Honglong Wu

45.4k total citations · 1 hit paper
54 papers, 2.8k citations indexed

About

Honglong Wu is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Honglong Wu has authored 54 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Epidemiology and 12 papers in Infectious Diseases. Recurrent topics in Honglong Wu's work include Epigenetics and DNA Methylation (9 papers), Bacterial Identification and Susceptibility Testing (8 papers) and Cancer-related gene regulation (6 papers). Honglong Wu is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Bacterial Identification and Susceptibility Testing (8 papers) and Cancer-related gene regulation (6 papers). Honglong Wu collaborates with scholars based in China, Australia and Saudi Arabia. Honglong Wu's co-authors include Jingwen Ai, Wenhong Zhang, Peng Cui, Yu Zhou, Yingle Liu, Dong Guo, Ao Jiang, Yongquan Lin, Jiayi Yang and Ming Guo and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Honglong Wu

53 papers receiving 2.7k citations

Hit Papers

Transcriptomic characteristics of bronchoalveolar lavage ... 2020 2026 2022 2024 2020 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
Honglong Wu China 26 1.0k 968 806 313 293 54 2.8k
Christian Garzoni Switzerland 27 932 0.9× 1.3k 1.3× 545 0.7× 245 0.8× 296 1.0× 71 2.7k
Antonio Toniolo Italy 40 957 0.9× 918 0.9× 1.1k 1.4× 688 2.2× 100 0.3× 148 4.6k
Christian van Delden Switzerland 25 1.0k 1.0× 749 0.8× 828 1.0× 197 0.6× 82 0.3× 78 2.6k
Yoshitomo Morinaga Japan 24 901 0.9× 985 1.0× 438 0.5× 218 0.7× 64 0.2× 171 2.2k
Jing-Jou Yan Taiwan 35 759 0.7× 664 0.7× 614 0.8× 220 0.7× 52 0.2× 75 2.9k
Jung‐Hyun Choi South Korea 30 1.1k 1.1× 934 1.0× 452 0.6× 201 0.6× 43 0.1× 116 2.6k
Donald C. Vinh Canada 26 1.1k 1.1× 1.3k 1.3× 368 0.5× 1.1k 3.4× 68 0.2× 95 2.9k
Ran Nir‐Paz Israel 27 869 0.8× 449 0.5× 382 0.5× 217 0.7× 51 0.2× 98 2.2k
Helen L. Leavis Netherlands 22 318 0.3× 1.1k 1.2× 759 0.9× 386 1.2× 76 0.3× 69 2.2k
Jean‐Louis Gaillard France 43 3.5k 3.4× 2.8k 2.9× 984 1.2× 872 2.8× 200 0.7× 77 5.9k

