Ming-Ching Hsieh

23 total papers · 884 total citations
17 papers, 537 citations indexed

About

Ming-Ching Hsieh is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pharmacology. According to data from OpenAlex, Ming-Ching Hsieh has authored 17 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pharmacology. Recurrent topics in Ming-Ching Hsieh's work include Protein purification and stability (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Ming-Ching Hsieh is often cited by papers focused on Protein purification and stability (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Ming-Ching Hsieh collaborates with scholars based in United States. Ming-Ching Hsieh's co-authors include Terrence L. Graham, Jingming Zhang, J. Goldstein, Rahul Srivastava, Barry S. Cooperman, Qinwei Zhou, Joseph K. Liu, Haripada Maity, Krishna M.G. Mallela and Liangjie Tang and has published in prestigious journals such as Biochemistry, Cancer Research and Phytochemistry.

In The Last Decade

Ming-Ching Hsieh

16 papers receiving 509 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-Ching Hsieh 373 220 60 49 47 17 537
Yong Ying 217 0.6× 157 0.7× 26 0.4× 79 1.6× 27 0.6× 25 448
Sibylle Heidelberger 346 0.9× 113 0.5× 32 0.5× 35 0.7× 21 0.4× 11 619
L. David Williams 254 0.7× 81 0.4× 52 0.9× 49 1.0× 14 0.3× 16 574
Michael Weitzhandler 336 0.9× 103 0.5× 99 1.6× 29 0.6× 32 0.7× 17 543
Malaya Bhattacharya 348 0.9× 169 0.8× 45 0.8× 149 3.0× 8 0.2× 31 598
Uwe Knüpfer 399 1.1× 162 0.7× 24 0.4× 48 1.0× 43 0.9× 20 597
Balakumar Vijayakrishnan 369 1.0× 116 0.5× 26 0.4× 56 1.1× 17 0.4× 20 582
L L Hsieh 221 0.6× 45 0.2× 49 0.8× 19 0.4× 64 1.4× 19 610
Wasfi Al‐Azzam 340 0.9× 126 0.6× 51 0.8× 33 0.7× 10 0.2× 17 577
Chih-Hung Chuang 251 0.7× 89 0.4× 95 1.6× 48 1.0× 13 0.3× 34 465

Countries citing papers authored by Ming-Ching Hsieh

Since Specialization
Citations

This map shows the geographic impact of Ming-Ching 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-Ching 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-Ching Hsieh more than expected).

Fields of papers citing papers by Ming-Ching Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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