Chong Chen
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Epigenetics and DNA Methylation 12
- Protein Degradation and Inhibitors 11
- RNA Research and Splicing 7
- Hematology 46
- Hematopoietic Stem Cell Transplantation 19
- Acute Myeloid Leukemia Research 16
- Co-authors
- Susumu Tonegawa (4 shared papers)Pan Zheng (10 shared papers)Yang Liu (10 shared papers)Yu Liu (2 shared papers)Robert Greene (1 shared paper)Donald G. Rainnie (1 shared paper)Scott W. Lowe (3 shared papers)Kailin Xu (27 shared papers)
- Journals
- Oncogene (5 papers)Blood (5 papers)Scientific Reports (5 papers)Frontiers in Oncology (4 papers)Journal of Organometallic Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chong Chen
180 papers receiving 4.4k citations
Chong Chen's Hit Papers
Peers
Comparison fields: 5 of 151
- Aging 192
- Hematology 622
- Cancer Research 541
- Immunology 682
- Molecular Biology 2.0k
Countries citing papers authored by Chong Chen
This map shows the geographic impact of Chong 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 Chong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Chen more than expected).
Fields of papers citing papers by Chong Chen
This network shows the impact of papers produced by Chong 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 Chong Chen. The network helps show where Chong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chong Chen, 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 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | mTOR Regulation and Therapeutic Rejuvenation of Aging Hematopoietic Stem Cells Hit paper breakdown → | 2009 | 521 |
| 2 | 1997 | 241 | |
| 3 | 2014 | 230 | |
| 4 | 1994 | 224 | |
| 5 | 2011 | 207 | |
| 6 | 1996 | 113 | |
| 7 | 2013 | 98 | |
| 8 | 2017 | 94 | |
| 9 | 2009 | 91 | |
| 10 | 2010 | 82 | |
| 11 | 2020 | 81 | |
| 12 | 2019 | 71 | |
| 13 | 2015 | 69 | |
| 14 | 2011 | 64 | |
| 15 | 2023 | 61 | |
| 16 | 2021 | 60 | |
| 17 | 2009 | 59 | |
| 18 | 2021 | 51 | |
| 19 | 2018 | 48 | |
| 20 | 2015 | 48 |
About Chong Chen
Chong Chen is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Cancer Research, having authored 193 papers that have together received 4.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (19 papers), Acute Myeloid Leukemia Research (16 papers), Cancer, Hypoxia, and Metabolism (13 papers), Epigenetics and DNA Methylation (12 papers), Immune Cell Function and Interaction (12 papers), Protein Degradation and Inhibitors (11 papers), T-cell and B-cell Immunology (8 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Aging (192 citations), Hematology (622 citations), Cancer Research (541 citations), Immunology (682 citations) and Molecular Biology (2.0k citations). Chong Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Susumu Tonegawa, Pan Zheng, Yang Liu, Yu Liu, Robert Greene, Donald G. Rainnie, Scott W. Lowe, Kailin Xu, Jeansok J. Kim and Lingyu Zeng. Their work appears in journals such as Oncogene, Blood, Scientific Reports, Frontiers in Oncology and Journal of Organometallic Chemistry.
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.