Lisa Fujimura
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Wnt/β-catenin signaling in development and cancer 4
- Circular RNAs in diseases 3
- Kruppel-like factors research 3
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- IL-33, ST2, and ILC Pathways 3
- Co-authors
- Naohiko Seki (8 shared papers)Naoko Kikkawa (6 shared papers)Hideki Enokida (6 shared papers)Masayuki Nakagawa (6 shared papers)Takeshi Chiyomaru (4 shared papers)Masahiko Hatano (26 shared papers)Nijiro Nohata (5 shared papers)Isamu Hoshino (1 shared paper)
- Journals
- British Journal of Cancer (3 papers)Scientific Reports (3 papers)DNA and Cell Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Shock (2 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Lisa Fujimura
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 849
- Molecular Biology 1.0k
- Immunology 152
- Epidemiology 198
- Pathology and Forensic Medicine 93
Countries citing papers authored by Lisa Fujimura
This map shows the geographic impact of Lisa Fujimura'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 Lisa Fujimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Fujimura more than expected).
Fields of papers citing papers by Lisa Fujimura
This network shows the impact of papers produced by Lisa Fujimura. 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 Lisa Fujimura. The network helps show where Lisa Fujimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Fujimura, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 381 | |
| 2 | 2010 | 282 | |
| 3 | 2010 | 135 | |
| 4 | 2013 | 114 | |
| 5 | 2011 | 105 | |
| 6 | 2013 | 104 | |
| 7 | 2011 | 81 | |
| 8 | 2016 | 67 | |
| 9 | 2017 | 54 | |
| 10 | 2012 | 53 | |
| 11 | 2017 | 49 | |
| 12 | 2018 | 48 | |
| 13 | 2002 | 44 | |
| 14 | 2004 | 23 | |
| 15 | 2018 | 22 | |
| 16 | 2009 | 19 | |
| 17 | 2021 | 16 | |
| 18 | 2013 | 14 | |
| 19 | 2017 | 13 | |
| 20 | 2016 | 12 |
About Lisa Fujimura
Lisa Fujimura is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Epidemiology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), MicroRNA in disease regulation (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Autophagy in Disease and Therapy (4 papers), T-cell and B-cell Immunology (3 papers), Circular RNAs in diseases (3 papers), Kruppel-like factors research (3 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Cancer Research (849 citations), Molecular Biology (1.0k citations), Immunology (152 citations), Epidemiology (198 citations) and Pathology and Forensic Medicine (93 citations). Lisa Fujimura has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Naohiko Seki, Naoko Kikkawa, Hideki Enokida, Masayuki Nakagawa, Takeshi Chiyomaru, Masahiko Hatano, Nijiro Nohata, Isamu Hoshino, Hisahiro Matsubara and Yasunori Akutsu. Their work appears in journals such as British Journal of Cancer, Scientific Reports, DNA and Cell Biology, Proceedings of the National Academy of Sciences and Shock.
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.