Hongkun Wang

86 total papers · 956 total citations
41 papers, 643 citations indexed

About

Hongkun Wang is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Hongkun Wang has authored 41 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Hongkun Wang's work include Pancreatic and Hepatic Oncology Research (5 papers), Cancer-related gene regulation (4 papers) and Cancer Genomics and Diagnostics (4 papers). Hongkun Wang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (5 papers), Cancer-related gene regulation (4 papers) and Cancer Genomics and Diagnostics (4 papers). Hongkun Wang collaborates with scholars based in United States, China and Madagascar. Hongkun Wang's co-authors include Hong Xiao, Jianfang Liang, Wayne P. Bocchinfuso, Ping Fan, Nan Zhang, Mark R. Conaway, Richard J. Santen, Wei Yue, Yuebai Li and Guijian Liu and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Hongkun Wang

38 papers receiving 636 citations

Author Peers

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

Author Last Decade Papers Cites
Hongkun Wang 254 181 94 78 77 41 643
Tomoka Takao 306 1.2× 119 0.7× 112 1.2× 46 0.6× 60 0.8× 38 705
Minseob Eom 351 1.4× 172 1.0× 122 1.3× 69 0.9× 126 1.6× 44 790
Carlo Ganini 338 1.3× 165 0.9× 133 1.4× 104 1.3× 160 2.1× 30 731
Chen Duan 289 1.1× 86 0.5× 46 0.5× 53 0.7× 105 1.4× 31 765
Lucia D’Antona 435 1.7× 107 0.6× 138 1.5× 68 0.9× 47 0.6× 29 743
Andrea Šoltýsová 354 1.4× 117 0.6× 77 0.8× 56 0.7× 28 0.4× 37 621
Masako Nakanishi 322 1.3× 116 0.6× 127 1.4× 79 1.0× 73 0.9× 34 694
Mélanie Lambert 454 1.8× 147 0.8× 125 1.3× 47 0.6× 126 1.6× 28 792
Shoji Kawauchi 386 1.5× 84 0.5× 177 1.9× 35 0.4× 52 0.7× 37 777
Dan Yue 401 1.6× 145 0.8× 126 1.3× 46 0.6× 132 1.7× 41 772

Countries citing papers authored by Hongkun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongkun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongkun Wang

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