Minghua Ge

109 total papers · 1.5k total citations
50 papers, 714 citations indexed

About

Minghua Ge is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Minghua Ge has authored 50 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Endocrinology, Diabetes and Metabolism and 16 papers in Oncology. Recurrent topics in Minghua Ge's work include Thyroid Cancer Diagnosis and Treatment (18 papers), Head and Neck Cancer Studies (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Minghua Ge is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (18 papers), Head and Neck Cancer Studies (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Minghua Ge collaborates with scholars based in China, United States and Sweden. Minghua Ge's co-authors include Ping Huang, Zongfu Pan, Fangyuan Li, Qiyue Wang, Jieun Han, Hongwei Liao, Jiyoung Lee, Wooram Park, Jun‐Hyeok Han and Zhuo Tan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Minghua Ge

44 papers receiving 710 citations

Author Peers

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

Author Last Decade Papers Cites
Minghua Ge 268 182 149 109 109 50 714
Xuan Su 466 1.7× 119 0.7× 79 0.5× 111 1.0× 240 2.2× 56 792
Kunpeng Wu 298 1.1× 116 0.6× 53 0.4× 105 1.0× 132 1.2× 52 650
Swee Eng Aw 238 0.9× 139 0.8× 57 0.4× 39 0.4× 65 0.6× 36 686
Wen‐Hui Weng 299 1.1× 124 0.7× 37 0.2× 129 1.2× 134 1.2× 49 691
Liyun Shen 248 0.9× 179 1.0× 323 2.2× 78 0.7× 141 1.3× 30 754
Lan Qin 268 1.0× 137 0.8× 22 0.1× 107 1.0× 63 0.6× 39 679
Wen Chen 397 1.5× 113 0.6× 44 0.3× 118 1.1× 76 0.7× 48 837
Aiqun Liu 382 1.4× 251 1.4× 50 0.3× 65 0.6× 157 1.4× 59 858
Arianna Bonizzi 346 1.3× 233 1.3× 20 0.1× 82 0.8× 89 0.8× 38 857
Binbin Du 369 1.4× 197 1.1× 26 0.2× 127 1.2× 203 1.9× 48 887

Countries citing papers authored by Minghua Ge

Since Specialization
Citations

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

Fields of papers citing papers by Minghua Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghua Ge

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