Zhongfa Yang

938 citations
28 papers · 723 · h-index 16

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Immune Cell Function and Interaction

Papers in

    • Cell death mechanisms and regulation 4
    • Epigenetics and DNA Methylation 2
    • Retinoids in leukemia and cellular processes 2
    • Cytokine Signaling Pathways and Interactions 2

Zhongfa Yang

28 papers receiving 716 citations

Peers

Zhongfa Yang
Comparison fields: 5 of 87
  • Hematology 148
  • Immunology 151
  • Cancer Research 101
  • Molecular Biology 409
  • Genetics 53
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Christina Wunrau Germany
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Lan Shao China
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Zhongfa Yang relative to Christina Wunrau Germany Christina Wunrau's profile →
Citations per field
00.5×1.5×
Christina Wunrau · 1×
Citations per year

Countries citing papers authored by Zhongfa Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongfa Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005114
2 200998
3 200788
4 201473
5 201956
6 200639
7 201826
8 201922
9 201322
10 201821
11 201520
12 202120
13 201520
14 200818
15 202117
16 201215
17 201614
18 20159
19 20119
20 19997

About Zhongfa Yang

Zhongfa Yang is a scholar working on Molecular Biology, Oncology, Immunology, Hematology and Cancer Research, having authored 28 papers that have together received 723 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Immune Response and Inflammation (4 papers), Cell death mechanisms and regulation (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Epigenetics and DNA Methylation (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (148 citations), Immunology (151 citations), Cancer Research (101 citations), Molecular Biology (409 citations) and Genetics (53 citations). Zhongfa Yang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Alan G. Rosmarin, Stephanie Mott, Karen Drumea, Junling Wang, Yaoyu Chen, Cong Peng, Shaoguang Li, Haojian Zhang, Xiaoyuan Chu and Xuejun Zhu. Their work appears in journals such as Blood, The Journal of Immunology, PLoS ONE, Gene and Oncology Reports.

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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