Hong Wu

86 total papers · 1.4k total citations
58 papers, 894 citations indexed

About

Hong Wu is a scholar working on Surgery, Hepatology and Oncology. According to data from OpenAlex, Hong Wu has authored 58 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Surgery, 37 papers in Hepatology and 23 papers in Oncology. Recurrent topics in Hong Wu's work include Hepatocellular Carcinoma Treatment and Prognosis (32 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers) and Pancreatic and Hepatic Oncology Research (12 papers). Hong Wu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (32 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers) and Pancreatic and Hepatic Oncology Research (12 papers). Hong Wu collaborates with scholars based in China, United States and Russia. Hong Wu's co-authors include Yong Zeng, Jiwei Huang, Jianguo Qiu, Shuting Chen, Mingheng Liao, Tianfu Wen, Jinju Wang, Kefei Yuan, Lünan Yan and Li Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of Surgery.

In The Last Decade

Hong Wu

57 papers receiving 886 citations

Author Peers

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

Author Last Decade Papers Cites
Hong Wu 467 446 408 201 192 58 894
Michio Ueda 349 0.7× 482 1.1× 609 1.5× 181 0.9× 235 1.2× 55 969
R. Rull 461 1.0× 590 1.3× 231 0.6× 157 0.8× 98 0.5× 52 982
Majella B. Doyle 371 0.8× 487 1.1× 354 0.9× 174 0.9× 215 1.1× 37 1.0k
Madhava Pai 326 0.7× 502 1.1× 479 1.2× 327 1.6× 295 1.5× 56 1.0k
Christian Wittekind 414 0.9× 535 1.2× 334 0.8× 200 1.0× 231 1.2× 43 1.0k
Stefania De Lorenzo 236 0.5× 400 0.9× 383 0.9× 174 0.9× 231 1.2× 48 868
Sadayuki Okudaira 413 0.9× 358 0.8× 173 0.4× 248 1.2× 182 0.9× 49 821
Ting-Jung Wu 648 1.4× 561 1.3× 230 0.6× 306 1.5× 170 0.9× 74 1.0k
M. Henar Alonso 211 0.5× 394 0.9× 359 0.9× 105 0.5× 218 1.1× 42 1.0k
Maximilian Schmeding 551 1.2× 493 1.1× 160 0.4× 325 1.6× 100 0.5× 53 981

Countries citing papers authored by Hong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Wu

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