Ruibang Luo

35.2k total citations · 4 hit papers
80 papers, 9.2k citations indexed

About

Ruibang Luo is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Ruibang Luo has authored 80 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 19 papers in Genetics and 14 papers in Artificial Intelligence. Recurrent topics in Ruibang Luo's work include Genomics and Phylogenetic Studies (37 papers), Genomics and Rare Diseases (9 papers) and Chromosomal and Genetic Variations (9 papers). Ruibang Luo is often cited by papers focused on Genomics and Phylogenetic Studies (37 papers), Genomics and Rare Diseases (9 papers) and Chromosomal and Genetic Variations (9 papers). Ruibang Luo collaborates with scholars based in Hong Kong, China and United States. Ruibang Luo's co-authors include Tak‐Wah Lam, Chi-Man Liu, Dinghua Li, Kunihiko Sadakane, Hing‐Fung Ting, Hiroshi Yamashita, Yingrui Li, Jun Wang, Yinlong Xie and Chang Yu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ruibang Luo

73 papers receiving 9.1k 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.

MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

2015 5.5k citations Dinghua Li, Chi-Man Liu et al. Bioinformatics profile →
MEGAHIT v1.0: A fast and scalable metagenome assembler driven by advanced methodologies and community practices

2016 1.2k citations Dinghua Li, Ruibang Luo et al. profile →
SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads

2014 634 citations Yinlong Xie, Jingbo Tang et al. Bioinformatics profile →
Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

2022 139 citations Zhenxian Zheng, Shumin Li et al. Nature Computational Science profile →

Peers

Countries citing papers authored by Ruibang Luo

Since Specialization

Citations

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

Fields of papers citing papers by Ruibang Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruibang Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Ruibang Luo. A scholar is included among the top collaborators of Ruibang Luo 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 Ruibang Luo. Ruibang Luo 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

