Long Feng

474 total citations
34 papers, 228 citations indexed

About

Long Feng is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Long Feng has authored 34 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Long Feng's work include Nutrition and Health in Aging (5 papers), Frailty in Older Adults (4 papers) and Head and Neck Cancer Studies (4 papers). Long Feng is often cited by papers focused on Nutrition and Health in Aging (5 papers), Frailty in Older Adults (4 papers) and Head and Neck Cancer Studies (4 papers). Long Feng collaborates with scholars based in China, United States and Philippines. Long Feng's co-authors include Yali Zhao, Shihui Fu, Zeguo Feng, Yao Yao, Hong Zhang, Zhipeng Xu, Yujie Zhang, Tingting Chen, Ping Ping and Yu Pei and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Journal of Affective Disorders.

In The Last Decade

Long Feng

28 papers receiving 226 citations

Peers

Long Feng
Comparison fields: 5 of 88
  • Physiology 67
  • Surgery 47
  • Cardiology and Cardiovascular Medicine 37
  • Molecular Biology 35
  • Internal Medicine 23
Replace Simon Lorrain with:
Simon Lorrain France
Jelena Stevanović Netherlands
Dushin Jeong South Korea
Dávid Major Hungary
F. Ablondi Italy
Н. А. Шостак Russia
Andrea Lucena Reis Brazil
Michael J. Schoenfeld United States
Vinícius P. Garcia Brazil
Simon Lorrain France View profile →
Citations per field, relative to Long Feng
Long Feng · 1×
Citations per year, relative to Long Feng
Long Feng · 1×

Countries citing papers authored by Long Feng

Since Specialization
Citations

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

Fields of papers citing papers by Long Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Long Feng. A scholar is included among the top collaborators of Long Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Long Feng. Long Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 3
3 3
4 3
5 3
6 21
7 2
8 0
9 5
10 6
11 7
12 1
13 0
14 36
15 15
16 6
17 9
18
Investigation and comparison of psychological and behavioral characteristics of rural left-behind children and un-left-behind children and the intervention countermeasures
1
19 1
20 16

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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