X Chen
Impact in
- Transplantation top 5%
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- RNA Interference and Gene Delivery 4
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 3
- Oncology 13
- Cancer-related Molecular Pathways 5
- Co-authors
- D R Marshak (1 shared paper)James J. Manfredi (1 shared paper)Carol Prives (1 shared paper)Jill Bargonetti (1 shared paper)Donald Sullivan (1 shared paper)Tim C. Huffaker (1 shared paper)Hua Zhu (1 shared paper)George E. Farmer (1 shared paper)
- Journals
- Genes & Development (2 papers)Carcinogenesis (2 papers)PLoS ONE (2 papers)ACS Synthetic Biology (1 paper)Journal of Virology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
X Chen
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Transplantation 44
- Oncology 410
- Biotechnology 115
- Molecular Biology 768
- Cancer Research 153
Countries citing papers authored by X Chen
This map shows the geographic impact of X 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 X Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X Chen more than expected).
Fields of papers citing papers by X Chen
This network shows the impact of papers produced by X 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 X Chen. The network helps show where X Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside X 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 235 | |
| 2 | 1994 | 118 | |
| 3 | 1993 | 113 | |
| 4 | 2017 | 80 | |
| 5 | 2014 | 49 | |
| 6 | 2010 | 48 | |
| 7 | 2017 | 47 | |
| 8 | 2020 | 44 | |
| 9 | 2016 | 40 | |
| 10 | 2019 | 34 | |
| 11 | 2014 | 33 | |
| 12 | 1995 | 33 | |
| 13 | 2021 | 29 | |
| 14 | 2017 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2019 | 26 | |
| 17 | 2019 | 24 | |
| 18 | 2020 | 24 | |
| 19 | 2020 | 23 | |
| 20 | 2016 | 21 |
About X Chen
X Chen is a scholar working on Molecular Biology, Oncology, Immunology, Hematology and Cancer Research, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (6 papers), Virus-based gene therapy research (5 papers), Cancer-related Molecular Pathways (5 papers), RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (4 papers), DNA Repair Mechanisms (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Transplantation (44 citations), Oncology (410 citations), Biotechnology (115 citations), Molecular Biology (768 citations) and Cancer Research (153 citations). X Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include D R Marshak, James J. Manfredi, Carol Prives, Jill Bargonetti, Donald Sullivan, Tim C. Huffaker, Hua Zhu, George E. Farmer, Ron Prywes and Carol Prives. Their work appears in journals such as Genes & Development, Carcinogenesis, PLoS ONE, ACS Synthetic Biology and Journal of Virology.
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.