Kun Xiang

1.9k citations
62 papers · 931 · h-index 14

Impact in

Papers in

    • Cardiac pacing and defibrillation studies 8
    • Atrial Fibrillation Management and Outcomes 7
    • Cardiac Arrhythmias and Treatments 7
    • Tissue Engineering and Regenerative Medicine 5
    • Cardiac Structural Anomalies and Repair 4

Kun Xiang

51 papers receiving 917 citations

Peers

Kun Xiang
Comparison fields: 5 of 131
  • Endocrine and Autonomic Systems 81
  • Genetics 272
  • Developmental Neuroscience 32
  • Health, Toxicology and Mutagenesis 93
  • Cancer Research 96
Replace Xiong Yang with:
Xiong Yang China
Yongjun Luo China
Nobukazu Okimoto Japan
Hisashi Shinoda Japan
Seong Eun Lee South Korea
Laure Bernard France
Xu Ma China
M. Nakata Japan
Sergio Domenico Gadau Italy
Sachi Kuwahara Japan
Kun Xiang relative to Xiong Yang China Xiong Yang's profile →
Citations per field
00.5×3.9×
Xiong Yang · 1×
Citations per year

Countries citing papers authored by Kun Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun Xiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Xiang Line = papers co-authored together Kun Xiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012185
2 2013158
3 2013121
4 202142
5 201141
6 202241
7 202140
8 200436
9 200734
10 201528
11 202222
12 202019
13 201619
14 202114
15 200812
16 202111
17 20219
18 20228
19 20188
20 20238

About Kun Xiang

Kun Xiang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 62 papers that have together received 931 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (8 papers), Atrial Fibrillation Management and Outcomes (7 papers), Cardiac Arrhythmias and Treatments (7 papers), Congenital Heart Disease Studies (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Cardiac Structural Anomalies and Repair (4 papers), RNA modifications and cancer (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (81 citations), Genetics (272 citations), Developmental Neuroscience (32 citations), Health, Toxicology and Mutagenesis (93 citations) and Cancer Research (96 citations). Kun Xiang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Elizabeth I. Tietz, Bing Su, Xuebin Qi, Bianba, Hong Shi, Chaoying Cui, Tianyi Wu, Gonggalanzi, Yi Peng and Ouzhuluobu. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Heart Rhythm, Circulation, Molecular Biology and Evolution and Current Pharmaceutical Design.

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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