Fanhua Ming

10 total papers · 518 total citations
7 papers, 344 citations indexed

About

Fanhua Ming is a scholar working on Gastroenterology, Surgery and Oncology. According to data from OpenAlex, Fanhua Ming has authored 7 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Gastroenterology, 3 papers in Surgery and 3 papers in Oncology. Recurrent topics in Fanhua Ming's work include Gastrointestinal Bleeding Diagnosis and Treatment (5 papers), Colorectal Cancer Screening and Detection (3 papers) and Gastric Cancer Management and Outcomes (2 papers). Fanhua Ming is often cited by papers focused on Gastrointestinal Bleeding Diagnosis and Treatment (5 papers), Colorectal Cancer Screening and Detection (3 papers) and Gastric Cancer Management and Outcomes (2 papers). Fanhua Ming collaborates with scholars based in China and Canada. Fanhua Ming's co-authors include Kun Zhang, Huiying Shi, Zhen Ding, Chaoqun Han, Xiaohua Hou, Rong Lin, Hao Zhang, Jun Liu, Xiaoping Xie and Lingjun Meng and has published in prestigious journals such as Gastroenterology, Gut and Journal of Controlled Release.

In The Last Decade

Fanhua Ming

5 papers receiving 336 citations

Hit Papers

Gastroenterologist-Level ... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Fanhua Ming 156 155 130 99 94 7 344
Yoshito Takemura 202 1.3× 114 0.7× 150 1.2× 88 0.9× 135 1.4× 10 390
Chaoran Ji 175 1.1× 44 0.3× 132 1.0× 104 1.1× 96 1.0× 9 326
Motoi Miura 208 1.3× 67 0.4× 191 1.5× 126 1.3× 126 1.3× 8 392
Weicai Huang 138 0.9× 65 0.4× 225 1.7× 127 1.3× 93 1.0× 12 348
Stanley T. Leung 50 0.3× 38 0.2× 76 0.6× 105 1.1× 161 1.7× 8 385
António Sampaio Soares 205 1.3× 17 0.1× 54 0.4× 89 0.9× 87 0.9× 14 370
Maiko Motobayashi 172 1.1× 80 0.5× 38 0.3× 76 0.8× 110 1.2× 12 352
Osamu Kishida 93 0.6× 41 0.3× 136 1.0× 51 0.5× 128 1.4× 10 299
Tyler Dao 231 1.5× 50 0.3× 180 1.4× 121 1.2× 145 1.5× 16 379
J. Li 91 0.6× 35 0.2× 176 1.4× 207 2.1× 77 0.8× 9 370

Countries citing papers authored by Fanhua Ming

Since Specialization
Citations

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

Fields of papers citing papers by Fanhua Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanhua Ming

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