Weizhi Ge

12 total papers · 830 total citations
12 papers, 650 citations indexed

About

Weizhi Ge is a scholar working on Cancer Research, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Weizhi Ge has authored 12 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 8 papers in Molecular Biology and 3 papers in Organic Chemistry. Recurrent topics in Weizhi Ge's work include Ubiquitin and proteasome pathways (5 papers), Sesquiterpenes and Asteraceae Studies (5 papers) and NF-κB Signaling Pathways (2 papers). Weizhi Ge is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Sesquiterpenes and Asteraceae Studies (5 papers) and NF-κB Signaling Pathways (2 papers). Weizhi Ge collaborates with scholars based in China. Weizhi Ge's co-authors include Yue Chen, Yahui Ding, Quan Zhang, Xin Hao, Xiaoping Chen, Qin Wang, Mengmeng Wang, Can Liu, Zhong‐Quan Liu and Tianpeng Wang and has published in prestigious journals such as Journal of Medicinal Chemistry, Molecules and European Journal of Medicinal Chemistry.

In The Last Decade

Weizhi Ge

12 papers receiving 647 citations

Hit Papers

Identification of a small... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Weizhi Ge 453 304 231 83 79 12 650
Joshua R. Sacher 348 0.8× 156 0.5× 168 0.7× 103 1.2× 72 0.9× 18 617
Ansam Sinjab 322 0.7× 203 0.7× 99 0.4× 46 0.6× 106 1.3× 16 561
Jiaqi Cao 356 0.8× 152 0.5× 116 0.5× 63 0.8× 186 2.4× 9 607
Thamara Nishida Xavier da Silva 388 0.9× 207 0.7× 241 1.0× 36 0.4× 84 1.1× 19 674
Julie A. Arlotti 459 1.0× 106 0.3× 105 0.5× 89 1.1× 89 1.1× 19 775
Míriam Tarrado‐Castellarnau 439 1.0× 246 0.8× 76 0.3× 59 0.7× 178 2.3× 13 663
Santiago Díaz‐Moralli 442 1.0× 221 0.7× 64 0.3× 45 0.5× 139 1.8× 11 674
Meng-Ning Wei 508 1.1× 213 0.7× 148 0.6× 31 0.4× 233 2.9× 23 765
Ayako Yukita 543 1.2× 224 0.7× 78 0.3× 32 0.4× 211 2.7× 12 724
Anthony J. Galati 453 1.0× 240 0.8× 48 0.2× 81 1.0× 89 1.1× 16 764

Countries citing papers authored by Weizhi Ge

Since Specialization
Citations

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

Fields of papers citing papers by Weizhi Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizhi Ge

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