Le Huang

4.6k total citations · 2 hit papers
34 papers, 2.6k citations indexed

About

Le Huang is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Le Huang has authored 34 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Le Huang's work include Advanced Fiber Laser Technologies (5 papers), Genetic Associations and Epidemiology (4 papers) and Laser-Matter Interactions and Applications (4 papers). Le Huang is often cited by papers focused on Advanced Fiber Laser Technologies (5 papers), Genetic Associations and Epidemiology (4 papers) and Laser-Matter Interactions and Applications (4 papers). Le Huang collaborates with scholars based in United States, China and United Kingdom. Le Huang's co-authors include Yanbin Yin, Han Zhang, Zhenglu Yang, Sarah Entwistle, Peizhi Wu, Ying Xu, Peter Kamp Busk, Yuchen Yan, Jinfang Zheng and Xinpeng Zhang and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Le Huang

32 papers receiving 2.6k citations

Hit Papers

dbCAN2: a meta server for automated carbohydrate-active e... 2018 2026 2020 2023 2018 2023 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Le Huang United States 13 1.6k 713 653 405 356 34 2.6k
Sarah Entwistle United States 8 1.2k 0.8× 548 0.8× 565 0.9× 323 0.8× 279 0.8× 10 2.1k
Bin-Bin Xie China 31 1.8k 1.1× 938 1.3× 517 0.8× 639 1.6× 159 0.4× 86 2.8k
Byung Kwon Kim South Korea 14 1.8k 1.2× 1.1k 1.5× 601 0.9× 247 0.6× 235 0.7× 48 2.8k
Ermenegilda Parrilli Italy 29 1.5k 1.0× 794 1.1× 214 0.3× 431 1.1× 203 0.6× 94 2.4k
Peter Stougaard Denmark 29 1.2k 0.8× 458 0.6× 524 0.8× 460 1.1× 200 0.6× 91 2.2k
Ana Hernández-Plaza Spain 5 1.9k 1.2× 894 1.3× 736 1.1× 133 0.3× 272 0.8× 6 3.1k
Boyke Bunk Germany 37 2.2k 1.4× 1.4k 2.0× 621 1.0× 216 0.5× 166 0.5× 195 4.0k
Neha Varghese United States 17 2.3k 1.4× 1.3k 1.9× 602 0.9× 153 0.4× 169 0.5× 42 3.3k
Michael E. Hibbing United States 14 1.4k 0.9× 606 0.8× 759 1.2× 110 0.3× 289 0.8× 17 3.1k

Countries citing papers authored by Le Huang

Since Specialization
Citations

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

Fields of papers citing papers by Le Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le Huang. 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 Le Huang. The network helps show where Le Huang may publish in the future.

Co-authorship network of co-authors of Le Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Le Huang. A scholar is included among the top collaborators of Le Huang 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 Le Huang. Le Huang 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.
Sun, Quan, Le Huang, Margaret F. Doyle, et al.. (2024). Gene expression and splicing QTL analysis of blood cells in African American participants from the Jackson Heart Study. Genetics. 228(1). 2 indexed citations
2.
Wei, Chenhuinan, Yang Zhang, Zhuo Wang, et al.. (2024). Facet engineering of Cu2O for efficient electrochemical glucose sensing. Analytica Chimica Acta. 1336. 343525–343525. 3 indexed citations
3.
Huang, Le, et al.. (2023). Quantifying Individual PM2.5 Exposure with Human Mobility Inferred from Mobile Phone Data. Sustainability. 16(1). 184–184. 2 indexed citations
4.
Huang, Le, Fan Xia, Hui Chen, et al.. (2023). Reconstructing human activities via coupling mobile phone data with location-based social networks. Travel Behaviour and Society. 33. 100606–100606. 16 indexed citations
5.
Zheng, Jinfang, et al.. (2023). dbCAN3: automated carbohydrate-active enzyme and substrate annotation. Nucleic Acids Research. 51(W1). W115–W121. 416 indexed citations breakdown →
6.
Zheng, Jinfang, Boyang Hu, Xinpeng Zhang, et al.. (2022). dbCAN-seq update: CAZyme gene clusters and substrates in microbiomes. Nucleic Acids Research. 51(D1). D557–D563. 47 indexed citations
7.
Liu, Weifang, Quan Sun, Le Huang, et al.. (2022). Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm. Journal of Neurodevelopmental Disorders. 14(1). 16–16. 3 indexed citations
8.
Lee, Lindsay, Armen Abnousi, Miao Yu, et al.. (2022). SnapHiC2: A computationally efficient loop caller for single cell Hi-C data. Computational and Structural Biotechnology Journal. 20. 2778–2783. 13 indexed citations
9.
Sun, Quan, Misa Graff, Jia Wen, et al.. (2021). Analyses of biomarker traits in diverse UK biobank participants identify associations missed by European-centric analysis strategies. Journal of Human Genetics. 67(2). 87–93. 21 indexed citations
10.
Wu, Xiaoxia, et al.. (2021). A Case Report and Literature Review of a Novel Mutation in the MAGED2 Gene of a Patient With Severe Transient Polyhydramnios. Frontiers in Pediatrics. 9. 778814–778814. 7 indexed citations
11.
Yang, Yingxi, Quan Sun, Le Huang, et al.. (2021). eSCAN: scan regulatory regions for aggregate association testing using whole-genome sequencing data. Briefings in Bioinformatics. 23(1). 5 indexed citations
12.
Yi, Haidong, et al.. (2020). AcrFinder: genome mining anti-CRISPR operons in prokaryotes and their viruses. Nucleic Acids Research. 48(W1). W358–W365. 48 indexed citations
13.
Huang, Le, Haidong Yi, Amina Asif, et al.. (2020). AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. Nucleic Acids Research. 49(D1). D622–D629. 38 indexed citations
14.
Sen, Shiraj, Kenneth R. Hess, David S. Hong, et al.. (2018). Development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials. British Journal of Cancer. 118(6). 763–769. 28 indexed citations
15.
Hess, Kenneth R., Jason Roszik, Kenna Shaw, et al.. (2018). Characterization of KEAP1-NRF2 genomic alterations across diverse tumor types: Co-occurring alterations, survival outcomes, and implications for targeting cancer metabolism.. Journal of Clinical Oncology. 36(15_suppl). 2558–2558. 1 indexed citations
16.
Huang, Le, Han Zhang, Peizhi Wu, et al.. (2017). dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation. Nucleic Acids Research. 46(D1). D516–D521. 218 indexed citations
17.
Huang, Le, Sharada Mokkapati, Qianghua Hu, et al.. (2016). Nephron Progenitor But Not Stromal Progenitor Cells Give Rise to Wilms Tumors in Mouse Models with β-Catenin Activation or Wt1 Ablation and Igf2 Upregulation. Neoplasia. 18(2). 71–81. 20 indexed citations
18.
Huang, Le, et al.. (2015). Resonant dispersive wave generation and frequency stability. 1–2. 1 indexed citations
19.
Mokkapati, Sharada, Le Huang, E. Cristy Ruteshouser, et al.. (2014). β-Catenin Activation in a Novel Liver Progenitor Cell Type Is Sufficient to Cause Hepatocellular Carcinoma and Hepatoblastoma. Cancer Research. 74(16). 4515–4525. 72 indexed citations
20.
Huang, Le, et al.. (2000). Involvement of Tcf/Lef in establishing cell types along the animal-vegetal axis of sea urchins. Development Genes and Evolution. 210(2). 73–81. 50 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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