Fujun Li
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
Papers in
- Hematology 11
- Multiple Myeloma Research and Treatments 9
- Oncology 16
- Cytokine Signaling Pathways and Interactions 8
- Co-authors
- Tom Alfredson (3 shared papers)Hideaki Ishikawa (11 shared papers)Michio Kawano (11 shared papers)Naohiro Tsuyama (11 shared papers)Saeid Abroun (11 shared papers)Shangqin Liu (11 shared papers)Hans Maag (1 shared paper)Dequan Wu (2 shared papers)
- Journals
- Blood (4 papers)Brain Research (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)BioMed Research International (2 papers)Medicine (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Fujun Li
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Hematology 150
- Oncology 321
- Cancer Research 169
- Molecular Biology 557
- Immunology 157
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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 150 | |
| 2 | 2007 | 127 | |
| 3 | 2012 | 116 | |
| 4 | 2002 | 72 | |
| 5 | 2008 | 72 | |
| 6 | 2003 | 64 | |
| 7 | 2012 | 47 | |
| 8 | 2013 | 42 | |
| 9 | 2011 | 41 | |
| 10 | 2018 | 39 | |
| 11 | 2017 | 32 | |
| 12 | 2016 | 31 | |
| 13 | 2006 | 31 | |
| 14 | 2005 | 30 | |
| 15 | 2003 | 29 | |
| 16 | 2021 | 28 | |
| 17 | 2016 | 27 | |
| 18 | 2002 | 24 | |
| 19 | 2005 | 23 | |
| 20 | 2012 | 22 |
About Fujun Li
Fujun Li is a scholar working on Hematology, Oncology, Cancer Research, Molecular Biology and Immunology, having authored 61 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), Immunodeficiency and Autoimmune Disorders (2 papers), Plant Gene Expression Analysis (2 papers), Medicinal Plant Pharmacodynamics Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (150 citations), Oncology (321 citations), Cancer Research (169 citations), Molecular Biology (557 citations) and Immunology (157 citations). Fujun Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tom Alfredson, Hideaki Ishikawa, Michio Kawano, Naohiro Tsuyama, Saeid Abroun, Shangqin Liu, Hans Maag, Dequan Wu, Guangxin Jin and Ken‐ichiro Otsuyama. Their work appears in journals such as Blood, Brain Research, Journal of Pharmaceutical and Biomedical Analysis, BioMed Research International 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.