Ming-Li Hsieh

64 total papers · 874 total citations
52 papers, 677 citations indexed

About

Ming-Li Hsieh is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Urology. According to data from OpenAlex, Ming-Li Hsieh has authored 52 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 15 papers in Molecular Biology and 12 papers in Urology. Recurrent topics in Ming-Li Hsieh's work include Prostate Cancer Treatment and Research (10 papers), Urinary Bladder and Prostate Research (9 papers) and Prostate Cancer Diagnosis and Treatment (8 papers). Ming-Li Hsieh is often cited by papers focused on Prostate Cancer Treatment and Research (10 papers), Urinary Bladder and Prostate Research (9 papers) and Prostate Cancer Diagnosis and Treatment (8 papers). Ming-Li Hsieh collaborates with scholars based in Taiwan, United States and Ireland. Ming-Li Hsieh's co-authors include Jay D. Gralla, Shih‐Tsung Huang, Adeela Syed, Hsin-Chieh Huang, Yu‐Chao Hsu, Yin Tintut, Yu Chen, Shaobo Zhang, Charles Y.F. Young and Phei‐Lang Chang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ming-Li Hsieh

45 papers receiving 664 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming-Li Hsieh 324 202 130 106 82 52 677
E Miyazaki 270 0.8× 53 0.3× 137 1.1× 170 1.6× 16 0.2× 52 727
R. J. Scothorne 112 0.3× 85 0.4× 25 0.2× 192 1.8× 32 0.4× 44 702
Yawei Xu 313 1.0× 37 0.2× 164 1.3× 47 0.4× 15 0.2× 51 756
Naseem Malik 181 0.6× 185 0.9× 79 0.6× 63 0.6× 30 0.4× 23 589
Xiaoqiang Liu 259 0.8× 60 0.3× 205 1.6× 117 1.1× 18 0.2× 64 668
Beata Szymańska 288 0.9× 121 0.6× 20 0.2× 144 1.4× 26 0.3× 49 603
Mandakini Pradhan 81 0.3× 110 0.5× 26 0.2× 114 1.1× 35 0.4× 71 721
M.J. van Zwieten 118 0.4× 55 0.3× 109 0.8× 34 0.3× 12 0.1× 34 562
Shih‐Tsung Huang 164 0.5× 29 0.1× 63 0.5× 101 1.0× 8 0.1× 38 582
Thierry Rousseau 135 0.4× 94 0.5× 126 1.0× 135 1.3× 10 0.1× 81 693

Countries citing papers authored by Ming-Li Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Li Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Li Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Li Hsieh. A scholar is included among the top collaborators of Ming-Li Hsieh 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-Li Hsieh. Ming-Li Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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