Hang Fang

95 total papers · 2.1k total citations
46 papers, 1.6k citations indexed

About

Hang Fang is a scholar working on Rheumatology, Molecular Biology and Oncology. According to data from OpenAlex, Hang Fang has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Rheumatology, 19 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Hang Fang's work include Osteoarthritis Treatment and Mechanisms (19 papers), Inflammatory mediators and NSAID effects (7 papers) and Bone Metabolism and Diseases (6 papers). Hang Fang is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (19 papers), Inflammatory mediators and NSAID effects (7 papers) and Bone Metabolism and Diseases (6 papers). Hang Fang collaborates with scholars based in China, United States and Canada. Hang Fang's co-authors include Frank Beier, Mingjie Zheng, Sen‐itiroh Hakomori, Daozhang Cai, Chun Zeng, Daozhang Cai, Chang Zhao, Yan Shao, Weizhong Qi and Ziyu Chen and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Hang Fang

42 papers receiving 1.6k citations

Hit Papers

Influence of the pore siz... 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
Hang Fang 653 647 316 269 216 46 1.6k
Yusheng Li 843 1.3× 625 1.0× 282 0.9× 202 0.8× 154 0.7× 72 1.8k
Anja Niehoff 564 0.9× 594 0.9× 304 1.0× 401 1.5× 197 0.9× 84 2.0k
Chiara Gentili 823 1.3× 874 1.4× 236 0.7× 515 1.9× 112 0.5× 53 2.2k
Glyn D. Palmer 959 1.5× 656 1.0× 242 0.8× 486 1.8× 88 0.4× 43 2.1k
Chun Zeng 851 1.3× 782 1.2× 175 0.6× 253 0.9× 230 1.1× 73 1.8k
Toru Ogasawara 667 1.0× 1.1k 1.7× 296 0.9× 338 1.3× 137 0.6× 65 2.3k
Cristina Manferdini 694 1.1× 557 0.9× 353 1.1× 305 1.1× 208 1.0× 71 1.9k
Yeri Alice Rim 614 0.9× 695 1.1× 231 0.7× 257 1.0× 139 0.6× 61 1.6k
Zongyou Pan 496 0.8× 636 1.0× 207 0.7× 226 0.8× 226 1.0× 37 1.6k
Roman Krawetz 907 1.4× 1.0k 1.5× 463 1.5× 467 1.7× 182 0.8× 105 2.3k

Countries citing papers authored by Hang Fang

Since Specialization
Citations

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

Fields of papers citing papers by Hang Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Fang

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