Peng Chen

10.7k citations
176 papers · 3.3k · 1 hit paper · h-index 31

Impact in

Papers in

    • Epigenetics and DNA Methylation 12
    • RNA modifications and cancer 8
    • Advanced biosensing and bioanalysis techniques 6
    • Genetic Associations and Epidemiology 17

Peng Chen

158 papers receiving 3.3k citations

Peng Chen's Hit Papers

Role of estrogen receptors in health and disease 2022 · 149 citations
1490+1+2Years since publication4080120

Peers

Peng Chen
Comparison fields: 5 of 155
  • Biological Psychiatry 75
  • Molecular Biology 1.5k
  • Cancer Research 328
  • Epidemiology 662
  • Genetics 520
Replace Adel Abuzenadah with:
Adel Abuzenadah Saudi Arabia
Giuseppe Castaldo Italy
Wei‐Chiao Chang Taiwan
Kyung Lee United States
Yuan Chen China
Viktória Jeney Hungary
Yanni Wang China
Fuu‐Jen Tsai Taiwan
Qian Zhou China
Peng Chen relative to Adel Abuzenadah Saudi Arabia Adel Abuzenadah's profile →
Citations per field
00.5×3.3×
Adel Abuzenadah · 1×
Citations per year

Countries citing papers authored by Peng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Peng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016287
2 2015203
3 2013199
4
Role of estrogen receptors in health and disease
Hit paper breakdown →
2022149
5 2006137
6 2020134
7 2011107
8 200499
9 201683
10 201865
11 201762
12 201359
13 201059
14 201248
15 201946
16 201946
17 202045
18 201341
19 202039
20 202238

About Peng Chen

Peng Chen is a scholar working on Molecular Biology, Genetics, Epidemiology, Cancer Research and Surgery, having authored 176 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), Genetic Associations and Epidemiology (17 papers), Liver Disease Diagnosis and Treatment (12 papers), MicroRNA in disease regulation (12 papers), Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (8 papers), Reproductive System and Pregnancy (7 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Biological Psychiatry (75 citations), Molecular Biology (1.5k citations), Cancer Research (328 citations), Epidemiology (662 citations) and Genetics (520 citations). Peng Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lirui Wang, Bernd Schnabl, Phillipp Hartmann, Cristina Llorente, Ling Ouyang, Bo Li, Samuel B. Ho, Peter Stärkel, An‐Ming Yang and Joakim Näsvall. Their work appears in journals such as Medicine, Frontiers in Oncology, Frontiers in Endocrinology, International Journal of Molecular Sciences and Frontiers in Nutrition.

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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