Fen Yang

44 papers receiving 807 citations

Fen Yang's Hit Papers

Prevalence of depression in older adults: A systematic review and meta-analysis 2022 · 246 citations
2460+1+2Years since publication50100150200

Peers

Fen Yang
Comparison fields: 5 of 128
  • Neuropsychology and Physiological Psychology 14
  • Health 63
  • Parasitology 52
  • Issues, ethics and legal aspects 8
  • Modeling and Simulation 30
Replace Fatemeh Ghaffari with:
Fatemeh Ghaffari Iran
Maria Elena Guariento Brazil
Edward Leung Hong Kong
Vinayak K. Nahar United States
A. E. Aiello United States
Jaffer Shah United States
Elizabeth Forster Australia
Sally Mtenga Tanzania
Hendrik D. de Heer United States
Andrew Arjun Sayampanathan Singapore
Fen Yang relative to Fatemeh Ghaffari Iran Fatemeh Ghaffari's profile →
Citations per field
00.5×
Fatemeh Ghaffari · 1×
Citations per year

Countries citing papers authored by Fen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of depression in older adults: A systematic review and meta-analysis
Hit paper breakdown →
2022246
2 201864
3 202151
4 201951
5 201751
6 201233
7 201732
8 202030
9 201621
10 200719
11 202016
12 201316
13 202315
14 201715
15 202314
16 202212
17 202111
18 20239
19 20239
20 20209

About Fen Yang

Fen Yang is a scholar working on Health, Applied Psychology, General Health Professions, Epidemiology and Psychiatry and Mental health, having authored 48 papers that have together received 821 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (5 papers), Parasites and Host Interactions (3 papers), Catalytic Processes in Materials Science (3 papers), Dementia and Cognitive Impairment Research (3 papers), Catalysis and Oxidation Reactions (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Nutritional Studies and Diet (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (14 citations), Health (63 citations), Parasitology (52 citations), Issues, ethics and legal aspects (8 citations) and Modeling and Simulation (30 citations). Fen Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chongming Yang, Man Wu, Xueyang Zhao, Ting Hu, Zhaoyang Li, Li Luo, Yuncui Wang, Zhenfang Xiong, Hui Hu and Xinhong Zhu. Their work appears in journals such as Psychiatry Research, General Hospital Psychiatry, Scientific Reports, PLoS ONE and International Journal of Environmental Research and Public Health.

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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