Haiming Liu

66 total papers · 1.2k total citations
39 papers, 810 citations indexed

About

Haiming Liu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Haiming Liu has authored 39 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Immunology. Recurrent topics in Haiming Liu's work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers) and RNA modifications and cancer (7 papers). Haiming Liu is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers) and RNA modifications and cancer (7 papers). Haiming Liu collaborates with scholars based in China, United States and Taiwan. Haiming Liu's co-authors include Yuanning Liu, Hao Zhang, Nan Wu, Mingzuo Jiang, Xiaodan Zhong, Yi Chu, Yongzhan Nie, Jiayi Cao, Xin Xie and Yuying Han and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Biochemical and Biophysical Research Communications.

In The Last Decade

Haiming Liu

37 papers receiving 805 citations

Author Peers

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

Author Last Decade Papers Cites
Haiming Liu 562 375 74 74 73 39 810
Mingsong Wang 546 1.0× 281 0.7× 49 0.7× 61 0.8× 106 1.5× 33 753
Zhen Cao 579 1.0× 341 0.9× 83 1.1× 53 0.7× 77 1.1× 39 887
Jessica Gasparello 626 1.1× 344 0.9× 90 1.2× 50 0.7× 48 0.7× 71 949
Maša Ždralević 806 1.4× 445 1.2× 73 1.0× 49 0.7× 97 1.3× 26 1.0k
Kai Yu 462 0.8× 308 0.8× 89 1.2× 69 0.9× 71 1.0× 67 814
Qingjiao Li 766 1.4× 389 1.0× 39 0.5× 94 1.3× 89 1.2× 30 1.0k
Wu Zhou 593 1.1× 300 0.8× 116 1.6× 155 2.1× 74 1.0× 46 995
Chunyu Li 527 0.9× 260 0.7× 58 0.8× 63 0.9× 96 1.3× 37 795
Yongmei Li 706 1.3× 384 1.0× 58 0.8× 38 0.5× 118 1.6× 45 976
Yihan Zhang 565 1.0× 266 0.7× 79 1.1× 33 0.4× 85 1.2× 54 784

Countries citing papers authored by Haiming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haiming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiming Liu

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