Na Chen
Impact in
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- Immune Cell Function and Interaction
- Macrophage Migration Inhibitory Factor
- Immunotherapy and Immune Responses
Papers in
- Oncology 15
- Peptidase Inhibition and Analysis 4
- Cytokine Signaling Pathways and Interactions 2
- Immunology 13
- Galectins and Cancer Biology 3
- Macrophage Migration Inhibitory Factor 3
- Co-authors
- Xin Wang (21 shared papers)Kang Lu (17 shared papers)Peipei Li (13 shared papers)Xiao Lv (11 shared papers)Xiangxiang Zhou (7 shared papers)Xiaosheng Fang (8 shared papers)Wei Lv (3 shared papers)Lili Feng (9 shared papers)
In The Last Decade
Na Chen
30 papers receiving 499 citations
Peers
Comparison fields: 5 of 82
- Immunology 162
- Geriatrics and Gerontology 23
- Pathology and Forensic Medicine 97
- Cancer Research 75
- Genetics 51
Countries citing papers authored by Na Chen
This map shows the geographic impact of Na 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 Na Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Chen more than expected).
Fields of papers citing papers by Na Chen
This network shows the impact of papers produced by Na 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 Na Chen. The network helps show where Na Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 90 | |
| 2 | 2020 | 61 | |
| 3 | 2020 | 51 | |
| 4 | 2018 | 29 | |
| 5 | 2012 | 28 | |
| 6 | 2022 | 24 | |
| 7 | Role of high expression of IL-9 in prognosis of CLL. | 2014 | 24 |
| 8 | Overexpression of IL-9 induced by STAT6 activation promotes the pathogenesis of chronic lymphocytic leukemia. | 2014 | 24 |
| 9 | 2015 | 23 | |
| 10 | 2015 | 20 | |
| 11 | 2013 | 19 | |
| 12 | 2018 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2019 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2013 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 6 |
About Na Chen
Na Chen is a scholar working on Oncology, Immunology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 35 papers that have together received 500 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Cancer Mechanisms and Therapy (4 papers), Peptidase Inhibition and Analysis (4 papers), Galectins and Cancer Biology (3 papers), Retinoids in leukemia and cellular processes (3 papers), Macrophage Migration Inhibitory Factor (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (162 citations), Geriatrics and Gerontology (23 citations), Pathology and Forensic Medicine (97 citations), Cancer Research (75 citations) and Genetics (51 citations). Na Chen has collaborated with scholars based in China and Russia. Frequent co-authors include Xin Wang, Kang Lu, Peipei Li, Xiao Lv, Xiangxiang Zhou, Xiaosheng Fang, Wei Lv, Lili Feng, Ya Zhang and Juan Yang. Their work appears in journals such as Blood, Oncology Reports, Cancer Letters, Biochemical and Biophysical Research Communications and Medical Oncology.
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.