Fanjun Cheng
Impact in
-
- Mesenchymal stem cell research
- Chronic Lymphocytic Leukemia Research
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- Chronic Myeloid Leukemia Treatments
Papers in
- Hematology 12
- Chronic Myeloid Leukemia Treatments 7
- Acute Myeloid Leukemia Research 4
- Genetics 10
- Chronic Lymphocytic Leukemia Research 6
- Mesenchymal stem cell research 4
- Co-authors
- Xiaojian Zhu (6 shared papers)Liling Zhang (1 shared paper)Zhaodong Zhong (6 shared papers)Ping Zou (7 shared papers)Na Jin (1 shared paper)Yong You (6 shared papers)An‐Yuan Guo (4 shared papers)Bin Fang (1 shared paper)
- Journals
- Scientific Reports (2 papers)The Lancet Child & Adolescent Health (1 paper)The Lancet Diabetes & Endocrinology (1 paper)Nature Immunology (1 paper)Cancer Research (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Fanjun Cheng
32 papers receiving 413 citations
Peers
Comparison fields: 5 of 79
- Genetics 62
- Hematology 65
- Cancer Research 65
- Oncology 95
- Molecular Biology 161
Countries citing papers authored by Fanjun Cheng
This map shows the geographic impact of Fanjun Cheng'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 Fanjun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanjun Cheng more than expected).
Fields of papers citing papers by Fanjun Cheng
This network shows the impact of papers produced by Fanjun Cheng. 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 Fanjun Cheng. The network helps show where Fanjun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Fanjun Cheng, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 86 | |
| 2 | 2016 | 50 | |
| 3 | 2018 | 43 | |
| 4 | 2010 | 30 | |
| 5 | 2023 | 24 | |
| 6 | 2024 | 23 | |
| 7 | 2021 | 18 | |
| 8 | 2008 | 18 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2019 | 10 | |
| 15 | [The growth characteristics of mesenchymal stem/progenitor cells in human umbilical cord blood]. | 2003 | 6 |
| 16 | 2016 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 5 |
About Fanjun Cheng
Fanjun Cheng is a scholar working on Hematology, Genetics, Oncology, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 36 papers that have together received 421 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Myeloid Leukemia Research (4 papers), Mesenchymal stem cell research (4 papers), COVID-19 Clinical Research Studies (3 papers), HER2/EGFR in Cancer Research (3 papers), Retinoids in leukemia and cellular processes (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Genetics (62 citations), Hematology (65 citations), Cancer Research (65 citations), Oncology (95 citations) and Molecular Biology (161 citations). Fanjun Cheng has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Xiaojian Zhu, Liling Zhang, Zhaodong Zhong, Ping Zou, Na Jin, Yong You, An‐Yuan Guo, Bin Fang, Weilong Chang and Teng Liu. Their work appears in journals such as Scientific Reports, The Lancet Child & Adolescent Health, The Lancet Diabetes & Endocrinology, Nature Immunology and Cancer Research.
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.