Raymond Wan

2.8k total citations · 1 hit paper
27 papers, 1.7k citations indexed

About

Raymond Wan is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Raymond Wan has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Artificial Intelligence and 6 papers in Epidemiology. Recurrent topics in Raymond Wan's work include Algorithms and Data Compression (7 papers), Reproductive tract infections research (6 papers) and Genomics and Phylogenetic Studies (5 papers). Raymond Wan is often cited by papers focused on Algorithms and Data Compression (7 papers), Reproductive tract infections research (6 papers) and Genomics and Phylogenetic Studies (5 papers). Raymond Wan collaborates with scholars based in Hong Kong, Japan and United States. Raymond Wan's co-authors include Paul Horton, Martin C. Frith, Szymon M. Kiełbasa, Kengo Sato, Tom H. Cheung, Elisa Négroni, Gary J. He, Shahragim Tajbakhsh, Aurélien Corneau and Hiroshi Sakai and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Raymond Wan

25 papers receiving 1.7k citations

Hit Papers

Adaptive seeds tame genomic sequence comparison 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raymond Wan Hong Kong 12 1.2k 288 246 220 188 27 1.7k
Ankit Gupta India 23 1.8k 1.5× 198 0.7× 305 1.2× 128 0.6× 46 0.2× 61 2.4k
Alexander Dilthey Germany 22 1.1k 1.0× 330 1.1× 568 2.3× 145 0.7× 37 0.2× 45 2.1k
Saskia Hiltemann Netherlands 13 1.8k 1.5× 427 1.5× 351 1.4× 419 1.9× 71 0.4× 25 2.9k
Ofir Cohen Israel 21 1.4k 1.2× 346 1.2× 395 1.6× 426 1.9× 54 0.3× 55 2.4k
Baback Gharizadeh United States 26 1.4k 1.2× 206 0.7× 312 1.3× 440 2.0× 112 0.6× 57 2.8k
Matthew Loose United Kingdom 23 1.6k 1.4× 205 0.7× 420 1.7× 158 0.7× 33 0.2× 62 2.2k
Liliana Florea United States 28 2.3k 2.0× 535 1.9× 972 4.0× 299 1.4× 55 0.3× 68 4.0k
Erliang Zeng United States 19 739 0.6× 138 0.5× 192 0.8× 177 0.8× 45 0.2× 64 1.4k
Ole Schulz-Trieglaff Germany 13 1.8k 1.6× 260 0.9× 563 2.3× 250 1.1× 45 0.2× 18 2.8k
Richard Desper United States 16 1.6k 1.4× 483 1.7× 620 2.5× 430 2.0× 57 0.3× 21 2.4k

Countries citing papers authored by Raymond Wan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Raymond Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Wan. A scholar is included among the top collaborators of Raymond Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raymond Wan. Raymond Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fan, Baoqi, Claudia H.T. Tam, Raymond Wan, et al.. (2024). A polygenic risk score derived from common variants of monogenic diabetes genes is associated with young-onset type 2 diabetes and cardiovascular–kidney complications. Diabetologia. 68(2). 367–381. 2 indexed citations
2.
Wan, Raymond, et al.. (2020). Dek Modulates Global Intron Retention during Muscle Stem Cells Quiescence Exit. Developmental Cell. 53(6). 661–676.e6. 68 indexed citations
3.
Wan, Raymond, et al.. (2019). Dek Modulates Global Intron Retention to Control Quiescence Exit in Muscle Stem Cells. SSRN Electronic Journal. 1 indexed citations
4.
Wal, Erik van der, Raymond Wan, Stijn L.M. in ‘t Groen, et al.. (2018). Large-Scale Expansion of Human iPSC-Derived Skeletal Muscle Cells for Disease Modeling and Cell-Based Therapeutic Strategies. Stem Cell Reports. 10(6). 1975–1990. 79 indexed citations
5.
Giordani, Lorenzo, Gary J. He, Elisa Négroni, et al.. (2018). High-Dimensional Single-Cell Cartography Reveals Novel Skeletal Muscle Resident Cell Populations. SSRN Electronic Journal. 2 indexed citations
6.
Smelov, Vitaly, Alison Vrbanac, Marlies P. Noz, et al.. (2017). Chlamydia trachomatis Strain Types Have Diversified Regionally and Globally with Evidence for Recombination across Geographic Divides. Frontiers in Microbiology. 8. 2195–2195. 17 indexed citations
7.
Wan, Raymond, et al.. (2014). Query Modification through External Sources to Support Clinical Decisions. Text REtrieval Conference. 4 indexed citations
8.
Batteiger, Byron E., et al.. (2014). Novel Chlamydia trachomatis Strains in Heterosexual Sex Partners, Indianapolis, Indiana, USA. Emerging infectious diseases. 20(11). 1841–1847.
9.
Batteiger, Byron E., et al.. (2014). NovelChlamydia trachomatisStrains in Heterosexual Sex Partners, Indianapolis, Indiana, USA. Emerging infectious diseases. 20(11). 1841–1847. 12 indexed citations
10.
Li, Jing‐Woei, Raymond Wan, Allen Chi-Shing Yu, et al.. (2013). ViralFusionSeq: accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution. Bioinformatics. 29(5). 649–651. 59 indexed citations
11.
Kiełbasa, Szymon M., Raymond Wan, Kengo Sato, Paul Horton, & Martin C. Frith. (2011). Adaptive seeds tame genomic sequence comparison. Genome Research. 21(3). 487–493. 853 indexed citations breakdown →
12.
Somboonna, Naraporn, Raymond Wan, David M. Ojcius, et al.. (2011). Hypervirulent Chlamydia trachomatis Clinical Strain Is a Recombinant between Lymphogranuloma Venereum (L 2 ) and D Lineages. mBio. 2(3). e00045–11. 80 indexed citations
13.
Wan, Raymond, Vo Ngoc Anh, & Kiyoshi Asai. (2011). Transformations for the compression of FASTQ quality scores of next-generation sequencing data. Bioinformatics. 28(5). 628–635. 43 indexed citations
14.
Frith, Martin C., Raymond Wan, & Paul Horton. (2010). Incorporating sequence quality data into alignment improves DNA read mapping. Nucleic Acids Research. 38(7). e100–e100. 58 indexed citations
15.
Dean, Deborah, William Bruno, Raymond Wan, et al.. (2009). Predicting Phenotype and Emerging Strains amongChlamydia trachomatisInfections. Emerging infectious diseases. 15(9). 1385–1394. 73 indexed citations
16.
Wan, Raymond, et al.. (2009). HAMSTER: visualizing microarray experiments as a set of minimum spanning trees. SHILAP Revista de lepidopterología. 4(1). 8–8. 1 indexed citations
17.
Wan, Raymond, Vo Ngoc Anh, & Hiroshi Mamitsuka. (2007). Passage Retrieval with Vector Space and Query-Level Aspect Models.. Text REtrieval Conference. 3 indexed citations
18.
Wan, Raymond, Ichigaku Takigawa, Hiroshi Mamitsuka, & Vo Ngoc Anh. (2006). Combining Vector-Space and Word-based Aspect Models for Passage Retrieval. Text REtrieval Conference. 6 indexed citations
19.
Wan, Raymond & Alistair Moffat. (2006). Block merging for off‐line compression. Journal of the American Society for Information Science and Technology. 58(1). 3–14. 5 indexed citations
20.
Wan, Raymond & Alistair Moffat. (2002). Effective compression for the Web: exploiting document linkages. 27. 68–75. 1 indexed citations

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.

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