Yunkai Zhang

180 total papers · 3.1k total citations
95 papers, 2.2k citations indexed

About

Yunkai Zhang is a scholar working on Molecular Biology, Oncology and Computer Networks and Communications. According to data from OpenAlex, Yunkai Zhang has authored 95 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 39 papers in Oncology and 12 papers in Computer Networks and Communications. Recurrent topics in Yunkai Zhang's work include Drug Transport and Resistance Mechanisms (28 papers), Network Security and Intrusion Detection (12 papers) and Cancer therapeutics and mechanisms (11 papers). Yunkai Zhang is often cited by papers focused on Drug Transport and Resistance Mechanisms (28 papers), Network Security and Intrusion Detection (12 papers) and Cancer therapeutics and mechanisms (11 papers). Yunkai Zhang collaborates with scholars based in China, United States and Germany. Yunkai Zhang's co-authors include Zhe‐Sheng Chen, Yi‐Jun Wang, Pranav Gupta, Guan-Nan Zhang, Xingguang Liu, Dong‐Hua Yang, Tanaji T. Talele, Rishil J. Kathawala, Jianfeng Ma and Charles R. Ashby and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Yunkai Zhang

91 papers receiving 2.2k citations

Hit Papers

Rheumatoid arthritis: pat... 2024 2026 2024 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Yunkai Zhang 1.1k 864 227 224 199 95 2.2k
Markos Leggas 1.0k 1.0× 1.1k 1.2× 179 0.8× 190 0.8× 102 0.5× 79 2.5k
Axel Sauerbrey 1.3k 1.2× 1.1k 1.2× 260 1.1× 178 0.8× 201 1.0× 72 2.6k
Scott J. Weir 920 0.9× 553 0.6× 300 1.3× 211 0.9× 186 0.9× 105 2.2k
Hu Liu 1.1k 1.1× 482 0.6× 410 1.8× 305 1.4× 175 0.9× 121 2.6k
Annarica Calcabrini 1.3k 1.2× 832 1.0× 237 1.0× 147 0.7× 135 0.7× 86 2.5k
Yong‐Su Zhen 1.5k 1.4× 654 0.8× 255 1.1× 163 0.7× 234 1.2× 154 2.3k
Cindy H. Chau 1.1k 1.0× 801 0.9× 472 2.1× 548 2.4× 245 1.2× 73 2.8k
Hui Jing 1.4k 1.3× 440 0.5× 298 1.3× 163 0.7× 181 0.9× 94 3.1k
Hongshan Li 855 0.8× 864 1.0× 155 0.7× 234 1.0× 321 1.6× 75 2.3k
Louis Malspeis 1.5k 1.4× 681 0.8× 186 0.8× 151 0.7× 172 0.9× 83 2.9k

Countries citing papers authored by Yunkai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yunkai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunkai Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunkai Zhang. A scholar is included among the top collaborators of Yunkai Zhang 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 Yunkai Zhang. Yunkai Zhang 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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