Feng Yan

641 citations
29 papers · 478 · h-index 12

Impact in

  • Dermatology top 10%
    • Dermatologic Treatments and Research
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Feng Yan

28 papers receiving 471 citations

Peers

Feng Yan
Comparison fields: 5 of 82
  • Dermatology 49
  • Hepatology 30
  • Orthopedics and Sports Medicine 32
  • Rehabilitation 21
  • Radiology, Nuclear Medicine and Imaging 71
Replace Kumi Orita with:
Kumi Orita Japan
Daniel Humberto Pozza Portugal
Thomas D. Franklin United States
Hiroshi Okuno Japan
K. L. Schmidt Germany
Lucian P. Jiga Romania
Teresa Bisucci Australia
Yukihide Nishimura Japan
Chao Wu China
Alessandro Bertolo Switzerland
Feng Yan relative to Kumi Orita Japan Kumi Orita's profile →
Citations per field
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Kumi Orita · 1×
Citations per year

Countries citing papers authored by Feng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Influence of MDR1 gene codon 3435 polymorphisms on outcome of platinum-based chemotherapy for advanced non small cell lung cancer.
201156
2 201648
3 201846
4 201743
5 201939
6 201730
7 201729
8 201826
9
Quantification of skin stiffness in patients with systemic sclerosis using real-time shear wave elastography: a preliminary study.
201926
10 201716
11 202116
12
Carnosic acid regulates cell proliferation and invasion in chronic myeloid leukemia cancer cells via suppressing microRNA-708.
201913
13 202110
14 20219
15 20189
16 20178
17 20198
18 20208
19 20107
20 20206

About Feng Yan

Feng Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 29 papers that have together received 478 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (5 papers), Ultrasound and Hyperthermia Applications (4 papers), Aortic Disease and Treatment Approaches (2 papers), Thyroid Disorders and Treatments (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Infectious Aortic and Vascular Conditions (1 paper) and Moyamoya disease diagnosis and treatment (1 paper). The work is most often cited by research in Dermatology (49 citations), Hepatology (30 citations), Orthopedics and Sports Medicine (32 citations), Rehabilitation (21 citations) and Radiology, Nuclear Medicine and Imaging (71 citations). Feng Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yujia Yang, Li Qiu, Xi Xiang, Liyun Wang, Yuanjiao Tang, Xin‐En Huang, Xü Lin, Pengwei Yan, Yong Jiang and Lingyan Zhang. Their work appears in journals such as Ultrasound in Medicine & Biology, Neuroscience, CNS Neuroscience & Therapeutics, Epilepsy & Behavior and Journal of Medicinal Chemistry.

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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