Nancy S. Wang
Impact in
- Physiology top 10%
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- Computational Drug Discovery Methods
Papers in
-
- Cell death mechanisms and regulation 3
- RNA Interference and Gene Delivery 2
- RNA and protein synthesis mechanisms 1
- Mitochondrial Function and Pathology 1
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Edmunds Reineks (2 shared papers)Clark Distelhorst (2 shared papers)Mikko Unkila (1 shared paper)Zhengqi Wang (1 shared paper)Michael J. Thomenius (1 shared paper)Gerd Heimlich (1 shared paper)Uno Johansson (1 shared paper)Katarina Kågedal (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)Medicinal Chemistry Research (1 paper)Molecular Therapy (1 paper)International Journal of Experimental Pathology (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Nancy S. Wang
6 papers receiving 458 citations
Peers
Comparison fields: 5 of 83
- Physiology 28
- Computational Theory and Mathematics 77
- Cell Biology 66
- Molecular Biology 274
- Epidemiology 104
Countries citing papers authored by Nancy S. Wang
This map shows the geographic impact of Nancy S. 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 Nancy S. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy S. Wang more than expected).
Fields of papers citing papers by Nancy S. Wang
This network shows the impact of papers produced by Nancy S. 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 Nancy S. Wang. The network helps show where Nancy S. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy S. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 153 | |
| 2 | 2005 | 105 | |
| 3 | 2021 | 91 | |
| 4 | 2003 | 75 | |
| 5 | 2015 | 37 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 0 |
About Nancy S. Wang
Nancy S. Wang is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Organic Chemistry and Oncology, having authored 7 papers that have together received 464 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), RNA Interference and Gene Delivery (2 papers), Computational Drug Discovery Methods (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (1 paper), Toxoplasma gondii Research Studies (1 paper), Immunotherapy and Immune Responses (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Physiology (28 citations), Computational Theory and Mathematics (77 citations), Cell Biology (66 citations), Molecular Biology (274 citations) and Epidemiology (104 citations). Nancy S. Wang has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Edmunds Reineks, Clark Distelhorst, Mikko Unkila, Zhengqi Wang, Michael J. Thomenius, Gerd Heimlich, Uno Johansson, Katarina Kågedal, Karin Roberg and Karin Öllinger. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Medicinal Chemistry Research, Molecular Therapy and International Journal of Experimental Pathology.
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.