Ming‐Chun Yang

856 citations
41 papers · 557 · h-index 14

Impact in

Papers in

Ming‐Chun Yang

38 papers receiving 551 citations

Peers

Ming‐Chun Yang
Comparison fields: 5 of 93
  • Genetics 63
  • Pulmonary and Respiratory Medicine 162
  • Neurology 40
  • Hematology 52
  • Cancer Research 67
Replace Yasushi Hamaya with:
Yasushi Hamaya Japan
Masaki Honda Japan
Henry Nording Germany
Robert W. Siggins United States
Huiqing Xiu China
Kiyonori Furukawa Japan
Matthew L. Meizlish United States
Bhuvaneswari Sakthivel United States
Susan Tzotzos Austria
Minako Suzuki Japan
Ming‐Chun Yang relative to Yasushi Hamaya Japan Yasushi Hamaya's profile →
Citations per field
00.5×1.5×1.8×
Yasushi Hamaya · 1×
Citations per year

Countries citing papers authored by Ming‐Chun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201280
2 201352
3 201749
4 202343
5 201537
6 201828
7 201023
8 201823
9 202218
10 201817
11 200917
12 201116
13
AKIP1 promotes glioblastoma viability, mobility and chemoradiation resistance via regulating CXCL1 and CXCL8 mediated NF-κB and AKT pathways.
202116
14 201913
15 201613
16 201912
17 201310
18 20239
19 20147
20 20197

About Ming‐Chun Yang

Ming‐Chun Yang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Epidemiology and Genetics, having authored 41 papers that have together received 557 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (4 papers), Glioma Diagnosis and Treatment (4 papers), Iron Metabolism and Disorders (3 papers), RNA regulation and disease (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Coronary Artery Anomalies (3 papers), Neurological diseases and metabolism (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Genetics (63 citations), Pulmonary and Respiratory Medicine (162 citations), Neurology (40 citations), Hematology (52 citations) and Cancer Research (67 citations). Ming‐Chun Yang has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Jiunn‐Ren Wu, Shiguang Zhao, Ikuo Tooyama, Hongkuan Yang, Yu‐Tsun Su, Daijiro Yanagisawa, Ziyi Liu, Lei Teng, Dayong Han and Xiaofeng Chen. Their work appears in journals such as Medicine, Frontiers in Pediatrics, Cell Death Discovery, World Neurosurgery and Frontiers in Cell and Developmental Biology.

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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