Peng Chen

10.7k total citations · 1 hit paper
176 papers, 3.3k citations indexed

About

Peng Chen is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Peng Chen has authored 176 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 37 papers in Genetics and 32 papers in Epidemiology. Recurrent topics in Peng Chen's work include Cancer-related molecular mechanisms research (17 papers), Genetic Associations and Epidemiology (17 papers) and MicroRNA in disease regulation (12 papers). Peng Chen is often cited by papers focused on Cancer-related molecular mechanisms research (17 papers), Genetic Associations and Epidemiology (17 papers) and MicroRNA in disease regulation (12 papers). Peng Chen collaborates with scholars based in China, United States and Singapore. Peng Chen's co-authors include Bernd Schnabl, Lirui Wang, Phillipp Hartmann, Cristina Llorente, Bo Li, Ling Ouyang, Samuel B. Ho, Peter Stärkel, An‐Ming Yang and Glenn R. Björk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Peng Chen

158 papers receiving 3.3k citations

Hit Papers

Role of estrogen receptors in health and disease 2022 2026 2023 2024 2022 40 80 120

Peers

Peng Chen
Comparison fields: 5 of 155
  • Molecular Biology 1.5k
  • Epidemiology 662
  • Genetics 520
  • Physiology 347
  • Cancer Research 328
Replace Zhou Zhou with:
Zhou Zhou China
Ching‐Feng Cheng Taiwan
Giuseppe Castaldo Italy
Adel Abuzenadah Saudi Arabia
Fuu‐Jen Tsai Taiwan
Kyung Lee United States
Jin‐an Zhang China
Masami Murakami Japan
Li Zhang China
Zhou Zhou China View profile →
Citations per field, relative to Peng Chen
Peng Chen · 1×
Citations per year, relative to Peng Chen
Peng Chen · 1×

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-authorship network of co-authors of Peng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Chen. A scholar is included among the top collaborators of Peng Chen 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 Peng Chen. Peng Chen 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 3
2 2
3 1
4 3
5 18
6 5
7 5
8 12
9 1
10 3
11 9
12
Effectiveness and Predictors of Poor Prognosis Following Intravenous Thrombolysis in Patients with Wake-Up Ischemic Stroke Guided by Rapid MRI
4
13 11
14 2
15 20
16 7
17 6
18 1
19 11
20
Validation study of the modified injection technique for internal mammary sentinel lymph node biopsy in breast cancer
2

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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