Countries citing papers authored by Honglong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Honglong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honglong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Honglong Wu. A scholar is included among the top collaborators of Honglong Wu 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 Honglong Wu. Honglong Wu 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.
Wu, Honglong, et al.. (2025). STAT3 mediates CAF-induced osimertinib resistance via regulating protein secretion in non-small cell lung cancer. Frontiers in Pharmacology. 16. 1546491–1546491.
2.
Wang, Xuebin, Zhihao Xie, Youjin Zhang, et al.. (2023). GPMeta: a GPU-accelerated method for ultrarapid pathogen identification from metagenomic sequences. Briefings in Bioinformatics. 24(2). 2 indexed citations
3.
Fu, Zhangfan, Haocheng Zhang, Yi Zhang, et al.. (2022). Evaluations of Clinical Utilization of Metagenomic Next-Generation Sequencing in Adults With Fever of Unknown Origin. Frontiers in Cellular and Infection Microbiology. 11. 745156–745156. 25 indexed citations
4.
Wu, Honglong, et al.. (2021). HCMB: A stable and efficient algorithm for processing the normalization of highly sparse Hi-C contact data. Computational and Structural Biotechnology Journal. 19. 2637–2645. 4 indexed citations
5.
Wu, Honglong, et al.. (2021). Improved cancer biomarkers identification using network-constrained infinite latent feature selection. PLoS ONE. 16(2). e0246668–e0246668. 4 indexed citations
6.
Qian, Yiyi, Hongyu Wang, Yang Zhou, et al.. (2021). Improving Pulmonary Infection Diagnosis with Metagenomic Next Generation Sequencing. Frontiers in Cellular and Infection Microbiology. 10. 567615–567615. 82 indexed citations
7.
Xiong, Yong, Yuan Liu, Liu Cao, et al.. (2020). Transcriptomic characteristics of bronchoalveolar lavage fluid and peripheral blood mononuclear cells in COVID-19 patients. Emerging Microbes & Infections. 9(1). 761–770. 782 indexed citations breakdown →
8.
Jin, Wenting, Qing Miao, Mengran Wang, et al.. (2020). A rare case of adrenal gland abscess due to anaerobes detected by metagenomic next-generation sequencing. Annals of Translational Medicine. 8(5). 247–247. 15 indexed citations
9.
Zou, Yueli, et al.. (2020). Angiostrongyliasis detected by next-generation sequencing in a ELISA-negative eosinophilic meningitis: A case report. International Journal of Infectious Diseases. 97. 177–179. 8 indexed citations
10.
Wang, Qingqing, Qing Miao, Jue Pan, et al.. (2020). The clinical value of metagenomic next-generation sequencing in the microbiological diagnosis of skin and soft tissue infections. International Journal of Infectious Diseases. 100. 414–420. 37 indexed citations
11.
Wang, Xueying, Yang Zhou, Linlin Liu, et al.. (2020). Coronavirus disease 2019 (COVID-19): diagnosis and prognosis. PubMed. 4(2). 96–107. 2 indexed citations
12.
Zhou, Hong, Cixiu Li, Tao Hu, et al.. (2020). Total infectomes of 162 SARS-CoV-2 cases using meta-transcriptomic sequencing. Journal of Infection. 82(1). e44–e48. 6 indexed citations
14.
Zhang, Haocheng, Jingwen Ai, Peng Cui, et al.. (2019). Incremental value of metagenomic next generation sequencing for the diagnosis of suspected focal infection in adults. Journal of Infection. 79(5). 419–425. 69 indexed citations
15.
Zhao, Weili, Honglong Wu, Jun Han, et al.. (2018). [Clinical experience and next-generation sequencing analysis of encephalitis caused by pseudorabies virus].. PubMed. 98(15). 1152–1157. 36 indexed citations
16.
Chen, Xingchun, Lijun Wang, Jiali Zhou, et al.. (2017). Exiguobacterium sp. A1b/GX59 isolated from a patient with community-acquired pneumonia and bacteremia: genomic characterization and literature review. BMC Infectious Diseases. 17(1). 508–508. 25 indexed citations
17.
Castillo‐Fernandez, Juan, Yuk Jing Loke, Fei Gao, et al.. (2017). DNA methylation changes at infertility genes in newborn twins conceived by in vitro fertilisation. Genome Medicine. 9(1). 28–28. 39 indexed citations
18.
Liang, Dan, Honglong Wu, Chunyu Huang, et al.. (2014). Single-base-resolution methylomes of populus trichocarpa reveal the association between DNA methylation and drought stress. BMC Genetics. 15(S1). S9–S9. 137 indexed citations
19.
Zhao, Ming, Siyang Liu, Shuang Luo, et al.. (2014). DNA methylation and mRNA and microRNA expression of SLE CD4+ T cells correlate with disease phenotype. Journal of Autoimmunity. 54. 127–136. 128 indexed citations
20.
Li, Mingzhou, Honglong Wu, Tao Wang, et al.. (2012). Co-methylated Genes in Different Adipose Depots of Pig are Associated with Metabolic, Inflammatory and Immune Processes. International Journal of Biological Sciences. 8(6). 831–837. 26 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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