Fujun Li
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 3
- Oncology 16
- Cytokine Signaling Pathways and Interactions 8
- Co-authors
- Michio Kawano (11 shared papers)Hideaki Ishikawa (11 shared papers)Shangqin Liu (11 shared papers)Tom Alfredson (3 shared papers)Naohiro Tsuyama (11 shared papers)Saeid Abroun (11 shared papers)Hans Maag (1 shared paper)Guangxin Jin (2 shared papers)
- Journals
- Blood (4 papers)BioMed Research International (2 papers)Postharvest Biology and Technology (2 papers)Journal of Pharmaceutical Sciences (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fujun Li
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Hematology 143
- Cancer Research 170
- Oncology 302
- Hepatology 59
- Molecular Biology 531
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-authors
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
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 140 | |
| 2 | 2007 | 120 | |
| 3 | 2012 | 117 | |
| 4 | 2002 | 68 | |
| 5 | 2008 | 67 | |
| 6 | 2003 | 57 | |
| 7 | 2012 | 47 | |
| 8 | 2013 | 42 | |
| 9 | 2011 | 39 | |
| 10 | 2018 | 34 | |
| 11 | 2017 | 31 | |
| 12 | 2016 | 30 | |
| 13 | 2003 | 30 | |
| 14 | 2005 | 28 | |
| 15 | 2006 | 28 | |
| 16 | 2016 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2002 | 25 | |
| 19 | 2005 | 22 | |
| 20 | 2012 | 21 |
About Fujun Li
Fujun Li is a scholar working on Molecular Biology, Oncology, Hematology, Surgery and Cancer Research, 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 (6 papers), Circular RNAs in diseases (3 papers), Myasthenia Gravis and Thymoma (2 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Hepatitis C virus research (2 papers) and Flavonoids in Medical Research (2 papers). The work is most often cited by research in Hematology (143 citations), Cancer Research (170 citations), Oncology (302 citations), Hepatology (59 citations) and Molecular Biology (531 citations). Fujun Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Michio Kawano, Hideaki Ishikawa, Shangqin Liu, Tom Alfredson, Naohiro Tsuyama, Saeid Abroun, Hans Maag, Guangxin Jin, Dequan Wu and Ken‐ichiro Otsuyama. Their work appears in journals such as Blood, BioMed Research International, Postharvest Biology and Technology, Journal of Pharmaceutical Sciences 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.