Gang Lu

2.9k total citations
52 papers, 1.4k citations indexed

About

Gang Lu is a scholar working on Infectious Diseases, Parasitology and Epidemiology. According to data from OpenAlex, Gang Lu has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 17 papers in Parasitology and 11 papers in Epidemiology. Recurrent topics in Gang Lu's work include Parasitic Infections and Diagnostics (15 papers), Viral Infections and Vectors (8 papers) and Mosquito-borne diseases and control (8 papers). Gang Lu is often cited by papers focused on Parasitic Infections and Diagnostics (15 papers), Viral Infections and Vectors (8 papers) and Mosquito-borne diseases and control (8 papers). Gang Lu collaborates with scholars based in China, Hong Kong and United States. Gang Lu's co-authors include Amy L. Davidson, Jue Chen, Jeffrey S. Lin, Florante A. Quiocho, Jasper Fuk‐Woo Chan, Kwok‐Yung Yuen, Zheng Zhu, Jessica Oi‐Ling Tsang, Cyril Chik‐Yan Yip and Kenn Ka‐Heng Chik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and PLoS ONE.

In The Last Decade

Gang Lu

46 papers receiving 1.4k citations

Peers

Gang Lu
Comparison fields: 5 of 107
  • Infectious Diseases 461
  • Oncology 417
  • Molecular Biology 387
  • Public Health, Environmental and Occupational Health 316
  • Parasitology 221
Replace Laurence Berry with:
Laurence Berry France
Judith Recht United States
Ranjit K. Deka United States
Wassim Daher France
Salvatore G. De-Simone Brazil
Alessandra Ciervo Italy
Jennifer Anderson United States
Philip Bedford United Kingdom
Melissa D. Conrad United States
Michael J. Smout Australia
Laurence Berry France View profile →
Citations per field, relative to Gang Lu
Gang Lu · 1×
Citations per year, relative to Gang Lu
Gang Lu · 1×

Countries citing papers authored by Gang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Gang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Lu. A scholar is included among the top collaborators of Gang Lu 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 Lu. Gang Lu 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 0
2 0
3 0
4 0
5 5
6 9
7 2
8 9
9 3
10 14
11 12
12 33
13 4
14 29
15 17
16 98
17 7
18 134
19
Lack of evidence of avian-to-cat transmission of avian H5 subtype influenza virus among cats in southern China.
4
20 115

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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