Jackson S. Wan
Impact in
- Molecular Biology top 10%
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Single-cell and spatial transcriptomics
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
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- Drug-Induced Hepatotoxicity and Protection 2
-
- Immunotherapy and Immune Responses 1
- Reproductive System and Pregnancy 1
- Co-authors
- Anton Bittner (8 shared papers)Mark G. Erlander (6 shared papers)Hongqing Guo (3 shared papers)Michael R. Jackson (3 shared papers)Lin Luo (3 shared papers)Ranelle C. Salunga (2 shared papers)Jose E. Galindo (2 shared papers)Kathryn E. Rogers (1 shared paper)
- Journals
- Biochemical Pharmacology (2 papers)Endocrine Research (1 paper)Microbial Physiology (1 paper)Nature Medicine (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Jackson S. Wan
14 papers receiving 1.6k citations
Jackson S. Wan's Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 477
- Cancer Research 95
- Pharmacology 56
- Developmental Neuroscience 14
- Epidemiology 129
Countries citing papers authored by Jackson S. Wan
This map shows the geographic impact of Jackson S. Wan'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 Jackson S. Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackson S. Wan more than expected).
Fields of papers citing papers by Jackson S. Wan
This network shows the impact of papers produced by Jackson S. Wan. 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 Jackson S. Wan. The network helps show where Jackson S. Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jackson S. Wan, 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 | Gene expression profiles of laser-captured adjacent neuronal subtypes Hit paper breakdown → | 1999 | 612 |
| 2 | 2003 | 243 | |
| 3 | 1999 | 223 | |
| 4 | 2006 | 136 | |
| 5 | 1996 | 132 | |
| 6 | 2003 | 117 | |
| 7 | 2004 | 69 | |
| 8 | 2007 | 62 | |
| 9 | 2004 | 47 | |
| 10 | 2004 | 30 | |
| 11 | 2004 | 24 | |
| 12 | 2003 | 12 | |
| 13 | 2003 | 6 | |
| 14 | 2004 | 5 |
About Jackson S. Wan
Jackson S. Wan is a scholar working on Pharmacology, Immunology, Cancer Research, Molecular Biology and Computational Theory and Mathematics, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Bioinformatics and Genomic Networks (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Carcinogens and Genotoxicity Assessment (1 paper), Bacterial Genetics and Biotechnology (1 paper), Immunotherapy and Immune Responses (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Molecular Biology (477 citations), Cancer Research (95 citations), Pharmacology (56 citations), Developmental Neuroscience (14 citations) and Epidemiology (129 citations). Jackson S. Wan has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Anton Bittner, Mark G. Erlander, Hongqing Guo, Michael R. Jackson, Lin Luo, Ranelle C. Salunga, Jose E. Galindo, Kathryn E. Rogers, Nancy Miller and Per A. Peterson. Their work appears in journals such as Biochemical Pharmacology, Endocrine Research, Microbial Physiology, Nature Medicine and Journal of Neuroscience.
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.