Hao Yan

102 total papers · 1.1k total citations
48 papers, 775 citations indexed

About

Hao Yan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Hao Yan has authored 48 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Public Health, Environmental and Occupational Health and 9 papers in Immunology. Recurrent topics in Hao Yan's work include Reproductive Biology and Fertility (8 papers), RNA modifications and cancer (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). Hao Yan is often cited by papers focused on Reproductive Biology and Fertility (8 papers), RNA modifications and cancer (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). Hao Yan collaborates with scholars based in China, United States and Macao. Hao Yan's co-authors include Ke‐wei Zheng, Zhiliang Tan, Q. Wang, Zheng Tan, Jun Liu, Guoliang Xia, Chao Wang, Zhuo Chen, Chuan‐Feng Chen and Hexiang Wang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Hao Yan

40 papers receiving 764 citations

Author Peers

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

Author Last Decade Papers Cites
Hao Yan 487 160 92 83 79 48 775
Chul‐Hoon Lee 511 1.0× 47 0.3× 69 0.8× 106 1.3× 124 1.6× 49 887
Yao Xiao 254 0.5× 88 0.6× 57 0.6× 116 1.4× 24 0.3× 38 643
Taisuke Nakayama 380 0.8× 147 0.9× 89 1.0× 73 0.9× 32 0.4× 55 821
Serafina Battistelli 296 0.6× 59 0.4× 45 0.5× 42 0.5× 213 2.7× 42 747
Eiichi Tachikawa 388 0.8× 52 0.3× 79 0.9× 121 1.5× 49 0.6× 47 868
Sara Correia 206 0.4× 113 0.7× 42 0.5× 214 2.6× 38 0.5× 36 680
Takashi Kusakari 251 0.5× 54 0.3× 36 0.4× 105 1.3× 41 0.5× 31 629
Yaru Xu 285 0.6× 61 0.4× 22 0.2× 69 0.8× 34 0.4× 55 727
Anthony K. Palmer 173 0.4× 88 0.6× 31 0.3× 37 0.4× 63 0.8× 38 792
Jayakanthan Mannu 253 0.5× 59 0.4× 30 0.3× 116 1.4× 143 1.8× 68 739

Countries citing papers authored by Hao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Yan

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