Jackson Wan
Impact in
- Molecular Biology top 10%
- Molecular Biology Techniques and Applications
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- Cancer Research top 10%
Papers in
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- Molecular Biology Techniques and Applications 3
- Gene expression and cancer classification 2
- RNA and protein synthesis mechanisms 2
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- Neuroscience and Neuropharmacology Research 2
- 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 Salunga (2 shared papers)Jose Galindo (2 shared papers)Fredrik Kamme (3 shared papers)
- Journals
- Biochemical Pharmacology (2 papers)Nature Medicine (1 paper)Microbial Physiology (1 paper)Journal of Virology (1 paper)Cellular Immunology (1 paper)
- Partner nations
- United StatesPolandIsrael
In The Last Decade
Jackson Wan
14 papers receiving 1.8k citations
Jackson Wan's Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.1k
- Cancer Research 180
- Biophysics 51
- Molecular Medicine 41
- Developmental Neuroscience 31
Countries citing papers authored by Jackson Wan
This map shows the geographic impact of Jackson 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 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 Wan more than expected).
Fields of papers citing papers by Jackson Wan
This network shows the impact of papers produced by Jackson 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 Wan. The network helps show where Jackson Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jackson 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 | 605 |
| 2 | 2003 | 238 | |
| 3 | 1999 | 212 | |
| 4 | 2004 | 207 | |
| 5 | 1996 | 128 | |
| 6 | 2006 | 123 | |
| 7 | 2003 | 116 | |
| 8 | 2004 | 64 | |
| 9 | 2004 | 43 | |
| 10 | 2004 | 28 | |
| 11 | 2004 | 22 | |
| 12 | 2003 | 11 | |
| 13 | 2003 | 6 | |
| 14 | 2004 | 5 |
About Jackson Wan
Jackson Wan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Immunology and Pathology and Forensic Medicine, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (2 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Animal Genetics and Reproduction (1 paper), Bone and Dental Protein Studies (1 paper), Fuel Cells and Related Materials (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (180 citations), Biophysics (51 citations), Molecular Medicine (41 citations) and Developmental Neuroscience (31 citations). Jackson Wan has collaborated with scholars based in United States, Poland and Israel. Frequent co-authors include Anton Bittner, Mark G. Erlander, Hongqing Guo, Michael R. Jackson, Lin Luo, Ranelle Salunga, Jose Galindo, Fredrik Kamme, Kathryn E. Rogers and C. Trautmann. Their work appears in journals such as Biochemical Pharmacology, Nature Medicine, Microbial Physiology, Journal of Virology and Cellular Immunology.
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.