#	Work	Indexed citations
1	AutoPM3: enhancing variant interpretation via LLM-driven PM3 evidence extraction from scientific literature 2025 ·Bioinformatics ·Shumin Li, (unknown), (unknown), Yuanhua Huang, Tak‐Wah Lam, Ruibang Luo	1
2	ClairS-TO: a deep-learning method for long-read tumor-only somatic small variant calling 2025 ·Nature Communications ·(unknown), Zhenxian Zheng, Junhao Su, (unknown), (unknown), (unknown), (unknown), Ruibang Luo	0
3	Real-time raw signal genomic analysis using fully integrated memristor hardware 2025 ·Nature Computational Science ·(unknown), (unknown), (unknown), (unknown), (unknown), Giacomo Pedretti, Jim Ignowski, John Paul Strachan, Ruibang Luo, Can Li	0
4	Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach 2025 ·PLoS ONE ·(unknown), (unknown), Qiuyan Yu, Joseph E. Blais, Eric Yuk Fai Wan, Chun‐Ka Wong, Kathryn Tan, (unknown), Kai Hang Yiu, Esther W. Chan, Doris Sau Fung Yu, William Chi Wai Wong, Tak‐Wah Lam, Ian Chi Kei Wong, Ruibang Luo, Celine Sze Ling Chui	1
5	Assessing the reproducibility, stability, and biological interpretability of multimodal computed tomography image features for prognosis in advanced non‐small cell lung cancer 2024 ·SHILAP Revista de lepidopterología ·Jiajun Wang, (unknown), Xiufang Ren, (unknown), Ruibang Luo, (unknown), Kexue Deng, Jiangdian Song	0
6	Development and validation of risk prediction model for recurrent cardiovascular events among Chinese: the Personalized CARdiovascular DIsease risk Assessment for Chinese model 2024 ·European Heart Journal - Digital Health ·(unknown), (unknown), Qiuyan Yu, Joseph E. Blais, Eric Yuk Fai Wan, Marco Lee, Chun‐Ka Wong, (unknown), (unknown), Esther W. Chan, Tak‐Wah Lam, (unknown), Ian Chi Kei Wong, Ruibang Luo, Celine Sze Ling Chui	3
7	Repun: an accurate small variant representation unification method for multiple sequencing platforms 2024 ·Briefings in Bioinformatics ·Zhenxian Zheng, (unknown), (unknown), (unknown), Shumin Li, (unknown), Tak‐Wah Lam, Ruibang Luo	1
8	Unveiling promising drug targets for autism spectrum disorder: insights from genetics, transcriptomics, and proteomics 2024 ·Briefings in Bioinformatics ·Rui Jiang, (unknown), (unknown), Jianyi Chen, Ruibang Luo, Ruijie Zeng, (unknown), (unknown), Panpan Sun, Qizhou Lian, Felix W. Leung, Yufeng Liu, (unknown), Hao Chen	4
9	Unraveling the genetic susceptibility of irritable bowel syndrome: integrative genome-wide analyses in 845 492 individuals: a diagnostic study 2024 ·International Journal of Surgery ·(unknown), Lijun Zhang, (unknown), (unknown), (unknown), (unknown), Jiaxuan Wang, (unknown), (unknown), Yanjun Wu, Ruibang Luo, (unknown), (unknown), Hao Chen	1
10	Long-Read Sequencing with Hierarchical Clustering for Antiretroviral Resistance Profiling of Mixed Human Immunodeficiency Virus Quasispecies 2023 ·Clinical Chemistry ·(unknown), Junhao Su, (unknown), (unknown), (unknown), Amy Wing-Sze Leung, (unknown), (unknown), (unknown), (unknown), Kenneth Leung, (unknown), Wing-Cheong Yam, Ruibang Luo, G. G. Siu	5
11	HKG: an open genetic variant database of 205 Hong Kong cantonese exomes 2022 ·NAR Genomics and Bioinformatics ·Min Ou, (unknown), Amy Wing-Sze Leung, Ho‐Ming Luk, Bin Yan, Chi-Man Liu, (unknown), (unknown), (unknown), (unknown), Tak‐Wah Lam, Ivan F. M. Lo, Ruibang Luo	3
12	Clair3-trio: high-performance Nanopore long-read variant calling in family trios with trio-to-trio deep neural networks 2022 ·Briefings in Bioinformatics ·Junhao Su, Zhenxian Zheng, (unknown), Tak‐Wah Lam, Ruibang Luo	15
13	Assembly-free discovery of human novel sequences using long reads 2022 ·DNA Research ·(unknown), Bin Yan, Tak‐Wah Lam, Ruibang Luo	1
14	RENET2: high-performance full-text gene–disease relation extraction with iterative training data expansion 2021 ·NAR Genomics and Bioinformatics ·Junhao Su, Ye Wu, Hing‐Fung Ting, Tak‐Wah Lam, Ruibang Luo	8
15	16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model 2017 ·GigaScience ·Ruibang Luo, Michael C. Schatz, Steven L. Salzberg	9
16	First Draft Genome Sequence of the Pathogenic Fungus Lomentospora prolificans (Formerly Scedosporium prolificans ) 2017 ·G3 Genes Genomes Genetics ·Ruibang Luo, Aleksey V. Zimin, (unknown), Yunfan Fan, Geo Pertea, Nina T. Grossman, Maggie P. Wear, Bei Jia, Heather B. Miller, Arturo Casadevall, Winston Timp, Sean X. Zhang, Steven L. Salzberg	16
17	BASE: a practical de novo assembler for large genomes using long NGS reads 2016 ·BMC Genomics ·Binghang Liu, Chi-Man Liu, Dinghua Li, Yingrui Li, Hing‐Fung Ting, Siu‐Ming Yiu, Ruibang Luo, Tak‐Wah Lam	7
18	MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph breakdown → 2015 ·Bioinformatics ·Dinghua Li, Chi-Man Liu, Ruibang Luo, Kunihiko Sadakane, Tak‐Wah Lam	5497
19	From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics 2015 ·PLoS ONE ·Alejandra González-Beltrán, Peter Li, Jun Zhao, (unknown), Marco Roos, Mark Thompson, Eelke van der Horst, Rajaram Kaliyaperumal, Ruibang Luo, TL Lee, Tak‐Wah Lam, Scott Edmunds, Susanna‐Assunta Sansone, Philippe Rocca‐Serra	23
20	SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads breakdown → 2014 ·Bioinformatics ·Yinlong Xie, (unknown), Jingbo Tang, Ruibang Luo, Jordan Patterson, Shanlin Liu, Weihua Huang, (unknown), Shengchang Gu, Shengkang Li, Xin Zhou, Tak‐Wah Lam, Yingrui Li, Xun Xu, Gane Ka‐Shu Wong, Jun Wang	634

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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