Hehui Fang

18 total papers · 504 total citations
11 papers, 394 citations indexed

About

Hehui Fang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Hehui Fang has authored 11 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Hehui Fang's work include Lung Cancer Treatments and Mutations (5 papers), Brain Metastases and Treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). Hehui Fang is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Brain Metastases and Treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). Hehui Fang collaborates with scholars based in China and United States. Hehui Fang's co-authors include Fang Yang, Xiaoxiang Guan, Juan Jin, Wenwen Zhang, Zijia Sun, Doudou Huang, Wenfei Ji, Guohua Zhou, Yaqin Shi and Weiwei Chen and has published in prestigious journals such as Journal of Clinical Oncology, The FASEB Journal and International Journal of Cancer.

In The Last Decade

Hehui Fang

9 papers receiving 393 citations

Author Peers

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

Author Last Decade Papers Cites
Hehui Fang 226 184 182 85 36 11 394
Ramya Kumareswaran 270 1.2× 187 1.0× 213 1.2× 103 1.2× 28 0.8× 9 441
Yang Gao 195 0.9× 178 1.0× 126 0.7× 78 0.9× 56 1.6× 11 375
Richard Kurupi 285 1.3× 143 0.8× 148 0.8× 112 1.3× 30 0.8× 9 427
Gregory C. Stachelek 224 1.0× 191 1.0× 142 0.8× 72 0.8× 35 1.0× 15 413
Yaning He 208 0.9× 214 1.2× 153 0.8× 82 1.0× 33 0.9× 16 423
Mary Stanley 175 0.8× 178 1.0× 158 0.9× 54 0.6× 33 0.9× 11 395
Jee‐Heun Kim 274 1.2× 200 1.1× 130 0.7× 54 0.6× 49 1.4× 10 444
Kaushal Asrani 223 1.0× 109 0.6× 117 0.6× 107 1.3× 53 1.5× 16 391
Sourik S. Ganguly 243 1.1× 142 0.8× 81 0.4× 74 0.9× 31 0.9× 15 403
Laura Pisarsky 259 1.1× 142 0.8× 216 1.2× 63 0.7× 33 0.9× 8 401

Countries citing papers authored by Hehui Fang

Since Specialization
Citations

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

Fields of papers citing papers by Hehui Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hehui Fang

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