Ying Zhai

62 total papers · 1.6k total citations
38 papers, 1.1k citations indexed

About

Ying Zhai is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ying Zhai has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ying Zhai's work include Receptor Mechanisms and Signaling (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Adipose Tissue and Metabolism (4 papers). Ying Zhai is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Adipose Tissue and Metabolism (4 papers). Ying Zhai collaborates with scholars based in China, United States and New Zealand. Ying Zhai's co-authors include James G. Granneman, Anish Konkar, Jean E. Lachowicz, Carolyn Foster, Madhu Chintala, Eric L. Gustafson, Donald N. Cook, Sérgio A. Lira, Marvin Bayne and Susan J. Abbondanzo and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Water Research.

In The Last Decade

Ying Zhai

33 papers receiving 1.1k 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 Zhai 410 299 209 191 166 38 1.1k
Jun‐Jang Jin 230 0.6× 165 0.6× 139 0.7× 73 0.4× 130 0.8× 46 981
Mie‐Jae Im 498 1.2× 189 0.6× 161 0.8× 215 1.1× 94 0.6× 32 1.3k
Jiangning Yang 329 0.8× 229 0.8× 279 1.3× 540 2.8× 63 0.4× 38 1.3k
Roger D. Nolan 515 1.3× 355 1.2× 47 0.2× 159 0.8× 166 1.0× 29 1.4k
Jyoti Disa 493 1.2× 141 0.5× 61 0.3× 183 1.0× 386 2.3× 36 1.2k
João Bosco Pesquero 239 0.6× 171 0.6× 68 0.3× 211 1.1× 144 0.9× 35 916
Paul Fransen 431 1.1× 634 2.1× 109 0.5× 343 1.8× 95 0.6× 61 1.4k
Sidney S. Murphree 313 0.8× 421 1.4× 101 0.5× 188 1.0× 67 0.4× 26 1.1k
Hideaki Kusaka 475 1.2× 126 0.4× 229 1.1× 214 1.1× 40 0.2× 36 1.1k
Deshandra M. Raidoo 243 0.6× 151 0.5× 51 0.2× 162 0.8× 144 0.9× 38 1.2k

Countries citing papers authored by Ying Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Ying Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Zhai

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