Pengchin Chen
- Molecular Biology
- Genetics top 5%
- Oncology top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Rei MiikeMargaret WrenschMark A. IsraelJohn K. WienckeMartha L. SimmonsNurith KurnMarion LeeShenglong Wang
- Topics
- Glioma Diagnosis and Treatment (6 papers)Cancer-related Molecular Pathways (4 papers)Mitochondrial Function and Pathology (3 papers)
- Journals
- Proceedings of the National Academy of SciencesCancerInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesParaguay
In The Last Decade
Pengchin Chen
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 640
- Genetics 340
- Oncology 235
- Cancer Research 221
- Pulmonary and Respiratory Medicine 187
Countries citing papers authored by Pengchin Chen
This map shows the geographic impact of Pengchin 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 Pengchin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengchin Chen more than expected).
Fields of papers citing papers by Pengchin Chen
This network shows the impact of papers produced by Pengchin 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 Pengchin Chen. The network helps show where Pengchin Chen may publish in the future.
Co-authorship network of co-authors of Pengchin Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Pengchin Chen. A scholar is included among the top collaborators of Pengchin 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 Pengchin Chen. Pengchin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 162 | |
| 2 | 101 | |
| 3 | 189 | |
| 4 | Associations between ERCC2 polymorphisms and gliomas. | 81 |
| 5 | Ethnicity delineates different genetic pathways in malignant glioma. | 57 |
| 6 | NAT2 and NQO1 polymorphisms are not associated with adult glioma. | 21 |
| 7 | 3 | |
| 8 | 143 | |
| 9 | 14 | |
| 10 | Association of an ERCC1 polymorphism with adult-onset glioma. | 149 |
| 11 | 1 | |
| 12 | 90 | |
| 13 | 33 | |
| 14 | 54 | |
| 15 | 9 |
About Pengchin Chen
Pengchin Chen is a scholar working on Genetics, Oncology and Cancer Research, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Cancer-related Molecular Pathways (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Genetics (340 citations), Cancer Research (221 citations) and Molecular Biology (640 citations). Pengchin Chen has collaborated with scholars based in United States and Paraguay. Frequent co-authors include Rei Miike, Margaret Wrensch, Mark A. Israel, John K. Wiencke, Martha L. Simmons, Nurith Kurn, Marion Lee, Shenglong Wang, Kathryn M. Stephens and Anne R. Kopf-Sill. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer and International Journal of Radiation Oncology*Biology*Physics.
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.