Zhangyin Ming

44 total papers · 1.6k total citations
39 papers, 1.3k citations indexed

About

Zhangyin Ming is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Zhangyin Ming has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Immunology and 9 papers in Hematology. Recurrent topics in Zhangyin Ming's work include Platelet Disorders and Treatments (8 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers) and Phytochemical Studies and Bioactivities (3 papers). Zhangyin Ming is often cited by papers focused on Platelet Disorders and Treatments (8 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers) and Phytochemical Studies and Bioactivities (3 papers). Zhangyin Ming collaborates with scholars based in China, United States and United Kingdom. Zhangyin Ming's co-authors include Jizhou Xiang, Aodi He, Xiaoru Duan, Hongxiang Chen, Xinxin Liu, Chao Liu, Wenliang Zha, Jiliang Wu, Dan Fan and Shuang Guo and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Zhangyin Ming

38 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Zhangyin Ming 549 234 186 174 152 39 1.3k
Takafumi Nakao 496 0.9× 201 0.9× 102 0.5× 120 0.7× 140 0.9× 59 1.3k
M. Canavesi 397 0.7× 218 0.9× 119 0.6× 362 2.1× 284 1.9× 32 1.5k
Carl Whatling 383 0.7× 226 1.0× 107 0.6× 247 1.4× 274 1.8× 44 1.5k
Leonardo A. Moraes 709 1.3× 264 1.1× 109 0.6× 133 0.8× 259 1.7× 30 1.5k
Johan F. Koster 589 1.1× 216 0.9× 92 0.5× 155 0.9× 133 0.9× 47 1.6k
Herminia González‐Navarro 643 1.2× 344 1.5× 140 0.8× 160 0.9× 226 1.5× 59 1.7k
Karel Chalupský 494 0.9× 215 0.9× 150 0.8× 96 0.6× 227 1.5× 55 1.5k
Karleen S. Callahan 644 1.2× 203 0.9× 181 1.0× 94 0.5× 256 1.7× 27 1.5k
Dong Yin 759 1.4× 94 0.4× 186 1.0× 198 1.1× 305 2.0× 64 1.6k
Tomonari Koike 500 0.9× 274 1.2× 113 0.6× 281 1.6× 280 1.8× 45 1.6k

Countries citing papers authored by Zhangyin Ming

Since Specialization
Citations

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

Fields of papers citing papers by Zhangyin Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangyin Ming

This figure shows the co-authorship network connecting the top 25 collaborators of Zhangyin Ming. A scholar is included among the top collaborators of Zhangyin Ming 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 Zhangyin Ming. Zhangyin Ming 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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2026