I-Ming Wang
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- interferon and immune responses
- Immunotherapy and Immune Responses
- Otorhinolaryngology top 5%
Papers in
- Immunology 14
- T-cell and B-cell Immunology 5
- interferon and immune responses 4
- Immune Response and Inflammation 3
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- Bioinformatics and Genomic Networks 5
- Co-authors
- Keiko Ozato (7 shared papers)Atsuko Masumi (3 shared papers)Cristina Contursi (2 shared papers)Herbert C. Morse (3 shared papers)Xiaojing Ma (1 shared paper)Giorgio Trinchieri (1 shared paper)Lucia Gabriele (2 shared papers)Vincent Ling (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Frontiers in Immunology (3 papers)ESMO Open (2 papers)Molecular and Cellular Biology (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
I-Ming Wang
52 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 99
- Immunology 751
- Otorhinolaryngology 90
- Oncology 354
- Cancer Research 140
- Virology 45
Countries citing papers authored by I-Ming Wang
This map shows the geographic impact of I-Ming Wang'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-Ming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I-Ming Wang more than expected).
Fields of papers citing papers by I-Ming Wang
This network shows the impact of papers produced by I-Ming Wang. 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-Ming Wang. The network helps show where I-Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside I-Ming Wang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 250 | |
| 2 | 2000 | 168 | |
| 3 | 2016 | 151 | |
| 4 | 2007 | 141 | |
| 5 | 2000 | 131 | |
| 6 | 2009 | 131 | |
| 7 | 2019 | 119 | |
| 8 | 2012 | 117 | |
| 9 | 2004 | 110 | |
| 10 | 1999 | 104 | |
| 11 | 1999 | 98 | |
| 12 | 2017 | 82 | |
| 13 | 2010 | 81 | |
| 14 | 2002 | 77 | |
| 15 | 2008 | 71 | |
| 16 | 2000 | 70 | |
| 17 | 1996 | 63 | |
| 18 | 2012 | 58 | |
| 19 | 2016 | 55 | |
| 20 | 2010 | 51 |
About I-Ming Wang
I-Ming Wang is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 2.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Bioinformatics and Genomic Networks (5 papers), interferon and immune responses (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Immune Response and Inflammation (3 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Immunology (751 citations), Otorhinolaryngology (90 citations), Oncology (354 citations), Cancer Research (140 citations) and Virology (45 citations). I-Ming Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Keiko Ozato, Atsuko Masumi, Cristina Contursi, Herbert C. Morse, Xiaojing Ma, Giorgio Trinchieri, Lucia Gabriele, Vincent Ling, Kenneth A. Jacobs and Deborah P. Luxenberg. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, ESMO Open, Molecular and Cellular Biology and Journal for ImmunoTherapy of Cancer.
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.