Jia Gu

31.1k citations
42 papers · 17.3k · 1 hit paper · h-index 14

Impact in

    • Genomics and Phylogenetic Studies
    • Gut microbiota and health
  • Ecology top 0.5%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions

Papers in

Jia Gu

38 papers receiving 17.2k citations

Jia Gu's Hit Papers

fastp: an ultra-fast all-in-one FASTQ preprocessor 2018 · 16.6k citations
16.6k0+2+5Years since publication5.0k10.0k15.0k

Peers

Jia Gu
Comparison fields: 5 of 188
  • Molecular Biology 7.4k
  • Ecology 2.7k
  • Plant Science 3.8k
  • Endocrinology 505
  • Molecular Medicine 414
Replace Yanqing Zhou with:
Yanqing Zhou China
Shifu Chen China
Eric P. Nawrocki United States
Songnian Hu China
Ning Ma China
Weizhong Li United States
Kim D. Pruitt United States
Marcel Martin Germany
Tatiana Tatusova United States
Jaime Huerta‐Cepas Spain
Jia Gu relative to Yanqing Zhou China Yanqing Zhou's profile →
Citations per field
00.5×1.5×
Yanqing Zhou · 1×
Citations per year

Countries citing papers authored by Jia Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jia Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jia Gu Line = papers co-authored together Jia Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
fastp: an ultra-fast all-in-one FASTQ preprocessor
Hit paper breakdown →
201816596
2 2017240
3 202052
4 201944
5 201336
6 201831
7 201426
8 201224
9 201219
10 202118
11 202218
12 201218
13 201315
14 201715
15 202113
16 201811
17 201510
18 20159
19 20178
20 20207

About Jia Gu

Jia Gu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Biomedical Engineering, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 17.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Image and Signal Denoising Methods (5 papers), COVID-19 epidemiological studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Surgical Simulation and Training (2 papers), Cervical Cancer and HPV Research (2 papers), Advanced Image Processing Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Molecular Biology (7.4k citations), Ecology (2.7k citations), Plant Science (3.8k citations), Endocrinology (505 citations) and Molecular Medicine (414 citations). Jia Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shifu Chen, Yanqing Zhou, Yaru Chen, Tanxiao Huang, Mingyan Xu, Yue Han, Tiexiang Wen, Wenjian Qin, Yaoqin Xie and Zhicheng Li. Their work appears in journals such as BioMedical Engineering OnLine, BMC Bioinformatics, Ultrasonic Imaging, Journal of Clinical Oncology and Frontiers in Cellular and Infection Microbiology.

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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