Ming-Hua Ren

35 total papers · 474 total citations
30 papers, 338 citations indexed

About

Ming-Hua Ren is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ming-Hua Ren has authored 30 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ming-Hua Ren's work include Ferroptosis and cancer prognosis (9 papers), Angiogenesis and VEGF in Cancer (7 papers) and Bladder and Urothelial Cancer Treatments (7 papers). Ming-Hua Ren is often cited by papers focused on Ferroptosis and cancer prognosis (9 papers), Angiogenesis and VEGF in Cancer (7 papers) and Bladder and Urothelial Cancer Treatments (7 papers). Ming-Hua Ren collaborates with scholars based in China, Singapore and Germany. Ming-Hua Ren's co-authors include Jianshe Wang, Yaxuan Wang, Cheng Zhang, Beichen Ding, Bo Ji, Shaobin Ni, Xiaoxiong Wang, Changlin Wang, Jing Liu and Haoming Li and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ming-Hua Ren

30 papers receiving 332 citations

Author Peers

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

Author Last Decade Papers Cites
Ming-Hua Ren 177 115 90 61 49 30 338
Heiko Yang 129 0.7× 102 0.9× 66 0.7× 58 1.0× 35 0.7× 32 323
Jinming Zhu 151 0.9× 66 0.6× 94 1.0× 58 1.0× 30 0.6× 31 323
Yimin Xu 159 0.9× 48 0.4× 81 0.9× 70 1.1× 28 0.6× 28 358
Chao Zeng 163 0.9× 72 0.6× 82 0.9× 110 1.8× 36 0.7× 25 343
He Tian 193 1.1× 66 0.6× 94 1.0× 53 0.9× 48 1.0× 35 355
Shiyu Tong 135 0.8× 123 1.1× 66 0.7× 75 1.2× 47 1.0× 28 377
K.-H. Bichler 127 0.7× 101 0.9× 66 0.7× 56 0.9× 26 0.5× 38 318
Tian Jiang 133 0.8× 129 1.1× 69 0.8× 74 1.2× 34 0.7× 32 342
Grażyna Drabik 132 0.7× 101 0.9× 118 1.3× 132 2.2× 23 0.5× 28 357
Yuxian Wei 147 0.8× 63 0.5× 82 0.9× 112 1.8× 44 0.9× 27 317

Countries citing papers authored by Ming-Hua Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hua Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Hua Ren. 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 Ming-Hua Ren. The network helps show where Ming-Hua Ren may publish in the future.

Co-authorship network of co-authors of Ming-Hua Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Hua Ren. A scholar is included among the top collaborators of Ming-Hua Ren 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 Ming-Hua Ren. Ming-Hua Ren 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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