Ying Su

120 total papers · 1.9k total citations
86 papers, 1.3k citations indexed

About

Ying Su is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Ying Su has authored 86 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 17 papers in Epidemiology and 14 papers in Surgery. Recurrent topics in Ying Su's work include Alzheimer's disease research and treatments (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (6 papers). Ying Su is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (6 papers). Ying Su collaborates with scholars based in China, United States and Germany. Ying Su's co-authors include Bo Hu, Paul M. Plotsky, Shenggang Sun, K. V. Thrivikraman, Zhihou Liang, Zhe Luo, Guo-Wei Tu, Chunyang Li, Ling‐Qiang Zhu and Dan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biological Psychiatry.

In The Last Decade

Ying Su

80 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Ying Su 365 309 177 174 160 86 1.3k
Luigi Cipolloni 306 0.8× 232 0.8× 126 0.7× 172 1.0× 136 0.8× 65 1.6k
Yan Yang 604 1.7× 369 1.2× 213 1.2× 99 0.6× 65 0.4× 73 1.3k
Cheng Wang 620 1.7× 173 0.6× 149 0.8× 203 1.2× 159 1.0× 89 1.3k
Limin Wu 461 1.3× 273 0.9× 114 0.6× 202 1.2× 138 0.9× 55 1.3k
Sandra Bauer 375 1.0× 413 1.3× 63 0.4× 171 1.0× 221 1.4× 43 1.7k
Xia Feng 606 1.7× 118 0.4× 126 0.7× 152 0.9× 83 0.5× 127 1.8k
Gabriele Di Sante 675 1.8× 230 0.7× 129 0.7× 262 1.5× 301 1.9× 80 1.8k
Alexios‐Fotios A. Mentis 405 1.1× 342 1.1× 92 0.5× 112 0.6× 154 1.0× 87 1.5k
Zhihan Yan 321 0.9× 238 0.8× 59 0.3× 213 1.2× 190 1.2× 115 1.4k
Yue Lang 651 1.8× 143 0.5× 126 0.7× 186 1.1× 102 0.6× 74 1.3k

Countries citing papers authored by Ying Su

Since Specialization
Citations

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

Fields of papers citing papers by Ying Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Su

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