Davy Deng

455 citations
14 papers · 291 · h-index 7

Impact in

Papers in

    • Glioma Diagnosis and Treatment 6
    • Genomic variations and chromosomal abnormalities 1
    • Genetic Associations and Epidemiology 1
    • HIV Research and Treatment 1

Davy Deng

12 papers receiving 285 citations

Peers

Davy Deng
Comparison fields: 5 of 64
  • Applied Psychology 86
  • Genetics 26
  • Social Psychology 41
  • General Health Professions 40
  • Clinical Psychology 37
Replace Fernando Suárez‐Obando with:
Fernando Suárez‐Obando Colombia
Katianne M. Howard Sharp United States
André Samson Canada
Michelle Miller United States
Costel Vasile Siserman Romania
Thinh Nguyen Australia
Elisa Camussi Italy
Rianne AP van der Zanden Netherlands
Sai Ho Wong Singapore
Stephen Arthey Australia
Davy Deng relative to Fernando Suárez‐Obando Colombia Fernando Suárez‐Obando's profile →
Citations per field
00.5×2×4×5.1×
Fernando Suárez‐Obando · 1×
Citations per year

Countries citing papers authored by Davy Deng

Since Specialization
Citations

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

Fields of papers citing papers by Davy Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020102
2 202151
3 202137
4 202225
5 202222
6 202320
7 202315
8 20237
9 20225
10 20213
11 20243
12 20251
13 20250
14 20260

About Davy Deng

Davy Deng is a scholar working on Genetics, Virology, Social Psychology, Oncology and Applied Psychology, having authored 14 papers that have together received 291 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Genomic variations and chromosomal abnormalities (1 paper), Digital Mental Health Interventions (1 paper), HIV Research and Treatment (1 paper), Mental Health via Writing (1 paper), Mental Health Treatment and Access (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Applied Psychology (86 citations), Genetics (26 citations), Social Psychology (41 citations), General Health Professions (40 citations) and Clinical Psychology (37 citations). Davy Deng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include John A. Naslund, Ricardo Araya, Ke Sai, Yinsheng Chen, Yang Bai, Chengcheng Guo, Yonggao Mou, Ye Cheng, Hui Li and Sheng Zhong. Their work appears in journals such as Journal of Inflammation Research, PLoS Pathogens, Journal of Psychiatric Research, The Lancet Microbe and Cell Reports Medicine.

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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