Ming‐Long Tsai

1000 citations
10 papers · 786 · h-index 9

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • Protein Degradation and Inhibitors 1
    • TGF-β signaling in diseases 1
    • Cancer Cells and Metastasis 3

Ming‐Long Tsai

10 papers receiving 773 citations

Peers

Ming‐Long Tsai
Comparison fields: 5 of 87
  • Oncology 395
  • Cancer Research 199
  • Geriatrics and Gerontology 33
  • Molecular Biology 455
  • Biotechnology 38
Replace Kai‐Hsi Lu with:
Kai‐Hsi Lu Taiwan
Yang Shi United States
Robert J. Vanner Canada
Yongfen Min United States
Marty Brown South Korea
Donghai Huang China
Panimaya Jeffreena Miranda Australia
Shihong Zhao China
Amir Barzegar Behrooz Iran
Ming‐Long Tsai relative to Kai‐Hsi Lu Taiwan Kai‐Hsi Lu's profile →
Citations per field
00.5×1.5×
Kai‐Hsi Lu · 1×
Citations per year

Countries citing papers authored by Ming‐Long Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Long Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2008421
2 200968
3 200957
4 201955
5 201648
6 201044
7 200943
8 200738
9 20248
10 20214

About Ming‐Long Tsai

Ming‐Long Tsai is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pharmacology and Genetics, having authored 10 papers that have together received 786 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Cancer Mechanisms and Therapy (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Autophagy in Disease and Therapy (1 paper), Protein Degradation and Inhibitors (1 paper), TGF-β signaling in diseases (1 paper), MicroRNA in disease regulation (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Oncology (395 citations), Cancer Research (199 citations), Geriatrics and Gerontology (33 citations), Molecular Biology (455 citations) and Biotechnology (38 citations). Ming‐Long Tsai has collaborated with scholars based in Taiwan and Malaysia. Frequent co-authors include Shih‐Hwa Chiou, Yi‐Yen Lee, Yi‐Wei Chen, Hung‐Hai Ku, Yuh-Lih Chang, Chien-Ying Wang, Tung‐Hu Tsai, Chorng–Kuang How, Shih‐Chieh Hung and Yu‐Chih Chen. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, International Journal of Medical Sciences, Acta Biomaterialia, International Journal of Radiation Oncology*Biology*Physics and Child s Nervous System.

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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