Ming Liao

665 total citations
5 papers, 507 citations indexed

About

Ming Liao is a scholar working on Molecular Biology, Cancer Research and Rehabilitation. According to data from OpenAlex, Ming Liao has authored 5 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Rehabilitation. Recurrent topics in Ming Liao's work include Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers) and Acute Myeloid Leukemia Research (1 paper). Ming Liao is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers) and Acute Myeloid Leukemia Research (1 paper). Ming Liao collaborates with scholars based in China, Taiwan and United States. Ming Liao's co-authors include Jennifer Pittman, Erich Huang, Holly K. Dressman, Andrea Bild, Edwin S. Iversen, Andrew T. Huang, Mike West, Skye Hung‐Chun Cheng, Joseph R. Nevins and Li He and has published in prestigious journals such as The Lancet, Journal of Cellular and Molecular Medicine and Frontiers in Neurology.

In The Last Decade

Ming Liao

5 papers receiving 491 citations

Peers

Ming Liao
Comparison fields: 5 of 63
  • Molecular Biology 347
  • Cancer Research 185
  • Oncology 122
  • Genetics 49
  • Pulmonary and Respiratory Medicine 35
Replace Diogo Ferreira da Costa Patrão with:
Diogo Ferreira da Costa Patrão Brazil
Rupninder Sandhu United States
Martina Vetter Germany
Christine Y. Shiang United States
Spyros Tsavachidis United States
Naif Zaman Canada
Andrew D. Kelly United States
Pedro Marques Ramos Switzerland
Guenter Daxenbichler Austria
Carina Strand Sweden
Diogo Ferreira da Costa Patrão Brazil View profile →
Citations per field, relative to Ming Liao
Ming Liao · 1×
Citations per year, relative to Ming Liao
Ming Liao · 1×

Countries citing papers authored by Ming Liao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Liao. A scholar is included among the top collaborators of Ming Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Liao. Ming Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 6
2 8
3 2
4
BAYESIAN MODELS AND MACHINE LEARNING WITH GENE EXPRESSION ANALYSIS APPLICATIONS
1
5 490

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026