Silan Gu

57 total papers · 2.6k total citations
42 papers, 1.1k citations indexed

About

Silan Gu is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Silan Gu has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Infectious Diseases, 19 papers in Molecular Biology and 15 papers in Epidemiology. Recurrent topics in Silan Gu's work include Clostridium difficile and Clostridium perfringens research (24 papers), Gut microbiota and health (17 papers) and Microscopic Colitis (9 papers). Silan Gu is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (24 papers), Gut microbiota and health (17 papers) and Microscopic Colitis (9 papers). Silan Gu collaborates with scholars based in China, Hong Kong and United States. Silan Gu's co-authors include Lanjuan Li, Yunbo Chen, Longxian Lv, Huiyong Jiang, Yan Ren, Lingling Tang, Ping Shen, Beiwen Zheng, Yanfei Chen and Tao� Lv and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Silan Gu

41 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Silan Gu 603 561 253 141 124 42 1.1k
Leïla Belkhir 333 0.6× 476 0.8× 201 0.8× 157 1.1× 138 1.1× 75 1.2k
Bastiaan W. Haak 817 1.4× 517 0.9× 290 1.1× 90 0.6× 150 1.2× 41 1.4k
Massimiliano Marazzato 404 0.7× 289 0.5× 119 0.5× 209 1.5× 78 0.6× 41 973
Jiafeng Xia 604 1.0× 242 0.4× 233 0.9× 127 0.9× 104 0.8× 41 1.1k
Huiyong Jiang 831 1.4× 262 0.5× 374 1.5× 183 1.3× 167 1.3× 63 1.4k
Jacqueline M. Lankelma 928 1.5× 496 0.9× 279 1.1× 107 0.8× 119 1.0× 23 1.5k
Francesco Franceschi 267 0.4× 270 0.5× 276 1.1× 57 0.4× 186 1.5× 81 1.1k
Yael R. Nobel 361 0.6× 464 0.8× 185 0.7× 51 0.4× 285 2.3× 30 1.1k
Nan Chen 488 0.8× 384 0.7× 131 0.5× 69 0.5× 70 0.6× 54 967
Caroline Bradley 399 0.7× 360 0.6× 223 0.9× 83 0.6× 133 1.1× 31 969

Countries citing papers authored by Silan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Silan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silan Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Silan Gu. A scholar is included among the top collaborators of Silan 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 Silan Gu. Silan 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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