Raymond Wan
Impact in
- Microbiology top 2%
- Reproductive tract infections research
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- Muscle Physiology and Disorders
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
-
- Muscle Physiology and Disorders 4
- RNA and protein synthesis mechanisms 3
-
- Algorithms and Data Compression 6
- Natural Language Processing Techniques 3
- Topic Modeling 3
- Co-authors
- Martin C. Frith (2 shared papers)Paul Horton (3 shared papers)Szymon M. Kiełbasa (1 shared paper)Kengo Sato (1 shared paper)Tom H. Cheung (5 shared papers)Lorenzo Giordani (2 shared papers)Aurélien Corneau (2 shared papers)Hiroshi Sakai (2 shared papers)
- Journals
- Bioinformatics (3 papers)Emerging infectious diseases (3 papers)Developmental Cell (1 paper)Molecular Cell (1 paper)Diabetologia (1 paper)
- Partner nations
- Hong KongJapanUnited States
In The Last Decade
Raymond Wan
25 papers receiving 1.7k citations
Raymond Wan's Hit Papers
Peers
Comparison fields: 5 of 118
- Microbiology 187
- Molecular Biology 1.1k
- Aging 24
- Genetics 215
- Ecology 191
Countries citing papers authored by Raymond Wan
This map shows the geographic impact of Raymond 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 Raymond Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond Wan more than expected).
Fields of papers citing papers by Raymond Wan
This network shows the impact of papers produced by Raymond 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 Raymond Wan. The network helps show where Raymond Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Raymond 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adaptive seeds tame genomic sequence comparison Hit paper breakdown → | 2011 | 863 |
| 2 | 2019 | 268 | |
| 3 | 2011 | 82 | |
| 4 | 2018 | 80 | |
| 5 | 2009 | 73 | |
| 6 | 2020 | 71 | |
| 7 | 2010 | 60 | |
| 8 | 2013 | 59 | |
| 9 | 2011 | 43 | |
| 10 | 2016 | 24 | |
| 11 | 2017 | 18 | |
| 12 | 2014 | 12 | |
| 13 | 2011 | 9 | |
| 14 | 2005 | 8 | |
| 15 | Combining Vector-Space and Word-based Aspect Models for Passage Retrieval | 2006 | 6 |
| 16 | 2006 | 5 | |
| 17 | Query Modification through External Sources to Support Clinical Decisions | 2014 | 4 |
| 18 | 2010 | 4 | |
| 19 | Passage Retrieval with Vector Space and Query-Level Aspect Models. | 2007 | 3 |
| 20 | 2024 | 3 |
About Raymond Wan
Raymond Wan is a scholar working on Molecular Biology, Artificial Intelligence, Microbiology, Computer Networks and Communications and Epidemiology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (6 papers), Reproductive tract infections research (6 papers), Urinary Tract Infections Management (4 papers), Muscle Physiology and Disorders (4 papers), Natural Language Processing Techniques (3 papers), RNA and protein synthesis mechanisms (3 papers), Topic Modeling (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Microbiology (187 citations), Molecular Biology (1.1k citations), Aging (24 citations), Genetics (215 citations) and Ecology (191 citations). Raymond Wan has collaborated with scholars based in Hong Kong, Japan and United States. Frequent co-authors include Martin C. Frith, Paul Horton, Szymon M. Kiełbasa, Kengo Sato, Tom H. Cheung, Lorenzo Giordani, Aurélien Corneau, Hiroshi Sakai, Gary J. He and Fabien Le Grand. Their work appears in journals such as Bioinformatics, Emerging infectious diseases, Developmental Cell, Molecular Cell and Diabetologia.
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.