Hao Yu

133 total papers · 2.8k total citations
86 papers, 1.8k citations indexed

About

Hao Yu is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Hao Yu has authored 86 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Surgery and 16 papers in Oncology. Recurrent topics in Hao Yu's work include Epilepsy research and treatment (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Bladder and Urothelial Cancer Treatments (5 papers). Hao Yu is often cited by papers focused on Epilepsy research and treatment (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Bladder and Urothelial Cancer Treatments (5 papers). Hao Yu collaborates with scholars based in China, United States and United Kingdom. Hao Yu's co-authors include Shaoxu Wu, Junjiong Zheng, Tianxin Lin, Jian Huang, Yong Li, Siya Shi, Weibin Xie, Hui Zeng, Junyan Han and Hao Liu and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Cancer Cell.

In The Last Decade

Hao Yu

79 papers receiving 1.7k citations

Hit Papers

A Radiomics Nomogram for ... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Hao Yu 410 396 379 320 312 86 1.8k
Giampiero Palmieri 336 0.8× 551 1.4× 347 0.9× 263 0.8× 286 0.9× 70 1.9k
René Baumann 441 1.1× 484 1.2× 228 0.6× 275 0.9× 223 0.7× 90 2.1k
Bianca Gutfilen 365 0.9× 519 1.3× 340 0.9× 113 0.4× 385 1.2× 116 2.0k
Garth E. Austin 282 0.7× 579 1.5× 315 0.8× 176 0.6× 571 1.8× 93 2.1k
Ernane D. Reis 340 0.8× 857 2.2× 209 0.6× 395 1.2× 371 1.2× 41 2.0k
Hui Yuan 304 0.7× 473 1.2× 185 0.5× 156 0.5× 478 1.5× 132 1.8k
Panagiotis Samaras 308 0.8× 278 0.7× 280 0.7× 269 0.8× 358 1.1× 70 1.9k
Shinobu Nakamura 245 0.6× 399 1.0× 115 0.3× 250 0.8× 384 1.2× 114 2.2k
Feng Tian 181 0.4× 229 0.6× 208 0.5× 161 0.5× 433 1.4× 103 1.6k
Zhijun Wang 227 0.6× 333 0.8× 259 0.7× 149 0.5× 593 1.9× 113 1.9k

Countries citing papers authored by Hao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Yu

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