Ze‐Gang Wei

27 total papers · 478 total citations
20 papers, 309 citations indexed

About

Ze‐Gang Wei is a scholar working on Molecular Biology, Ecology and Computer Networks and Communications. According to data from OpenAlex, Ze‐Gang Wei has authored 20 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Ecology and 4 papers in Computer Networks and Communications. Recurrent topics in Ze‐Gang Wei's work include Genomics and Phylogenetic Studies (13 papers), Microbial Community Ecology and Physiology (8 papers) and Gut microbiota and health (5 papers). Ze‐Gang Wei is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Microbial Community Ecology and Physiology (8 papers) and Gut microbiota and health (5 papers). Ze‐Gang Wei collaborates with scholars based in China, Japan and Canada. Ze‐Gang Wei's co-authors include Shao‐Wu Zhang, Luonan Chen, Wei-Feng Guo, Fei Liu, Fei Liu, Yu Qian, Xiaodan Zhang, Fang‐Xiang Wu, Tao Zeng and Zhigang Zheng and has published in prestigious journals such as Frontiers in Microbiology, BMC Bioinformatics and Journal of Theoretical Biology.

In The Last Decade

Ze‐Gang Wei

20 papers receiving 303 citations

Author Peers

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

Author Last Decade Papers Cites
Ze‐Gang Wei 243 55 37 25 20 20 309
Da-Fu Ding 281 1.2× 42 0.8× 13 0.4× 17 0.7× 10 0.5× 26 349
Felipe Llinares-López 168 0.7× 21 0.4× 101 2.7× 18 0.7× 22 1.1× 13 341
M. A. Spivak 211 0.9× 17 0.3× 39 1.1× 10 0.4× 9 0.5× 19 339
Domenico Bellomo 151 0.6× 11 0.2× 33 0.9× 7 0.3× 13 0.7× 24 353
Hongguang Fu 137 0.6× 11 0.2× 64 1.7× 19 0.8× 25 1.3× 27 316
Bin Shao 159 0.7× 15 0.3× 74 2.0× 40 1.6× 16 0.8× 32 336
Chirag Jain 161 0.7× 22 0.4× 53 1.4× 27 1.1× 4 0.2× 18 222
Silvana Ilie 222 0.9× 10 0.2× 87 2.4× 20 0.8× 19 0.9× 34 328
Yifeng Li 214 0.9× 53 1.0× 11 0.3× 11 0.4× 5 0.3× 23 340
Yanqing Gao 120 0.5× 23 0.4× 51 1.4× 10 0.4× 9 0.5× 23 320

Countries citing papers authored by Ze‐Gang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ze‐Gang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ze‐Gang Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Ze‐Gang Wei. A scholar is included among the top collaborators of Ze‐Gang Wei 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 Ze‐Gang Wei. Ze‐Gang Wei 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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