Weijun Guan

102 total papers · 1.2k total citations
70 papers, 862 citations indexed

About

Weijun Guan is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Weijun Guan has authored 70 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 25 papers in Genetics and 18 papers in Cancer Research. Recurrent topics in Weijun Guan's work include Pancreatic function and diabetes (11 papers), Animal Genetics and Reproduction (10 papers) and Pluripotent Stem Cells Research (8 papers). Weijun Guan is often cited by papers focused on Pancreatic function and diabetes (11 papers), Animal Genetics and Reproduction (10 papers) and Pluripotent Stem Cells Research (8 papers). Weijun Guan collaborates with scholars based in China, United States and India. Weijun Guan's co-authors include Yuehui Ma, Chunyu Bai, Yuhua Gao, Qianjun Zhao, Xiangchen Li, Yuehui Ma, Lin Jiang, Kunzhe Dong, Xiaohong He and Yabin Pu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Weijun Guan

69 papers receiving 847 citations

Author Peers

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

Author Last Decade Papers Cites
Weijun Guan 390 266 202 140 83 70 862
Ja‐Hyun Jang 376 1.0× 291 1.1× 89 0.4× 80 0.6× 112 1.3× 121 971
Donald J. Merchant 501 1.3× 141 0.5× 127 0.6× 134 1.0× 44 0.5× 47 1.0k
J. M. Cantú 358 0.9× 403 1.5× 117 0.6× 82 0.6× 85 1.0× 74 887
Yinghui Ling 464 1.2× 265 1.0× 363 1.8× 60 0.4× 40 0.5× 64 899
Hang Zhou 315 0.8× 92 0.3× 103 0.5× 103 0.7× 31 0.4× 40 786
Paolo Accornero 537 1.4× 134 0.5× 181 0.9× 93 0.7× 72 0.9× 61 987
Luciani R. Carvalho 485 1.2× 409 1.5× 87 0.4× 115 0.8× 79 1.0× 52 1.0k
Lin Yuan 360 0.9× 98 0.4× 63 0.3× 166 1.2× 76 0.9× 42 843
Hideki Hiraiwa 254 0.7× 158 0.6× 102 0.5× 132 0.9× 27 0.3× 57 734
Cui Zhang 451 1.2× 152 0.6× 67 0.3× 193 1.4× 63 0.8× 71 1.0k

Countries citing papers authored by Weijun Guan

Since Specialization
Citations

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

Fields of papers citing papers by Weijun Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijun Guan

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