Chih‐Wen Ni
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 3
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications 3
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases 8
- Molecular Biology top 5%
- Angiogenesis and VEGF in Cancer 7
- Congenital heart defects research 3
- Immunology and Allergy top 5%
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- Cytokine Signaling Pathways and Interactions 4
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- Coronary Interventions and Diagnostics 3
- Co-authors
- Hanjoong JoAmir RezvanHaiwei QiuDouglas NamAlexander LlanosKlaudia BudzynDon P. GiddensJin Suo
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
Chih‐Wen Ni
27 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 510
- Cell Biology 481
- Immunology 478
- Molecular Biology 1.4k
- Immunology and Allergy 120
Countries citing papers authored by Chih‐Wen Ni
This map shows the geographic impact of Chih‐Wen Ni'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 Chih‐Wen Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Wen Ni more than expected).
Fields of papers citing papers by Chih‐Wen Ni
This network shows the impact of papers produced by Chih‐Wen Ni. 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 Chih‐Wen Ni. The network helps show where Chih‐Wen Ni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chih‐Wen Ni, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2020 | 131 | |
| 6 | 2014 | 37 | |
| 7 | 2014 | 23 | |
| 8 | 2013 | 193 | |
| 9 | 2012 | 45 | |
| 10 | 2010 | 25 | |
| 11 | 2010 | 58 | |
| 12 | 2010 | 65 | |
| 13 | 2009 | 382 | |
| 14 | 2009 | 10 | |
| 15 | 2007 | 19 | |
| 16 | 2005 | 32 | |
| 17 | 2005 | 120 | |
| 18 | 2004 | 64 | |
| 19 | 2003 | 36 | |
| 20 | 2003 | 27 |
About Chih‐Wen Ni
Chih‐Wen Ni is a scholar working on Cancer Research, Immunology and Immunology and Allergy, having authored 30 papers that have together received 2.4k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (8 papers), Angiogenesis and VEGF in Cancer (7 papers), Cancer-related molecular mechanisms research (7 papers), Cytokine Signaling Pathways and Interactions (4 papers), Congenital heart defects research (3 papers), MicroRNA in disease regulation (3 papers), Coronary Interventions and Diagnostics (3 papers) and Zebrafish Biomedical Research Applications (3 papers). The work is most often cited by research in Cancer Research (510 citations), Cell Biology (481 citations) and Immunology (478 citations). Chih‐Wen Ni has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Hanjoong Jo, Amir Rezvan, Haiwei Qiu, Douglas Nam, Alexander Llanos, Klaudia Budzyn, Don P. Giddens, Jin Suo, David G. Harrison and Being‐Sun Wung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.