Erqiang Hu

14.5k total citations · 5 hit papers
16 papers, 7.9k citations indexed

About

Erqiang Hu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Erqiang Hu has authored 16 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Computational Theory and Mathematics. Recurrent topics in Erqiang Hu's work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers) and RNA modifications and cancer (4 papers). Erqiang Hu is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers) and RNA modifications and cancer (4 papers). Erqiang Hu collaborates with scholars based in China and United States. Erqiang Hu's co-authors include Guangchuang Yu, Tianzhi Wu, Li Zhan, Shuangbin Xu, Wenli Tang, Meijun Chen, Lang Zhou, Tingze Feng, Zehan Dai and Xiaochen Bo and has published in prestigious journals such as Nature Protocols, Molecular Biology and Evolution and Journal of Cellular Physiology.

In The Last Decade

Erqiang Hu

15 papers receiving 7.9k citations

Hit Papers

5 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.

clusterProfiler 4.0: A universal enrichment tool for interpreting omics data

2021 7.1k citations Tianzhi Wu, Erqiang Hu et al. The Innovation profile →
Using clusterProfiler to characterize multiomics data

2024 263 citations Shuangbin Xu, Erqiang Hu et al. Nature Protocols profile →
ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data

2021 177 citations Shuangbin Xu, Zehan Dai et al. Molecular Biology and Evolution profile →
Exploring Epigenomic Datasets by ChIPseeker

2022 172 citations Qianwen Wang, Ming Li et al. Current Protocols profile →
MicrobiotaProcess: A comprehensive R package for deep mining microbiome

2023 154 citations Shuangbin Xu, Li Zhan et al. The Innovation profile →

Peers

Erqiang Hu

IMMUN

PRM

ONCOL

Tianzhi Wu China

Xiaochen Bo China

Tingze Feng China

Xiaocong Fu China

Zehan Dai China

Li Zhan China

Shuangbin Xu China

Wenli Tang China

Yunshun Chen Australia

Tianzhi Wu China

Erqiang Hu

4.5k ×1.0

1.4k ×1.0

IMMUN

1.4k ×1.0

1.0k ×1.0

PRM

973 ×1.0

ONCOL

Citations per year, relative to Erqiang Hu Erqiang Hu (= 1×) peers Tianzhi Wu

Countries citing papers authored by Erqiang Hu

Since Specialization

Citations

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

Fields of papers citing papers by Erqiang Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erqiang Hu

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Hu, Erqiang, J. An, A. Gersten, et al.. (2025). Virusplot: a web server for viral integration analysis and visualization. Frontiers in Oncology. 15. 1539782–1539782.

Xu, Shuangbin, Erqiang Hu, Yantong Cai, et al.. (2024). Using clusterProfiler to characterize multiomics data. Nature Protocols. 19(11). 3292–3320. 263 indexed citations breakdown →

Xu, Shuangbin, Li Zhan, Wenli Tang, et al.. (2023). MicrobiotaProcess: A comprehensive R package for deep mining microbiome. The Innovation. 4(2). 100388–100388. 154 indexed citations breakdown →

Feng, Tingze, Tianzhi Wu, Yanxia Zhang, et al.. (2022). Stemness Analysis Uncovers That The Peroxisome Proliferator-Activated Receptor Signaling Pathway Can Mediate Fatty Acid Homeostasis In Sorafenib-Resistant Hepatocellular Carcinoma Cells. Frontiers in Oncology. 12. 912694–912694. 7 indexed citations

Wang, Qianwen, Ming Li, Tianzhi Wu, et al.. (2022). Exploring Epigenomic Datasets by ChIPseeker. Current Protocols. 2(10). e585–e585. 172 indexed citations breakdown →

Xu, Shuangbin, Zehan Dai, Xiaocong Fu, et al.. (2021). ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data. Molecular Biology and Evolution. 38(9). 4039–4042. 177 indexed citations breakdown →

Wu, Tianzhi, Erqiang Hu, Shuangbin Xu, et al.. (2021). clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. The Innovation. 2(3). 100141–100141. 7083 indexed citations breakdown →

Liu, Shanshan, Guangchuang Yu, Li Liu, et al.. (2021). Identification of Prognostic Stromal-Immune Score–Based Genes in Hepatocellular Carcinoma Microenvironment. Frontiers in Genetics. 12. 625236–625236. 4 indexed citations

Wu, Tianzhi, Erqiang Hu, Xijin Ge, & Guangchuang Yu. (2021). nCov2019: an R package for studying the COVID-19 coronavirus pandemic. PeerJ. 9. e11421–e11421. 6 indexed citations

10.

Wang, Yahui, et al.. (2020). Integration of SNP Disease Association, eQTL, and Enrichment Analyses to Identify Risk SNPs and Susceptibility Genes in Chronic Obstructive Pulmonary Disease. BioMed Research International. 2020(1). 3854196–3854196. 4 indexed citations

11.

Wang, Yahui, Yang Liu, Wenshuai Li, et al.. (2020). A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy. Bioscience Reports. 40(1). 3 indexed citations

12.

Wan, Li, Yihua Zhang, Erqiang Hu, et al.. (2020). Network‐based integration method for potential breast cancer gene identification. Journal of Cellular Physiology. 235(11). 7960–7969. 1 indexed citations

13.

Hu, Erqiang, Li Wan, Chengcheng Yang, et al.. (2019). Association of PD-1 polymorphisms with the risk and prognosis of lung adenocarcinoma in the northeastern Chinese Han population. BMC Medical Genetics. 20(1). 177–177. 12 indexed citations

14.

Wan, Li, Ji Zhang, Erqiang Hu, et al.. (2019). Identification of breast cancer risk modules via an integrated strategy. Aging. 11(24). 12131–12146. 7 indexed citations

15.

Wan, Li, Xue Bai, Erqiang Hu, et al.. (2017). Identification of breast cancer prognostic modules based on weighted protein-protein interaction networks. Oncology Letters. 13(5). 3935–3941. 4 indexed citations

16.

Wan, Li, Lian‐Sheng Li, Shiying Zhang, et al.. (2016). Identification of potential genes for human ischemic cardiomyopathy based on RNA-Seq data. Oncotarget. 7(50). 82063–82073. 6 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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