Kun Yan

2.1k citations
72 papers · 1.6k · h-index 21

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 49
    • Liver Disease and Transplantation 9
    • Liver Disease Diagnosis and Treatment 26

Kun Yan

72 papers receiving 1.5k citations

Peers

Kun Yan
Comparison fields: 5 of 91
  • Hepatology 900
  • Epidemiology 584
  • Radiology, Nuclear Medicine and Imaging 343
  • Pulmonary and Respiratory Medicine 371
  • Critical Care and Intensive Care Medicine 52
Replace Zuo‐Feng Xu with:
Zuo‐Feng Xu China
Nagaraj-Setty Holalkere United States
Roberto Iezzi Italy
Cecilia Besa United States
Luca Cova Italy
Mi Hye Yu South Korea
Yanling Zheng China
Hye‐Suk Hong South Korea
F. Cremona Italy
Sergio Venanzio Setola Italy
Kun Yan relative to Zuo‐Feng Xu China Zuo‐Feng Xu's profile →
Citations per field
00.5×4.1×
Zuo‐Feng Xu · 1×
Citations per year

Countries citing papers authored by Kun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004192
2 200793
3 200683
4 200667
5 200661
6 202061
7 202060
8 200659
9 201858
10 202157
11 201853
12 200851
13 200650
14 201346
15 200743
16 200742
17 201536
18 202223
19 201522
20 200720

About Kun Yan

Kun Yan is a scholar working on Hepatology, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Biomedical Engineering, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (49 papers), Liver Disease Diagnosis and Treatment (26 papers), Ultrasound and Hyperthermia Applications (11 papers), Liver Disease and Transplantation (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Pancreatic and Hepatic Oncology Research (8 papers), Ovarian cancer diagnosis and treatment (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Hepatology (900 citations), Epidemiology (584 citations), Radiology, Nuclear Medicine and Imaging (343 citations), Pulmonary and Respiratory Medicine (371 citations) and Critical Care and Intensive Care Medicine (52 citations). Kun Yan has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Minhua Chen, Wei Yang, Ying Dai, Shanshan Yin, Wei Yang, Zhihui Fan, Wei Wu, Ying Dai, Wen Gao and Luigi Solbiati. Their work appears in journals such as Radiology, American Journal of Roentgenology, Hepatology Research, Journal of Ultrasound in Medicine and European Journal of Radiology.

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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