Nian‐Qing Shi

1.2k citations
28 papers · 906 indexed · h-index 18
Topics
Cardiac Ischemia and Reperfusion (12 papers)Mechanical Circulatory Support Devices (5 papers)Fungal and yeast genetics research (5 papers)
Partner nations
United StatesChinaSpain

In The Last Decade

Nian‐Qing Shi

28 papers receiving 877 citations

Peers

Nian‐Qing Shi
Comparison fields: 5 of 78
  • Molecular Biology 613
  • Biomedical Engineering 279
  • Pathology and Forensic Medicine 245
  • Cardiology and Cardiovascular Medicine 145
  • Plant Science 125
Replace Qizhi Gong with:
Qizhi Gong United States
Yongping Chai China
A. Leyssens Belgium
Coral L. Murrant Canada
Deivid C. Rodrigues Brazil
Orla M. McGuinness United Kingdom
Zhuo Zhao China
Yanxiang Cao China
Erica M. TenBroek United States
Lillian L. Peracchia United States
Nian‐Qing Shi relative to Qizhi Gong United States Qizhi Gong's profile →
Citations per field
00.5×6.6×
Qizhi Gong · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 69
2 8
3 8
4 10
5 23
6 10
7 25
8 48
9
Abstract 15914: Mitochondrial Short Form Sulfonylurea Receptors-2A Splice Variant Protects Hearts From Ischemia Reperfusion Injury.
1
10 17
11 37
12 41
13 1
14 79
15 77
16 38
17 50
18 52
19 3
20 16

About Nian‐Qing Shi

Nian‐Qing Shi is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Aging, having authored 28 papers that have together received 906 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (12 papers), Mechanical Circulatory Support Devices (5 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (245 citations), Developmental Neuroscience (49 citations) and Emergency Medicine (91 citations). Nian‐Qing Shi has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Thomas W. Jeffries, Jonathan C. Makielski, Bin Ye, Elizabeth M. McNally, J. C. Makielski, Michael Levin, Stacie Kroboth, Fred Sherman, J.M. Cruz and Bin Ye. Their work appears in journals such as Circulation, Nature Communications and Circulation Research.

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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