Fei Yang

626 citations
57 papers · 356 · h-index 11

Impact in

Papers in

Fei Yang

50 papers receiving 352 citations

Peers

Fei Yang
Comparison fields: 5 of 86
  • Gastroenterology 51
  • Internal Medicine 13
  • Critical Care and Intensive Care Medicine 10
  • Endocrinology, Diabetes and Metabolism 35
  • Radiology, Nuclear Medicine and Imaging 37
Replace Koichi Kodama with:
Koichi Kodama Japan
Julio Galindo Spain
Antonio Parente Italy
Alisa D. Kjærgaard Denmark
Xinyu Zhao China
Murtaza Emre Durakoğlugil Türkiye
V. Fossaluzza Italy
Sang Pyo Kim South Korea
Irit Rubinstein Israel
Fei Yang relative to Koichi Kodama Japan Koichi Kodama's profile →
Citations per field
00.5×11.1×
Koichi Kodama · 1×
Citations per year

Countries citing papers authored by Fei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200240
2 201538
3 202120
4 201520
5 202019
6 202314
7 201413
8 202013
9 202212
10 202210
11 202210
12
[Study on serum organochlorines pesticides (DDTs) level, CYP1A1 genetic polymorphism and risk of breast cancer: a case control study].
200610
13 202310
14 20229
15 20188
16 20258
17 20147
18 20147
19 20247
20
[Long-term effect of cadmium exposure on residents' renal dysfunction: An epidemiologic study].
20156

About Fei Yang

Fei Yang is a scholar working on Surgery, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Internal Medicine and Molecular Biology, having authored 57 papers that have together received 356 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (6 papers), Chronic Myeloid Leukemia Treatments (3 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Genetic Neurodegenerative Diseases (3 papers), Ultrasound in Clinical Applications (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Plant Ecology and Soil Science (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Gastroenterology (51 citations), Internal Medicine (13 citations), Critical Care and Intensive Care Medicine (10 citations), Endocrinology, Diabetes and Metabolism (35 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). Fei Yang has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Jintao Guo, Nan Ge, Guoxin Wang, Sheng Wang, Linlin Feng, Wen Liu, Wenzhuang Ma, Siyu Sun, Xiang Liu and Yu Shi. Their work appears in journals such as Medicine, Journal of Thrombosis and Thrombolysis, Frontiers in Oncology, Clinical Neurology and Neurosurgery and Techniques in Coloproctology.

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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