Xiaofen Ye
- Aging top 5%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 6
- Chromatin Remodeling and Cancer 4
- Retinoids in leukemia and cellular processes 3
- DNA Repair Mechanisms 2
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms 3
- Oncology top 10%
- Physiology top 5%
- Asthma and respiratory diseases 4
- Telomeres, Telomerase, and Senescence 3
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- Cancer Mechanisms and Therapy 3
- Co-authors
- Peter D. AdamsRugang ZhangPaul D. KaufmanDavid M. NelsonBrad J. ZerlankoRoland L. DunbrackJohn R. PehrsonAdrian A. Canutescu
- Cited by
- AgingMolecular BiologyHematology
- Journals
- Molecular Cell (3 papers)Molecular and Cellular Biology (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Xiaofen Ye
32 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Aging 68
- Molecular Biology 1.5k
- Hematology 206
- Oncology 446
- Physiology 378
Countries citing papers authored by Xiaofen Ye
This map shows the geographic impact of Xiaofen Ye'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 Xiaofen Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofen Ye more than expected).
Fields of papers citing papers by Xiaofen Ye
This network shows the impact of papers produced by Xiaofen Ye. 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 Xiaofen Ye. The network helps show where Xiaofen Ye may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaofen Ye, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2019 | 0 | |
| 8 | 2019 | 17 | |
| 9 | 2015 | 181 | |
| 10 | 2015 | 4 | |
| 11 | 2014 | 116 | |
| 12 | 2014 | 86 | |
| 13 | 2014 | 1 | |
| 14 | 2012 | 68 | |
| 15 | 2011 | 54 | |
| 16 | 2007 | 1 | |
| 17 | 2007 | 47 | |
| 18 | 2001 | 92 | |
| 19 | 1999 | 64 | |
| 20 | 1998 | 92 |
About Xiaofen Ye
Xiaofen Ye is a scholar working on Family Practice, Hematology, Physiology, Internal Medicine and Molecular Biology, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Chromatin Remodeling and Cancer (4 papers), Asthma and respiratory diseases (4 papers), Retinoids in leukemia and cellular processes (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Cancer Mechanisms and Therapy (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Aging (68 citations), Molecular Biology (1.5k citations), Hematology (206 citations), Oncology (446 citations) and Physiology (378 citations). Xiaofen Ye has collaborated with scholars based in United States, China and France. Frequent co-authors include Peter D. Adams, Rugang Zhang, Paul D. Kaufman, David M. Nelson, Brad J. Zerlanko, Roland L. Dunbrack, John R. Pehrson, Adrian A. Canutescu, Wei Chen and Jan P. Erzberger. Their work appears in journals such as Molecular Cell, Molecular and Cellular Biology, Cancer Research, Managerial and Decision Economics and Journal of Asthma.
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.