A Peng

1.8k citations
10 papers · 1.4k · 1 hit paper · h-index 9

Impact in

Papers in

    • Epigenetics and DNA Methylation 2
    • RNA modifications and cancer 2
    • Genomics and Chromatin Dynamics 1
    • Cancer-related Molecular Pathways 2
    • Cancer Cells and Metastasis 1

A Peng

10 papers receiving 1.4k citations

A Peng's Hit Papers

Predicting hepatitis B virus–positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning 2003 · 677 citations
6770+7+15Years since publication200400600

Peers

A Peng
Comparison fields: 5 of 102
  • Hepatology 131
  • Cancer Research 236
  • Molecular Biology 760
  • Oncology 271
  • Rheumatology 110
Replace Letizia Perracchio with:
Letizia Perracchio Italy
Philipp Lohneis Germany
Brian Dolinski United States
Yoshinori Nimura Japan
Guo‐Ming Shi China
Brian Cao United States
Elena Roz Italy
Dirk Wienke United Kingdom
Alessandra Gentile Italy
Celina M. D’Cruz United States
A Peng relative to Letizia Perracchio Italy Letizia Perracchio's profile →
Citations per field
00.5×3.1×
Letizia Perracchio · 1×
Citations per year

Countries citing papers authored by A Peng

Since Specialization
Citations

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

Fields of papers citing papers by A Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Predicting hepatitis B virus–positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning
Hit paper breakdown →
2003677
2 2001316
3
Laser capture microdissection and microarray expression analysis of lung adenocarcinoma reveals tobacco smoking- and prognosis-related molecular profiles.
2002125
4 2019119
5
Reproducibility of p53 immunohistochemistry in bladder tumors. National Cancer Institute, Bladder Tumor Marker Network.
200064
6 201459
7 201824
8 201922
9 201820
10 20184

About A Peng

A Peng is a scholar working on Molecular Biology, Oncology, Oral Surgery, Surgery and Rheumatology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Epigenetics and DNA Methylation (2 papers), Endodontics and Root Canal Treatments (2 papers), RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (1 paper), Bladder and Urothelial Cancer Treatments (1 paper), Cancer Cells and Metastasis (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Hepatology (131 citations), Cancer Research (236 citations), Molecular Biology (760 citations), Oncology (271 citations) and Rheumatology (110 citations). A Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Stephanie C. Weber, Richard H. Simon, Ana I. Robles, Sheng-Long Ye, Marshonna Forgues, Li Y, Jin-Woo Kim, Zhao-You Tang, Xin Wei Wang and Lun‐Xiu Qin. Their work appears in journals such as Journal of Endodontics, Nature Medicine, Archives of Oral Biology, BioMed Research International and Genome biology.

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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