Nian‐Qing Shi

48 total papers · 1.1k total citations
28 papers, 902 citations indexed

About

Nian‐Qing Shi is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Nian‐Qing Shi has authored 28 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Pathology and Forensic Medicine and 8 papers in Biomedical Engineering. Recurrent topics in Nian‐Qing Shi's work include Cardiac Ischemia and Reperfusion (12 papers), Mechanical Circulatory Support Devices (5 papers) and Fungal and yeast genetics research (5 papers). Nian‐Qing Shi is often cited by papers focused on Cardiac Ischemia and Reperfusion (12 papers), Mechanical Circulatory Support Devices (5 papers) and Fungal and yeast genetics research (5 papers). Nian‐Qing Shi collaborates with scholars based in United States, China and Spain. Nian‐Qing Shi's co-authors include Thomas W. Jeffries, Jonathan C. Makielski, Elizabeth M. McNally, Bin Ye, J. C. Makielski, Michael Levin, Stacie Kroboth, J.M. Cruz, Fred Sherman and Bin Ye and has published in prestigious journals such as Circulation, Nature Communications and Circulation Research.

In The Last Decade

Nian‐Qing Shi

28 papers receiving 873 citations

Author Peers

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

Author						Papers	Cites
Nian‐Qing Shi	612	279	239	142	125	28	902
Eric Raddatz	393 0.6×	58 0.2×	117 0.5×	292 2.1×	11 0.1×	44	808
Bruno Becker	195 0.3×	44 0.2×	47 0.2×	124 0.9×	110 0.9×	30	712
Edwin Janssen	509 0.8×	33 0.1×	125 0.5×	131 0.9×	14 0.1×	14	793
Yoshiaki TERASHIMA	222 0.4×	20 0.1×	202 0.8×	117 0.8×	39 0.3×	41	784
Melvyn Lieberman	479 0.8×	74 0.3×	48 0.2×	440 3.1×	21 0.2×	30	928
Thomais Markou	446 0.7×	32 0.1×	76 0.3×	281 2.0×	19 0.2×	28	767
Katsumasa Irie	491 0.8×	78 0.3×	18 0.1×	32 0.2×	41 0.3×	38	899
Qizhi Gong	548 0.9×	66 0.2×	62 0.3×	83 0.6×	19 0.2×	31	1.0k
Qunying Yuan	642 1.0×	42 0.2×	78 0.3×	338 2.4×	19 0.2×	23	892
María C. García	591 1.0×	72 0.3×	58 0.2×	187 1.3×	7 0.1×	44	916

Countries citing papers authored by Nian‐Qing Shi

Since Specialization

Citations

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

Fields of papers citing papers by Nian‐Qing Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nian‐Qing Shi. 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 Nian‐Qing Shi. The network helps show where Nian‐Qing Shi may publish in the future.

Co-authorship network of co-authors of Nian‐Qing Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Nian‐Qing Shi. A scholar is included among the top collaborators of Nian‐Qing Shi 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 Nian‐Qing Shi. Nian‐Qing Shi 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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