I‐Huan Wu
Impact in
- Molecular Biology top 1%
- Melanoma and MAPK Pathways
- Protein Kinase Regulation and GTPase Signaling
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Cancer Research top 2%
- NF-κB Signaling Pathways
Papers in
-
- Antimicrobial Peptides and Activities 2
-
- Lysosomal Storage Disorders Research 2
- Adenosine and Purinergic Signaling 1
- Co-authors
- Roger J. DavisTamera BarrettBenoit DérijardMasahiko HibiTiliang DengBing SuMichael KarinBenoît Dérijard
- Journals
- Molecular Therapy (3 papers)Science (3 papers)Nucleic Acid Therapeutics (1 paper)Cell (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
I‐Huan Wu
10 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 4.3k
- Cancer Research 795
- Aging 84
- Immunology 926
- Cell Biology 700
Countries citing papers authored by I‐Huan Wu
This map shows the geographic impact of I‐Huan Wu'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 I‐Huan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Huan Wu more than expected).
Fields of papers citing papers by I‐Huan Wu
This network shows the impact of papers produced by I‐Huan Wu. 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 I‐Huan Wu. The network helps show where I‐Huan Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside I‐Huan Wu, 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 | 2013 | 49 | |
| 2 | 2005 | 80 | |
| 3 | 2003 | 23 | |
| 4 | 2002 | 181 | |
| 5 | 2000 | 182 | |
| 6 | 1998 | 167 | |
| 7 | 1996 | 96 | |
| 8 | Independent Human MAP-Kinase Signal Transduction Pathways Defined by MEK and MKK Isoforms Hit paper breakdown → | 1995 | 1387 |
| 9 | JNK1: A protein kinase stimulated by UV light and Ha-Ras that binds and phosphorylates the c-Jun activation domain Hit paper breakdown → | 1994 | 2892 |
| 10 | An Osmosensing Signal Transduction Pathway in Mammalian Cells Hit paper breakdown → | 1994 | 526 |
About I‐Huan Wu
I‐Huan Wu is a scholar working on Microbiology, Physiology, Immunology, Cancer Research and Cell Biology, having authored 10 papers that have together received 5.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Antimicrobial Peptides and Activities (2 papers), Lysosomal Storage Disorders Research (2 papers), NF-κB Signaling Pathways (2 papers), Melanoma and MAPK Pathways (2 papers), Adenosine and Purinergic Signaling (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Molecular Biology (4.3k citations), Cancer Research (795 citations), Aging (84 citations), Immunology (926 citations) and Cell Biology (700 citations). I‐Huan Wu has collaborated with scholars based in United States, India and France. Frequent co-authors include Roger J. Davis, Tamera Barrett, Benoit Dérijard, Masahiko Hibi, Tiliang Deng, Bing Su, Michael Karin, Benoît Dérijard, Joël Raingeaud and Jiahuai Han. Their work appears in journals such as Molecular Therapy, Science, Nucleic Acid Therapeutics, Cell and Molecular and Cellular Biology.
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.