Hui Yang

7.1k citations
135 papers · 4.1k indexed · h-index 35

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 2%

Papers in

    • Acute Myeloid Leukemia Research 69
    • Hematopoietic Stem Cell Transplantation 9
    • Chronic Myeloid Leukemia Treatments 9
    • Mesenchymal stem cell research 8

Hui Yang

131 papers receiving 4.0k citations

Peers

Hui Yang
Comparison fields: 5 of 111
  • Hematology 1.8k
  • Genetics 535
  • Molecular Biology 2.7k
  • Immunology 623
  • Cancer Research 335
Replace Amittha Wickrema with:
Amittha Wickrema United States
Jan Jacob Schuringa Netherlands
Gang Huang United States
Véronique Mansat‐De Mas France
Gerwin Huls Netherlands
Josée Hébert Canada
Masaharu Akiyama Japan
H. Scott Boswell United States
Myriam Alcalay Italy
Susannah Waxman United States
Hui Yang relative to Amittha Wickrema United States Amittha Wickrema's profile →
Citations per field
00.5×1.5×2.3×
Amittha Wickrema · 1×
Citations per year

Countries citing papers authored by Hui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Yang, 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 Hui Yang Line = papers co-authored together Hui Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006380
2 2007297
3 2008194
4 2006184
5 2015176
6 2013173
7 2005128
8 2013125
9 2008124
10 2012124
11 2008121
12 201092
13 200586
14 201086
15 201081
16 202178
17 201377
18 200667
19 201464
20 200861

About Hui Yang

Hui Yang is a scholar working on Hematology, Genetics, Cancer Research, Molecular Biology and Immunology, having authored 135 papers that have together received 4.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (69 papers), Histone Deacetylase Inhibitors Research (31 papers), Epigenetics and DNA Methylation (28 papers), Acute Lymphoblastic Leukemia research (16 papers), RNA modifications and cancer (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Chronic Myeloid Leukemia Treatments (9 papers) and Mesenchymal stem cell research (8 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (535 citations), Molecular Biology (2.7k citations), Immunology (623 citations) and Cancer Research (335 citations). Hui Yang has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Guillermo Garcia‐Manero, Yue Wei, Hagop M. Kantarjian, Zeev Estrov, Blanca Sánchez‐González, Irene Gañán‐Gómez, Jörge E. Cortes, Stefan Faderl, Farhad Ravandi and Jean‐Pierre J. Issa. Their work appears in journals such as Blood, Leukemia, Leukemia Research, Journal of Clinical Oncology and PLoS ONE.

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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