Aiming Sun
Impact in
- Molecular Medicine top 0.5%
- Curcumin's Biomedical Applications
- Toxicology top 5%
Papers in
-
- Curcumin's Biomedical Applications 8
- Epidemiology 17
- Virology and Viral Diseases 15
- Respiratory viral infections research 9
- Co-authors
- James P. Snyder (37 shared papers)Dennis C. Liotta (20 shared papers)Mamoru Shoji (11 shared papers)Richard Karl Plemper (17 shared papers)Yang Lu (7 shared papers)Yuhong Du (9 shared papers)Jeong-Joong Yoon (8 shared papers)Haian Fu (10 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)ACS Medicinal Chemistry Letters (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Integrative Biology (2 papers)
- Partner nations
- United StatesPolandChina
In The Last Decade
Aiming Sun
42 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Molecular Medicine 549
- Toxicology 63
- Virology 85
- Pharmaceutical Science 103
- Epidemiology 491
Countries citing papers authored by Aiming Sun
This map shows the geographic impact of Aiming Sun'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 Aiming Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiming Sun more than expected).
Fields of papers citing papers by Aiming Sun
This network shows the impact of papers produced by Aiming Sun. 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 Aiming Sun. The network helps show where Aiming Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Aiming Sun, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 197 | |
| 2 | 2005 | 193 | |
| 3 | 2008 | 148 | |
| 4 | 2010 | 109 | |
| 5 | 2012 | 101 | |
| 6 | 2005 | 85 | |
| 7 | 2004 | 77 | |
| 8 | 2010 | 75 | |
| 9 | 2006 | 74 | |
| 10 | 2015 | 71 | |
| 11 | 2006 | 68 | |
| 12 | 2014 | 64 | |
| 13 | 2007 | 59 | |
| 14 | 2014 | 59 | |
| 15 | 2005 | 54 | |
| 16 | 2009 | 52 | |
| 17 | 2007 | 52 | |
| 18 | 2014 | 47 | |
| 19 | 2006 | 47 | |
| 20 | 2012 | 44 |
About Aiming Sun
Aiming Sun is a scholar working on Molecular Medicine, Epidemiology, Molecular Biology, Virology and Immunology, having authored 43 papers that have together received 2.2k indexed citations. Recurring topics across this work include Virology and Viral Diseases (15 papers), Respiratory viral infections research (9 papers), Curcumin's Biomedical Applications (8 papers), vaccines and immunoinformatics approaches (6 papers), HIV Research and Treatment (4 papers), Synthesis and Characterization of Heterocyclic Compounds (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Molecular Medicine (549 citations), Toxicology (63 citations), Virology (85 citations), Pharmaceutical Science (103 citations) and Epidemiology (491 citations). Aiming Sun has collaborated with scholars based in United States, Poland and China. Frequent co-authors include James P. Snyder, Dennis C. Liotta, Mamoru Shoji, Richard Karl Plemper, Yang Lu, Yuhong Du, Jeong-Joong Yoon, Haian Fu, Thota Ganesh and Terry W. Moore. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry Letters and Integrative 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.