Yuan Gu

39 total papers · 1.0k total citations
31 papers, 805 citations indexed

About

Yuan Gu is a scholar working on Infectious Diseases, Parasitology and Ecology. According to data from OpenAlex, Yuan Gu has authored 31 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 12 papers in Parasitology and 11 papers in Ecology. Recurrent topics in Yuan Gu's work include Parasitic Diseases Research and Treatment (24 papers), Parasite Biology and Host Interactions (11 papers) and Parasites and Host Interactions (11 papers). Yuan Gu is often cited by papers focused on Parasitic Diseases Research and Treatment (24 papers), Parasite Biology and Host Interactions (11 papers) and Parasites and Host Interactions (11 papers). Yuan Gu collaborates with scholars based in China, United States and France. Yuan Gu's co-authors include Jing Yang, Xinping Zhu, Jingjing Huang, Xinping Zhu, Bin Zhan, Yaping Yang, Ximeng Sun, Junfei Wei, Shaohua Wang and Bo Li and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Yuan Gu

31 papers receiving 803 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuan Gu 484 387 282 196 181 31 805
Lucille F. Gagliardo 463 1.0× 405 1.0× 281 1.0× 146 0.7× 255 1.4× 21 947
Klaus D. Erttmann 445 0.9× 411 1.1× 293 1.0× 143 0.7× 123 0.7× 34 857
Alisa Gruden‐Movsesijan 529 1.1× 496 1.3× 263 0.9× 200 1.0× 304 1.7× 42 973
Andrew R. Moorhead 515 1.1× 425 1.1× 399 1.4× 184 0.9× 77 0.4× 45 996
Jessica A. Hess 235 0.5× 488 1.3× 192 0.7× 71 0.4× 287 1.6× 26 803
Richard B. Crandall 275 0.6× 350 0.9× 248 0.9× 97 0.5× 205 1.1× 56 950
J W Kazura 478 1.0× 332 0.9× 176 0.6× 48 0.2× 123 0.7× 22 743
M. Gallin 482 1.0× 264 0.7× 209 0.7× 101 0.5× 91 0.5× 22 806
Nataša Ilić 512 1.1× 465 1.2× 234 0.8× 204 1.0× 257 1.4× 41 914
Yarzábal La 402 0.8× 345 0.9× 178 0.6× 78 0.4× 75 0.4× 60 988

Countries citing papers authored by Yuan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Gu. A scholar is included among the top collaborators of Yuan 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 Yuan Gu. Yuan Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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