Shouhai Guan

43 total papers · 483 total citations
24 papers, 369 citations indexed

About

Shouhai Guan is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, Shouhai Guan has authored 24 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hepatology, 10 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Shouhai Guan's work include Liver Disease and Transplantation (10 papers), Organ Transplantation Techniques and Outcomes (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Shouhai Guan is often cited by papers focused on Liver Disease and Transplantation (10 papers), Organ Transplantation Techniques and Outcomes (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Shouhai Guan collaborates with scholars based in China, Japan and United States. Shouhai Guan's co-authors include Zaibo Jiang, Kangshun Zhu, Mingsheng Huang, Zhengran Li, Hong Shan, Hong Shan, Jiesheng Qian, Bin Zhou, Mingan Li and Qu Lin and has published in prestigious journals such as PLoS ONE, European Journal of Pharmacology and RSC Advances.

In The Last Decade

Shouhai Guan

24 papers receiving 358 citations

Author Peers

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

Author Last Decade Papers Cites
Shouhai Guan 191 150 96 50 48 24 369
Yoshio Yamaoka 267 1.4× 310 2.1× 92 1.0× 49 1.0× 21 0.4× 19 434
Marcelo Bruno de Rezende 265 1.4× 295 2.0× 148 1.5× 39 0.8× 9 0.2× 31 424
F. Nudo 144 0.8× 167 1.1× 82 0.9× 117 2.3× 12 0.3× 32 439
Márcio Dias de Almeida 299 1.6× 247 1.6× 146 1.5× 31 0.6× 9 0.2× 33 433
Speranța Iacob 163 0.9× 89 0.6× 164 1.7× 21 0.4× 26 0.5× 33 429
M. Webb 129 0.7× 271 1.8× 64 0.7× 34 0.7× 19 0.4× 26 413
Suhag Patel 71 0.4× 133 0.9× 146 1.5× 14 0.3× 19 0.4× 20 341
A Sicular 106 0.6× 210 1.4× 74 0.8× 21 0.4× 5 0.1× 25 375
Katrina McGinty 92 0.5× 140 0.9× 47 0.5× 20 0.4× 24 0.5× 20 358
Ryan B. Schwope 127 0.7× 156 1.0× 185 1.9× 16 0.3× 28 0.6× 38 414

Countries citing papers authored by Shouhai Guan

Since Specialization
Citations

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

Fields of papers citing papers by Shouhai Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouhai Guan

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