongcheng Lin, Guangce Jiang, L. L. P. Vrijmoed, Kai‐Uwe Eckardt, Ralph Kettritz, Anthony Rousselle, Friederike Christen and Kaja Hoyer. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, Journal of Clinical Oncology, Haematologica, Nature Communications and Leukemia.

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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