Li‐San Wang

21.0k total citations · 1 hit paper
92 papers, 4.4k citations indexed

About

Li‐San Wang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Li‐San Wang has authored 92 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 33 papers in Genetics and 14 papers in Cancer Research. Recurrent topics in Li‐San Wang's work include Genomics and Phylogenetic Studies (20 papers), Bioinformatics and Genomic Networks (17 papers) and Genetic Associations and Epidemiology (16 papers). Li‐San Wang is often cited by papers focused on Genomics and Phylogenetic Studies (20 papers), Bioinformatics and Genomic Networks (17 papers) and Genetic Associations and Epidemiology (16 papers). Li‐San Wang collaborates with scholars based in United States, United Kingdom and France. Li‐San Wang's co-authors include Pedro J. Cejas, Erika L. Pearce, Matthew C. Walsh, Yongwon Choi, Hao Shen, Russell G. Jones, Tandy Warnow, Brian D. Gregory, F. Brad Johnson and Kajia Cao and has published in prestigious journals such as Nature, Nucleic Acids Research and Genes & Development.

In The Last Decade

Li‐San Wang

86 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Enhancing CD8 T-cell memory by modulating fatty acid metabolism

2009 1.2k citations Li‐San Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Li‐San Wang United States	30	2.7k	951	718	650	579	92	4.4k
Priit Adler Estonia	13	3.5k 1.3×	823 0.9×	857 1.2×	939 1.4×	356 0.6×	18	6.0k
Liis Kolberg Estonia	7	2.8k 1.0×	621 0.7×	858 1.2×	664 1.0×	312 0.5×	9	4.9k
Hedi Peterson Estonia	20	3.9k 1.4×	896 0.9×	1.0k 1.4×	945 1.5×	386 0.7×	33	6.5k
Ivan Kuzmin Estonia	6	2.4k 0.9×	486 0.5×	714 1.0×	532 0.8×	255 0.4×	9	4.1k
Peter A.C. ’t Hoen Netherlands	47	6.1k 2.2×	511 0.5×	1.0k 1.4×	1.2k 1.8×	762 1.3×	207	7.9k
Maxim N. Shokhirev United States	38	3.6k 1.3×	499 0.5×	430 0.6×	550 0.8×	674 1.2×	78	5.3k
Uku Raudvere Estonia	4	2.2k 0.8×	461 0.5×	639 0.9×	515 0.8×	243 0.4×	4	3.9k
Hideya Kawaji Japan	40	4.2k 1.5×	927 1.0×	499 0.7×	1.3k 2.0×	300 0.5×	126	5.7k
Jüri Reimand Canada	26	4.3k 1.6×	634 0.7×	818 1.1×	1.4k 2.2×	261 0.5×	57	6.3k

Countries citing papers authored by Li‐San Wang

Since Specialization

Citations

This map shows the geographic impact of Li‐San Wang'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 Li‐San Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐San Wang more than expected).

Fields of papers citing papers by Li‐San Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐San Wang. 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 Li‐San Wang. The network helps show where Li‐San Wang may publish in the future.

Co-authorship network of co-authors of Li‐San Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐San Wang. A scholar is included among the top collaborators of Li‐San Wang 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 Li‐San Wang. Li‐San Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Li‐San, Yuk Yee Leung, Wan‐Ping Lee, et al.. (2024). Genomic Frontiers in Alzheimer’s Research: A Primer on the Alzheimer’s Disease Sequencing Project (ADSP) and its AI/ML Opportunities. Alzheimer s & Dementia. 20(S1). e087888–e087888. 1 indexed citations

Burton, Elizabeth A., Chun-Hung Su, Elisabetta Manduchi, et al.. (2024). Variant‐to‐function mapping of late‐onset Alzheimer’s disease GWAS loci in human microglial models implicates RTFDC1 as an effector gene at the CASS4 locus. Alzheimer s & Dementia. 20(S1). e089683–e089683.

