Gang Yu

1.3k total citations · 1 hit paper
59 papers, 809 citations indexed

About

Gang Yu is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Gang Yu has authored 59 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Gang Yu's work include Pneumonia and Respiratory Infections (5 papers), COVID-19 diagnosis using AI (4 papers) and Sepsis Diagnosis and Treatment (4 papers). Gang Yu is often cited by papers focused on Pneumonia and Respiratory Infections (5 papers), COVID-19 diagnosis using AI (4 papers) and Sepsis Diagnosis and Treatment (4 papers). Gang Yu collaborates with scholars based in China, United States and Hong Kong. Gang Yu's co-authors include Yan Ni, Feng Ju, Danni Zhang, Qiang Shu, Huilong Duan, Haomin Li, Junfen Fu, Dan Peng, Yi Bian and Shusheng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Science of The Total Environment.

In The Last Decade

Gang Yu

53 papers receiving 793 citations

Hit Papers

MetOrigin: Discriminating the origins of microbial metabo... 2022 2026 2023 2024 2022 40 80 120

Peers

Gang Yu
Comparison fields: 5 of 143
  • Molecular Biology 182
  • Physiology 122
  • Infectious Diseases 100
  • Nutrition and Dietetics 94
  • Epidemiology 90
Replace Stephen R Ali with:
Stephen R Ali United Kingdom
Rajeev Kumar India
Zhicheng Du China
Vivian Viallon France
Shaoqiu Chen United States
Yuani M. Roman Peru
Smadar Shilo Israel
Jin Zhou United States
Ke Lin China
Xianfei Ding China
Stephen R Ali United Kingdom View profile →
Citations per field, relative to Gang Yu
Gang Yu · 1×
Citations per year, relative to Gang Yu
Gang Yu · 1×

Countries citing papers authored by Gang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Gang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Yu. A scholar is included among the top collaborators of Gang Yu 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 Gang Yu. Gang Yu 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 3
2 1
3 0
4 10
5 1
6 2
7 1
8 8
9 1
10
MetOrigin: Discriminating the origins of microbial metabolites for integrative analysis of the gut microbiome and metabolome breakdown →
143
11 5
12 53
13 17
14 12
15 1
16 1
17 17
18
Deriving aquatic water quality criteria for sulfonamides by species sensitivity distributions.
2
19
Structural Defects and Formation Mechanism in Silica Glasses
3
20
Effect of Bulk and Surface Defects on Etched Surface Topography of Silica Glass
0

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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2026