Huize Pan
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Atherosclerosis and Cardiovascular Diseases 6
-
- Pluripotent Stem Cells Research 3
- Single-cell and spatial transcriptomics 3
- Genomics and Chromatin Dynamics 1
- Co-authors
- Muredach P. Reilly (4 shared papers)Guang‐Hui Liu (5 shared papers)Mingyao Li (2 shared papers)Yafei Lyu (1 shared paper)Kui Wang (1 shared paper)Dwight E. Stambolian (1 shared paper)Gang Hu (1 shared paper)Katalin Suszták (1 shared paper)
- Journals
- Protein & Cell (4 papers)Nature Communications (2 papers)Circulation (2 papers)Atherosclerosis (1 paper)Circulation Research (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Huize Pan
18 papers receiving 2k citations
Huize Pan's Hit Papers
Peers
Comparison fields: 5 of 88
- Aging 155
- Geriatrics and Gerontology 130
- Immunology 444
- Molecular Biology 923
- Genetics 108
Countries citing papers authored by Huize Pan
This map shows the geographic impact of Huize Pan'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 Huize Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huize Pan more than expected).
Fields of papers citing papers by Huize Pan
This network shows the impact of papers produced by Huize Pan. 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 Huize Pan. The network helps show where Huize Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Huize Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Single-Cell Genomics Reveals a Novel Cell State During Smooth Muscle Cell Phenotypic Switching and Potential Therapeutic Targets for Atherosclerosis in Mouse and Human Hit paper breakdown → | 2020 | 471 |
| 2 | A Werner syndrome stem cell model unveils heterochromatin alterations as a driver of human aging Hit paper breakdown → | 2015 | 464 |
| 3 | 2020 | 295 | |
| 4 | 2016 | 290 | |
| 5 | 2020 | 135 | |
| 6 | 2013 | 125 | |
| 7 | Atherosclerosis Is a Smooth Muscle Cell–Driven Tumor-Like Disease Hit paper breakdown → | 2024 | 93 |
| 8 | 2021 | 46 | |
| 9 | 2013 | 31 | |
| 10 | 2023 | 21 | |
| 11 | 2011 | 19 | |
| 12 | 2019 | 18 | |
| 13 | 2024 | 13 | |
| 14 | 2014 | 11 | |
| 15 | 2014 | 10 | |
| 16 | 2025 | 4 | |
| 17 | 2026 | 2 | |
| 18 | Aging of human mature erythrocytes is like a process of apoptosis in enucleated cell. | 1998 | 1 |
About Huize Pan
Huize Pan is a scholar working on Immunology, Molecular Biology, Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Physiology, having authored 18 papers that have together received 2k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (6 papers), Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Cardiovascular Health and Disease Prevention (1 paper), Atrial Fibrillation Management and Outcomes (1 paper), Genomics and Chromatin Dynamics (1 paper), Autophagy in Disease and Therapy (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Aging (155 citations), Geriatrics and Gerontology (130 citations), Immunology (444 citations), Molecular Biology (923 citations) and Genetics (108 citations). Huize Pan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Muredach P. Reilly, Guang‐Hui Liu, Mingyao Li, Yafei Lyu, Kui Wang, Dwight E. Stambolian, Gang Hu, Katalin Suszták, Jingxiao Zhang and Xiangjie Li. Their work appears in journals such as Protein & Cell, Nature Communications, Circulation, Atherosclerosis and Circulation Research.
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.