Yi Peng

48 papers receiving 2.4k citations

Peers

Yi Peng
Comparison fields: 5 of 150
  • Genetics 955
  • Cancer Research 449
  • Molecular Biology 1.6k
  • Oncology 524
  • Reproductive Medicine 144
Replace Rebecca Shepherd with:
Rebecca Shepherd United Kingdom
B A Ponder United Kingdom
Lise Lotte Hansen Denmark
Luke Hughes‐Davies United Kingdom
Francesco Schittulli Italy
Yasuhiro Sakai Japan
Travis Zack United States
Bruce Richardson United States
Jessica B. Mandell United States
Charles Warden United States
Yi Peng relative to Rebecca Shepherd United Kingdom Rebecca Shepherd's profile →
Citations per field
00.5×3.3×
Rebecca Shepherd · 1×
Citations per year

Countries citing papers authored by Yi Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yi Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997431
2 1998395
3 1996270
4 1997199
5 2008119
6 200979
7 202075
8 200873
9
Genetic heterogeneity in hereditary breast cancer: role of BRCA1 and BRCA2.
199673
10 201067
11 200859
12
Increased expression of histone deacetylaces (HDACs) and inhibition of prostate cancer growth and invasion by HDAC inhibitor SAHA.
200951
13 200740
14 202136
15 202134
16 200831
17 201931
18 201930
19 201027
20 202225

About Yi Peng

Yi Peng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Oncology, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), BRCA gene mutations in cancer (5 papers), DNA Repair Mechanisms (4 papers), Cancer-related gene regulation (4 papers), Estrogen and related hormone effects (4 papers), Online Learning and Analytics (4 papers), Cancer, Lipids, and Metabolism (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Genetics (955 citations), Cancer Research (449 citations), Molecular Biology (1.6k citations), Oncology (524 citations) and Reproductive Medicine (144 citations). Yi Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Barbara L. Weber, Kumaravel Somasundaram, Hongxiang Zhang, Wafik S. El‐Deiry, Hongbing Zhang, Peng Lee, Hui Tian, Jonathan Melamed, Jonathan D. Licht and Yariv Houvras. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Clinical Cancer Research, Journal of International Marketing, American Journal Of Pathology and Oncogene.

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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