Ming‐Chi Liu

1.0k citations
14 papers · 528 · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 2
    • Chronic Lymphocytic Leukemia Research 2

Ming‐Chi Liu

13 papers receiving 518 citations

Peers

Ming‐Chi Liu
Comparison fields: 5 of 65
  • Hematology 350
  • Genetics 160
  • Cancer Research 78
  • Pathology and Forensic Medicine 83
  • Molecular Biology 235
Replace Wendelien Zeijlemaker with:
Wendelien Zeijlemaker Netherlands
Nina Friesgaard Øbro Denmark
L C Chan United Kingdom
Adam J. Lamble United States
Christopher A.G. Booth United Kingdom
Nichole Helton United States
Marion E. Stone United States
Yusuke Nakauchi United States
Derek Bouman Canada
Asra Ahmed United States
Ming‐Chi Liu relative to Wendelien Zeijlemaker Netherlands Wendelien Zeijlemaker's profile →
Citations per field
00.5×3.5×
Wendelien Zeijlemaker · 1×
Citations per year

Countries citing papers authored by Ming‐Chi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chi Liu. 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 Ming‐Chi Liu. The network helps show where Ming‐Chi Liu may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2010153
2 2001125
3 199585
4 199755
5 200228
6 201616
7 202016
8 201714
9 201313
10 199512
11 19987
12 20153
13 20101
14 20250

About Ming‐Chi Liu

Ming‐Chi Liu is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Experimental and Cognitive Psychology, having authored 14 papers that have together received 528 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Online Learning and Analytics (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Innovative Teaching and Learning Methods (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (350 citations), Genetics (160 citations), Cancer Research (78 citations), Pathology and Forensic Medicine (83 citations) and Molecular Biology (235 citations). Ming‐Chi Liu has collaborated with scholars based in Taiwan and Canada. Frequent co-authors include Hwei‐Fang Tien, Jih‐Luh Tang, Fen‐Yu Lee, Yao‐Chang Chen, Ming‐Ching Shen, Woei Tsay, Chiu‐Hwa Wang, Yee‐Chun Chen, Sou‐Ming Chuang and Kai‐Hsin Lin. Their work appears in journals such as British Journal of Haematology, British Journal of Educational Technology, Thinking Skills and Creativity, Blood and American Journal of Hematology.

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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