Greenfest‐Allen, Emily, Otto Valladares, Pavel P. Kuksa, et al.. (2023). NIAGADS Alzheimer's GenomicsDB: A resource for exploring Alzheimer's disease genetic and genomic knowledge. Alzheimer s & Dementia. 20(2). 1123–1136. 11 indexed citations

Lee, Haeok, Hoehun Ha, Hyun‐Sik Yang, et al.. (2023). Using community-based geographical information system (GIS) to recruit older Asian Americans in an Alzheimer’s disease study. BMJ Open. 13(8). e072761–e072761. 2 indexed citations

Wang, Hui, Li‐San Wang, Gerard D. Schellenberg, & Wan‐Ping Lee. (2023). The role of structural variations in Alzheimer’s disease and other neurodegenerative diseases. Frontiers in Aging Neuroscience. 14. 1073905–1073905. 12 indexed citations

Kuksa, Pavel P., Yuk Yee Leung, Prabhakaran Gangadharan, et al.. (2022). FILER: a framework for harmonizing and querying large-scale functional genomics knowledge. NAR Genomics and Bioinformatics. 4(1). lqab123–lqab123. 7 indexed citations

Ho, Pei‐Chuan, et al.. (2021). Reconcile the debate over protective effects of BCG vaccine against COVID-19. Scientific Reports. 11(1). 8356–8356. 23 indexed citations

Kuksa, Pavel P., Alexandre Amlie‐Wolf, Yih-Chii Hwang, et al.. (2020). HIPPIE2: a method for fine-scale identification of physically interacting chromatin regions. NAR Genomics and Bioinformatics. 2(2). lqaa022–lqaa022. 2 indexed citations

Kuksa, Pavel P., Chien‐Yueh Lee, Alexandre Amlie‐Wolf, et al.. (2020). SparkINFERNO: a scalable high-throughput pipeline for inferring molecular mechanisms of non-coding genetic variants. Bioinformatics. 36(12). 3879–3881. 7 indexed citations

10.

Leung, Yuk Yee, Otto Valladares, Yi‐Fan Chou, et al.. (2018). VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project. Bioinformatics. 35(10). 1768–1770. 20 indexed citations

11.

Zhou, Zilu, et al.. (2018). Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics. 34(14). 2349–2355. 8 indexed citations

12.

Nativio, Raffaella, Greg Donahue, Amit Berson, et al.. (2018). Publisher Correction: Dysregulation of the epigenetic landscape of normal aging in Alzheimer’s disease. Nature Neuroscience. 21(7). 1018–1018. 13 indexed citations

13.

Mirarab, Siavash, Nam Nguyen, Sheng Guo, et al.. (2014). PASTA: Ultra-Large Multiple Sequence Alignment for Nucleotide and Amino-Acid Sequences. Journal of Computational Biology. 22(5). 377–386. 281 indexed citations

14.

Ryvkin, Paul, Yuk Yee Leung, Lyle Ungar, Brian D. Gregory, & Li‐San Wang. (2013). Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs. Methods. 67(1). 28–35. 9 indexed citations

15.

Platt, Jesse M., Paul Ryvkin, Jennifer J. Wanat, et al.. (2013). Rap1 relocalization contributes to the chromatin-mediated gene expression profile and pace of cell senescence. Genes & Development. 27(12). 1406–1420. 63 indexed citations

16.

Ryvkin, Paul, Steven G. Hershman, Li‐San Wang, & F. Brad Johnson. (2009). Computational Approaches to the Detection and Analysis of Sequences with Intramolecular G-Quadruplex Forming Potential. Methods in molecular biology. 608. 39–50. 8 indexed citations

17.

Hershman, Steven G., Qijun Chen, Julia Y. Lee, et al.. (2007). Genomic distribution and functional analyses of potential G-quadruplex-forming sequences in Saccharomyces cerevisiae. Nucleic Acids Research. 36(1). 144–156. 234 indexed citations

18.

Singh, Larry N., Li‐San Wang, & Sridhar Hannenhalli. (2007). TREMOR—a tool for retrieving transcriptional modules by incorporating motif covariance. Nucleic Acids Research. 35(21). 7360–7371. 5 indexed citations

19.

Harb, Boulos, et al.. (2006). Weighted isotonic regression under the L1 norm. Symposium on Discrete Algorithms. 783–791. 11 indexed citations

20.

Cosner, Mary E., et al.. (2000). A new fast heuristic for computing the breakpoint phylogeny and a phylogenetic analysis of a group of highly rearranged chloroplast genomes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 104–115. 8 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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