MC Liu

1.3k citations
32 papers · 735 · h-index 13

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

MC Liu

31 papers receiving 725 citations

Peers

MC Liu
Comparison fields: 5 of 59
  • Hematology 426
  • Genetics 158
  • Cancer Research 164
  • Oncology 167
  • Otorhinolaryngology 17
Replace N. Bekele with:
N. Bekele United States
Heinz-A. Horst Germany
Prapti A. Patel United States
M Vanrumbeke France
R B Arlinghaus United States
Sujiang Zhang China
M Lübbert Germany
Vera Magistroni Italy
François G. Kavelaars Netherlands
Rhonda E. Ries United States
MC Liu relative to N. Bekele United States N. Bekele's profile →
Citations per field
00.5×4.3×
N. Bekele · 1×
Citations per year

Countries citing papers authored by MC Liu

Since Specialization
Citations

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

Fields of papers citing papers by MC Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010128
2 2015111
3 201685
4 201370
5 201463
6 201049
7 201133
8 201130
9
Characterization of Philadelphia-chromosome-positive acute leukemia by clinical, immunocytochemical, and gene analysis.
199223
10 201822
11
Concomitant chemotherapy and radiotherapy for locally advanced nasopharyngeal carcinoma.
199719
12 202116
13
Intestinal capillariasis: report of a case.
198915
14 20199
15 20178
16 19958
17
Breast-conserving surgery and radiotherapy for early breast cancer.
19968
18 20116
19 20125
20 20195

About MC Liu

MC Liu is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Hematology, having authored 32 papers that have together received 735 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (6 papers), Acute Myeloid Leukemia Research (6 papers), Breast Cancer Treatment Studies (5 papers), Cancer Treatment and Pharmacology (4 papers), Cancer Genomics and Diagnostics (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), HER2/EGFR in Cancer Research (3 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Hematology (426 citations), Genetics (158 citations), Cancer Research (164 citations), Oncology (167 citations) and Otorhinolaryngology (17 citations). MC Liu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ming Yao, S-J Wu, M-H Tseng, C-Y Chen, C-W Liu, Woei Tsay, Bor‐Sheng Ko, Yee‐Chun Chen, Lee Fy and Liang‐In Lin. Their work appears in journals such as Cancer Research, Leukemia, Blood Cancer Journal, Annals of Oncology and British Journal of Cancer.

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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