Fujun Li
- Hematology top 5%
- Multiple Myeloma Research and Treatments 9
- Cancer Research top 10%
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 3
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 8
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- Circular RNAs in diseases 5
- PI3K/AKT/mTOR signaling in cancer 2
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- Helicobacter pylori-related gastroenterology studies 3
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- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Saeid AbrounHideaki IshikawaNaohiro TsuyamaMichio KawanoShangqin LiuTom AlfredsonHans MaagDequan Wu
- Cited by
- HematologyCancer ResearchOncology
- Journals
- Blood (4 papers)Journal of Pharmaceutical Sciences (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fujun Li
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Hematology 155
- Cancer Research 202
- Oncology 345
- Molecular Biology 607
- Immunology 186
Countries citing papers authored by Fujun Li
This map shows the geographic impact of Fujun Li'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 Fujun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fujun Li more than expected).
Fields of papers citing papers by Fujun Li
This network shows the impact of papers produced by Fujun Li. 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 Fujun Li. The network helps show where Fujun Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fujun Li, 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 | 2024 | 5 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 1 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 29 | |
| 11 | 2016 | 3 | |
| 12 | 2014 | 4 | |
| 13 | 2011 | 39 | |
| 14 | 2010 | 10 | |
| 15 | [Construction of pSG5/NS5A5BdeltaC and its expression in Huh7 cells]. | 2009 | 0 |
| 16 | 2007 | 120 | |
| 17 | 2005 | 28 | |
| 18 | [Correlation of expression of RhoA (RhoC and their effector ROCK-1 with malignant phenotype of ovarian cancer cells in vitro]. | 2004 | 3 |
| 19 | 2003 | 30 | |
| 20 | 2002 | 25 |
About Fujun Li
Fujun Li is a scholar working on Hematology, Gastroenterology, Oncology, Cancer Research and Hepatology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Cytokine Signaling Pathways and Interactions (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Hematology (155 citations), Cancer Research (202 citations), Oncology (345 citations), Molecular Biology (607 citations) and Immunology (186 citations). Fujun Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Saeid Abroun, Hideaki Ishikawa, Naohiro Tsuyama, Michio Kawano, Shangqin Liu, Tom Alfredson, Hans Maag, Dequan Wu, Guangxin Jin and Ken‐ichiro Otsuyama. Their work appears in journals such as Blood, Journal of Pharmaceutical Sciences, Journal of Pharmaceutical and Biomedical Analysis, Brain Research and Medicine.
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.