Hui Yan

1.2k citations
43 papers · 887 · h-index 16

Impact in

Papers in

    • Cardiovascular Syncope and Autonomic Disorders 7
    • Kawasaki Disease and Coronary Complications 4

Hui Yan

42 papers receiving 875 citations

Peers

Hui Yan
Comparison fields: 5 of 78
  • Geriatrics and Gerontology 53
  • Cancer Research 128
  • Surgery 263
  • Neurology 73
  • Cardiology and Cardiovascular Medicine 105
Replace Esmeralda Castelblanco with:
Esmeralda Castelblanco Spain
Kentaro Suda Japan
Anh H. Cao Australia
Lina Wu China
Sung Kwang Park South Korea
Daigo Sawaki Japan
Ileana Badi United Kingdom
Përparim Limani Switzerland
Boda Zhou China
Hui Yan relative to Esmeralda Castelblanco Spain Esmeralda Castelblanco's profile →
Citations per field
00.5×1.5×2×2.4×
Esmeralda Castelblanco · 1×
Citations per year

Countries citing papers authored by Hui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018115
2 201896
3 202155
4 201649
5 201549
6 201849
7 199946
8 202144
9 202134
10 201833
11 202029
12 200523
13 202320
14 201918
15 201916
16 201616
17 201916
18 201715
19 202213
20 201312

About Hui Yan

Hui Yan is a scholar working on Surgery, Neurology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Oncology, having authored 43 papers that have together received 887 indexed citations. Recurring topics across this work include Cardiovascular Syncope and Autonomic Disorders (7 papers), Kawasaki Disease and Coronary Complications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Kruppel-like factors research (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Coronary Artery Anomalies (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Geriatrics and Gerontology (53 citations), Cancer Research (128 citations), Surgery (263 citations), Neurology (73 citations) and Cardiology and Cardiovascular Medicine (105 citations). Hui Yan has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Gang Huang, Jianjun Liu, Li Zhao, Maomei Ruan, Junbao Du, Bei Lei, Cheng Chang, Liang Shi, Liu Liu and Shuxian An. Their work appears in journals such as The Journal of Pediatrics, World Journal of Pediatrics, Frontiers in Cardiovascular Medicine, Frontiers in Pediatrics and Brain 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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