Yu Feng

1.1k citations
52 papers · 858 · h-index 15

Impact in

Papers in

    • Lung Cancer Research Studies 13
    • Cancer Immunotherapy and Biomarkers 9
    • Colorectal Cancer Treatments and Studies 5
    • Lung Cancer Treatments and Mutations 15
    • Lung Cancer Diagnosis and Treatment 4

Yu Feng

49 papers receiving 834 citations

Peers

Yu Feng
Comparison fields: 5 of 100
  • Radiation 92
  • Pulmonary and Respiratory Medicine 264
  • Oncology 215
  • Otorhinolaryngology 33
  • Genetics 74
Replace Julia Heß with:
Julia Heß Germany
Yasuhiro Kikuchi Japan
Jia‐Tao Zhang China
Jayne Moquet United Kingdom
Paul Finnon United Kingdom
Sara Gutiérrez‐Enríquez Spain
Young Eun Choi South Korea
Andrew R. Snyder United States
Gillian M. Ross United Kingdom
Hailin Ma China
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Citations per field
00.5×
Julia Heß · 1×
Citations per year

Countries citing papers authored by Yu Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992137
2 1993120
3 202095
4 202051
5 201943
6 202240
7 201732
8 202030
9 202128
10 201427
11 202122
12 202021
13 202315
14 201915
15 198615
16 202213
17 201813
18 202211
19 202310
20 20239

About Yu Feng

Yu Feng is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Plant Science and Surgery, having authored 52 papers that have together received 858 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (15 papers), Lung Cancer Research Studies (13 papers), Cancer Immunotherapy and Biomarkers (9 papers), Rice Cultivation and Yield Improvement (5 papers), Colorectal Cancer Treatments and Studies (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Plant nutrient uptake and metabolism (3 papers) and Effects of Radiation Exposure (3 papers). The work is most often cited by research in Radiation (92 citations), Pulmonary and Respiratory Medicine (264 citations), Oncology (215 citations), Otorhinolaryngology (33 citations) and Genetics (74 citations). Yu Feng has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include L. Clifton Stephens, Guangliang Jiang, K. Kian Ang, Howard D. Thames, Roland Guttenberger, Yue Gao, Yanfang Yang, Timothy E. Schultheiss, L. J. Peters and Roger E. Price. Their work appears in journals such as Radiotherapy and Oncology, Atmosphere, Annals of Translational Medicine, Plant and Soil and Cancer Immunology Immunotherapy.

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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