Xueman Chen
Impact in
- Immunology top 2%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
Papers in
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- RNA modifications and cancer 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Breast Cancer Treatment Studies 1
- Co-authors
- Erwei Song (9 shared papers)Qiang Liu (4 shared papers)Di Huang (5 shared papers)Shicheng Su (2 shared papers)Yue Xing (2 shared papers)Jiaqian Li (2 shared papers)Linbin Yang (3 shared papers)Xiaoqian Zhang (1 shared paper)
In The Last Decade
Xueman Chen
14 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Immunology 924
- Cancer Research 654
- Oncology 1.1k
- Immunology and Allergy 93
- Molecular Biology 1.0k
Countries citing papers authored by Xueman Chen
This map shows the geographic impact of Xueman 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 Xueman Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueman Chen more than expected).
Fields of papers citing papers by Xueman Chen
This network shows the impact of papers produced by Xueman 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 Xueman Chen. The network helps show where Xueman Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xueman 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
| # | Work | ||
|---|---|---|---|
| 1 | Turning foes to friends: targeting cancer-associated fibroblasts Hit paper breakdown → | 2018 | 1354 |
| 2 | DNA of neutrophil extracellular traps promotes cancer metastasis via CCDC25 Hit paper breakdown → | 2020 | 689 |
| 3 | 2015 | 102 | |
| 4 | 2022 | 76 | |
| 5 | 2021 | 71 | |
| 6 | 2022 | 62 | |
| 7 | 2016 | 61 | |
| 8 | 2023 | 9 | |
| 9 | 2017 | 7 | |
| 10 | 2025 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 |
About Xueman Chen
Xueman Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Cancer Cells and Metastasis (3 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Microbial Metabolites in Food Biotechnology (1 paper), Alzheimer's disease research and treatments (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Immunology (924 citations), Cancer Research (654 citations), Oncology (1.1k citations), Immunology and Allergy (93 citations) and Molecular Biology (1.0k citations). Xueman Chen has collaborated with scholars based in China and Australia. Frequent co-authors include Erwei Song, Qiang Liu, Di Huang, Shicheng Su, Yue Xing, Jiaqian Li, Linbin Yang, Xiaoqian Zhang, Boxuan Zhou and Fei Chen. Their work appears in journals such as Advanced Science, Cancer Communications, Acta Pharmaceutica Sinica B, Advances in experimental medicine and biology and Nature Communications.
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.