Haiyun Ling

22 total papers · 1.2k total citations
18 papers, 978 citations indexed

About

Haiyun Ling is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Haiyun Ling has authored 18 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Haiyun Ling's work include Cardiac electrophysiology and arrhythmias (11 papers), Ion channel regulation and function (9 papers) and Cardiac Ischemia and Reperfusion (6 papers). Haiyun Ling is often cited by papers focused on Cardiac electrophysiology and arrhythmias (11 papers), Ion channel regulation and function (9 papers) and Cardiac Ischemia and Reperfusion (6 papers). Haiyun Ling collaborates with scholars based in United States, Netherlands and Germany. Haiyun Ling's co-authors include Joan Heller Brown, Donald M. Bers, Yusu Gu, Nancy D. Dalton, Kirk L. Peterson, Michael Grimm, Laëtitia Pereira, Christopher K. Means, Tong Zhang and Ju Chen and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Haiyun Ling

18 papers receiving 965 citations

Author Peers

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

Author Last Decade Papers Cites
Haiyun Ling 735 583 140 123 81 18 978
Julieta Palomeque 680 0.9× 704 1.2× 119 0.8× 110 0.9× 105 1.3× 31 1.0k
Matilde Said 576 0.8× 548 0.9× 232 1.7× 115 0.9× 84 1.0× 23 876
Jian Shan 762 1.0× 729 1.3× 74 0.5× 120 1.0× 57 0.7× 18 1.1k
Doris Gehring 626 0.9× 495 0.8× 67 0.5× 98 0.8× 144 1.8× 17 1.0k
Wusheng Luo 936 1.3× 710 1.2× 66 0.5× 116 0.9× 102 1.3× 15 1.2k
Z. Maggie Huang 755 1.0× 470 0.8× 165 1.2× 136 1.1× 116 1.4× 11 1.1k
B. Julie He 546 0.7× 369 0.6× 99 0.7× 68 0.6× 89 1.1× 13 852
Jonathan L. Respress 728 1.0× 717 1.2× 80 0.6× 114 0.9× 63 0.8× 15 1.1k
Paari Dominic Swaminathan 576 0.8× 581 1.0× 105 0.8× 82 0.7× 91 1.1× 19 1.0k
Michael A. Tones 562 0.8× 222 0.4× 135 1.0× 198 1.6× 116 1.4× 27 1.0k

Countries citing papers authored by Haiyun Ling

Since Specialization
Citations

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

Fields of papers citing papers by Haiyun Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyun Ling

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