Kaiying Yang

1.9k citations
64 papers · 1.2k · h-index 19

Impact in

  • Surgery top 5%
    • Vascular Malformations and Hemangiomas
  • Oncology top 10%
    • Vascular Tumors and Angiosarcomas

Papers in

    • Vascular Malformations and Hemangiomas 41
    • Pediatric Hepatobiliary Diseases and Treatments 3
    • Vascular Tumors and Angiosarcomas 12

Kaiying Yang

59 papers receiving 1.2k citations

Peers

Kaiying Yang
Comparison fields: 5 of 78
  • Surgery 839
  • Oncology 269
  • Neurology 146
  • Pathology and Forensic Medicine 116
  • Physiology 163
Replace Przemysław Przewratil with:
Przemysław Przewratil Poland
Christian Todd Minshall United States
Juan Ignacio de Diego Spain
Jung Je Park South Korea
Emmanuel Pham France
Alain Delarue France
Hironori Ishibashi Japan
Brittany Salter Canada
Anthony Lemaire United States
Satoshi Yoshimura Japan
Kaiying Yang relative to Przemysław Przewratil Poland Przemysław Przewratil's profile →
Citations per field
00.5×2×4×5.3×
Przemysław Przewratil · 1×
Citations per year

Countries citing papers authored by Kaiying Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kaiying Yang, 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 Kaiying Yang Line = papers co-authored together Kaiying Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017108
2 2020106
3 202281
4 201876
5 202167
6 201858
7 202257
8 202148
9 202334
10 201931
11 200730
12 201929
13 202327
14 202422
15 202222
16 202322
17 201821
18 202121
19 201820
20 201719

About Kaiying Yang

Kaiying Yang is a scholar working on Surgery, Oncology, Neurology, Pathology and Forensic Medicine and Infectious Diseases, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vascular Malformations and Hemangiomas (41 papers), Vascular Tumors and Angiosarcomas (12 papers), Tumors and Oncological Cases (7 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Parvovirus B19 Infection Studies (4 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Tuberous Sclerosis Complex Research (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Surgery (839 citations), Oncology (269 citations), Neurology (146 citations), Pathology and Forensic Medicine (116 citations) and Physiology (163 citations). Kaiying Yang has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Yi Ji, Siyuan Chen, Xuepeng Zhang, Jiangyuan Zhou, Guoyan Lu, Chunchao Xia, Zhicheng Xu, Bo Yun Xiang, Tong Qiu and Xue Gong. Their work appears in journals such as Orphanet Journal of Rare Diseases, Journal of the American Academy of Dermatology, Frontiers in Pediatrics, The Journal of Dermatology and International Journal of Cancer.

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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