Fen Feng

1.5k total citations · 2 hit papers
42 papers, 1.1k citations indexed

About

Fen Feng is a scholar working on Experimental and Cognitive Psychology, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Fen Feng has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Experimental and Cognitive Psychology, 11 papers in Pharmacology and 10 papers in Cognitive Neuroscience. Recurrent topics in Fen Feng's work include Sleep and related disorders (10 papers), Apelin-related biomedical research (9 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (8 papers). Fen Feng is often cited by papers focused on Sleep and related disorders (10 papers), Apelin-related biomedical research (9 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (8 papers). Fen Feng collaborates with scholars based in China, United States and United Kingdom. Fen Feng's co-authors include Jialin Wang, Chizimuzo T.C. Okoli, Man Jin, Wanqing Xie, Li Zeng, Ping Tang, Huijuan He, Yonggang Zhang, Jùnwén Lǐ and Linxi Chen and has published in prestigious journals such as European Journal of Pharmacology, Medicine and Journal of Psychiatric Research.

In The Last Decade

Fen Feng

40 papers receiving 1.0k citations

Hit Papers

The prevalence of compassion satisfaction and compassion ... 2019 2026 2021 2023 2021 2019 50 100 150 200

Peers

Fen Feng
Comparison fields: 5 of 114
  • General Health Professions 375
  • Clinical Psychology 299
  • Cognitive Neuroscience 199
  • Experimental and Cognitive Psychology 187
  • Pharmacology 183
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Terry D. Schneekloth United States View profile →
Citations per field, relative to Fen Feng
Fen Feng · 1×
Citations per year, relative to Fen Feng
Fen Feng · 1×

Countries citing papers authored by Fen Feng

Since Specialization
Citations

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

Fields of papers citing papers by Fen Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Fen Feng. A scholar is included among the top collaborators of Fen 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 Fen Feng. Fen 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 13
2 27
3 6
4 10
5 9
6 6
7 1
8
The prevalence of compassion satisfaction and compassion fatigue among nurses: A systematic review and meta-analysis breakdown →
205
9 11
10 3
11 4
12 16
13 47
14 39
15 32
16 2
17 19
18 55
19 5
20 101

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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