Hongbo Wang

89 total papers · 1.3k total citations
50 papers, 917 citations indexed

About

Hongbo Wang is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hongbo Wang has authored 50 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hongbo Wang's work include Genomics and Phylogenetic Studies (6 papers), Angiogenesis and VEGF in Cancer (5 papers) and Cancer-related molecular mechanisms research (5 papers). Hongbo Wang is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Angiogenesis and VEGF in Cancer (5 papers) and Cancer-related molecular mechanisms research (5 papers). Hongbo Wang collaborates with scholars based in China, United States and Canada. Hongbo Wang's co-authors include Shuqi Chi, Yan Wen, Mary Lake Polan, Hua Teng, Weihua Yu, Jianqiang Guo, Marjorie L. McCullough, Laurence N. Kolonel, Éilis J. O’Reilly and Yue Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hongbo Wang

45 papers receiving 907 citations

Author Peers

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

Author Last Decade Papers Cites
Hongbo Wang 469 224 150 146 143 50 917
Daniela Annibali 597 1.3× 255 1.1× 92 0.6× 153 1.0× 103 0.7× 29 1.0k
Cláudia Aparecida Rainho 428 0.9× 154 0.7× 109 0.7× 81 0.6× 73 0.5× 64 853
Michele Cummings 382 0.8× 170 0.8× 169 1.1× 80 0.5× 71 0.5× 36 927
Bo Li 481 1.0× 209 0.9× 133 0.9× 125 0.9× 44 0.3× 54 1.0k
Yuji Yaginuma 646 1.4× 208 0.9× 117 0.8× 56 0.4× 57 0.4× 51 1.2k
А. И. Карселадзе 435 0.9× 296 1.3× 105 0.7× 39 0.3× 337 2.4× 46 1.0k
Kiyoshi Kato 245 0.5× 66 0.3× 91 0.6× 143 1.0× 95 0.7× 49 838
Yu Zheng 692 1.5× 161 0.7× 346 2.3× 133 0.9× 78 0.5× 48 1.2k
Masayuki Futagami 404 0.9× 156 0.7× 303 2.0× 214 1.5× 126 0.9× 62 955
Liang Ma 402 0.9× 152 0.7× 204 1.4× 89 0.6× 84 0.6× 37 967

Countries citing papers authored by Hongbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbo Wang

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