Penghui Yan
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 8
- RNA Research and Splicing 7
-
- Sarcoma Diagnosis and Treatment 4
- Occupational and environmental lung diseases 4
- Medical Imaging and Pathology Studies 4
- Co-authors
- Zongqiang Huang (35 shared papers)Runzhi Huang (27 shared papers)Huabin Yin (24 shared papers)Tong Meng (24 shared papers)Peng Hu (19 shared papers)Dianwen Song (14 shared papers)Xiaolong Zhu (14 shared papers)Zhenyu Li (9 shared papers)
In The Last Decade
Penghui Yan
44 papers receiving 478 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 114
- Health Informatics 7
- Pulmonary and Respiratory Medicine 104
- Molecular Biology 193
- Oncology 54
Countries citing papers authored by Penghui Yan
This map shows the geographic impact of Penghui Yan'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 Penghui Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penghui Yan more than expected).
Fields of papers citing papers by Penghui Yan
This network shows the impact of papers produced by Penghui Yan. 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 Penghui Yan. The network helps show where Penghui Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Penghui Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 53 | |
| 2 | 2019 | 34 | |
| 3 | 2022 | 30 | |
| 4 | 2019 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 20 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2023 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2019 | 11 |
About Penghui Yan
Penghui Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 45 papers that have together received 479 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), RNA Research and Splicing (7 papers), Cancer-related molecular mechanisms research (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Occupational and environmental lung diseases (4 papers), Medical Imaging and Pathology Studies (4 papers), Bone Tumor Diagnosis and Treatments (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (114 citations), Health Informatics (7 citations), Pulmonary and Respiratory Medicine (104 citations), Molecular Biology (193 citations) and Oncology (54 citations). Penghui Yan has collaborated with scholars based in China and Russia. Frequent co-authors include Zongqiang Huang, Runzhi Huang, Huabin Yin, Tong Meng, Peng Hu, Dianwen Song, Xiaolong Zhu, Zhenyu Li, Shuyuan Xian and Zhiwei Zeng. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Journal of Cellular and Molecular Medicine, Frontiers in Genetics, Frontiers in Bioengineering and Biotechnology and Aging.
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.