Fan Yang

13.3k citations
491 papers · 8.4k indexed · 1 hit paper · h-index 45

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Aging top 1%

Papers in

Fan Yang

452 papers receiving 8.3k citations

Hit Papers

Lung cancer organoids analyzed on microwell arrays predict drug responses of patients within a week 2021 · 187 citations
187202120262022202450100150

Peers

Fan Yang
Comparison fields: 5 of 180
  • Cancer Research 1.9k
  • Aging 180
  • Pulmonary and Respiratory Medicine 2.1k
  • Oncology 1.6k
  • Molecular Biology 3.1k
Replace Wei Chen with:
Wei Chen China
Hyun Soo Kim South Korea
Osamu Ogawa Japan
Jennifer E. Van Eyk United States
Qing Zhang China
Jian Gu United States
Hiroshi Tanaka Japan
Michael Torbenson United States
Shuang Huang China
Pascal J. Goldschmidt‐Clermont United States
Fan Yang relative to Wei Chen China Wei Chen's profile →
Citations per field
00.5×1.5×2.5×
Wei Chen · 1×
Citations per year

Countries citing papers authored by Fan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20252
3 20240
4 20240
5 20243
6 20245
7 20240
8 20240
9 20243
10 20234
11 20230
12 20232
13 20226
14 20229
15
High Expression of lncRNA HEIH is Helpful in the Diagnosis of Non-Small Cell Lung Cancer and Predicts Poor Prognosis
202210
16 202116
17 202063
18
An EGFR-Amplified Cervical Squamous Cell Carcinoma Patient with Pulmonary Metastasis Benefits from Afatinib: A Case Report
20202
19 2019159
20 201861

About Fan Yang

Fan Yang is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Microbiology and Radiology, Nuclear Medicine and Imaging, having authored 491 papers that have together received 8.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (88 papers), Lung Cancer Treatments and Mutations (86 papers), Cancer Genomics and Diagnostics (38 papers), Radiomics and Machine Learning in Medical Imaging (34 papers), Cancer-related molecular mechanisms research (32 papers), RNA modifications and cancer (27 papers), Lung Cancer Research Studies (25 papers) and Cancer Immunotherapy and Biomarkers (23 papers). The work is most often cited by research in Cancer Research (1.9k citations), Aging (180 citations), Pulmonary and Respiratory Medicine (2.1k citations), Oncology (1.6k citations) and Molecular Biology (3.1k citations). Fan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kezhong Chen, Guanchao Jiang, Jun Wang, Jun Wang, Xu Dong Zhang, Chen Chen Jiang, Peter Hersey, Mantang Qiu, Xizhao Sui and Rick F. Thorne. Their work appears in journals such as Frontiers in Oncology, European Journal of Cardio-Thoracic Surgery, Lung Cancer, Journal of Thoracic Oncology and BMC 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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