Ming-Ling Hsu

11 total papers · 441 total citations
10 papers, 386 citations indexed

About

Ming-Ling Hsu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ming-Ling Hsu has authored 10 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Ming-Ling Hsu's work include Hedgehog Signaling Pathway Studies (2 papers), Immunotherapy and Immune Responses (2 papers) and Glioma Diagnosis and Treatment (1 paper). Ming-Ling Hsu is often cited by papers focused on Hedgehog Signaling Pathway Studies (2 papers), Immunotherapy and Immune Responses (2 papers) and Glioma Diagnosis and Treatment (1 paper). Ming-Ling Hsu collaborates with scholars based in Taiwan and United States. Ming-Ling Hsu's co-authors include Yu-Jen Chen, Shengyuan Wang, Ming‐Shi Shiao, Tung‐Hu Tsai, Hui-Ru Shieh, K. S. Clifford Chao, Hsun‐Shuo Chang, Shu‐Ling Fu, Chih‐Jen Chen and Chia‐Yuan Liu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Ming-Ling Hsu

10 papers receiving 378 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-Ling Hsu 206 63 58 58 49 10 386
Nikhil Vad 246 1.2× 35 0.6× 72 1.2× 58 1.0× 56 1.1× 14 418
Yu Ri Jung 136 0.7× 24 0.4× 38 0.7× 27 0.5× 36 0.7× 10 430
Jonathan Eckard 102 0.5× 105 1.7× 60 1.0× 16 0.3× 39 0.8× 10 363
Muhammad Massarwa 113 0.5× 38 0.6× 65 1.1× 77 1.3× 54 1.1× 14 377
Min Chang Oh 167 0.8× 15 0.2× 36 0.6× 62 1.1× 27 0.6× 12 366
Mei‐Whey Hung 170 0.8× 44 0.7× 46 0.8× 14 0.2× 40 0.8× 18 404
Jennifer Savage 99 0.5× 25 0.4× 79 1.4× 55 0.9× 37 0.8× 11 434
Mark F. Ciaccio 282 1.4× 50 0.8× 56 1.0× 13 0.2× 22 0.4× 11 403
Shi Wu 186 0.9× 27 0.4× 15 0.3× 22 0.4× 93 1.9× 15 436
Zhigang Bi 162 0.8× 24 0.4× 32 0.6× 21 0.4× 45 0.9× 10 415

Countries citing papers authored by Ming-Ling Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Ling Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Ling Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Ling Hsu. A scholar is included among the top collaborators of Ming-Ling Hsu 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-Ling Hsu. Ming-Ling Hsu 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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