Quan Gu

2.4k total citations
60 papers, 1.4k citations indexed

About

Quan Gu is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Quan Gu has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Infectious Diseases and 8 papers in Computational Theory and Mathematics. Recurrent topics in Quan Gu's work include Machine Learning in Bioinformatics (10 papers), Computational Drug Discovery Methods (8 papers) and Viral Infections and Vectors (7 papers). Quan Gu is often cited by papers focused on Machine Learning in Bioinformatics (10 papers), Computational Drug Discovery Methods (8 papers) and Viral Infections and Vectors (7 papers). Quan Gu collaborates with scholars based in China, United Kingdom and United States. Quan Gu's co-authors include Tong-Liang Zhang, Xiaoying Jian, Rong‐Jia Wei, Massimo Palmarini, Yongsheng Ding, Mariana Varela, Andrew E. Shaw, Yan Yang, Jinqiu Wang and Joseph Hughes and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Quan Gu

55 papers receiving 1.3k citations

Peers

Quan Gu
Comparison fields: 5 of 121
  • Molecular Biology 878
  • Immunology 240
  • Cancer Research 228
  • Infectious Diseases 199
  • Epidemiology 148
Fei Yuan China
Stéphanie Durand France
Christopher Szeto Australia
Yingfeng Lei China
Yongwen Luo China
Amir Foroushani Canada
Stephen Su United States
Todd P. Knutson United States
Kevin B. Spurgers United States
Karin Breuer Canada
Fei Yuan China View profile →
Citations per field, relative to Quan Gu
Quan Gu · 1×
Citations per year, relative to Quan Gu
Quan Gu · 1×

Countries citing papers authored by Quan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Quan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Gu. A scholar is included among the top collaborators of Quan Gu 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 Quan Gu. Quan Gu 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
# Work Indexed citations
1 1
2 2
3 0
4 7
5 15
6 20
7 7
8 0
9 36
10 39
11 33
12 222
13 17
14 18
15
Development and Application of Power Grid Model Integrated Server System
1
16
Creation of Complete Power Network Model by Splicing Power Network Model for EMS With External Network Model Built by BPA
1
17 12
18 26
19
Composition of Decentralized Graphics and Model Based on CIM and SVG
2
20
Analysis on Integration of Multilevel Power Network Model Based on CIM
2

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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