Hailong Fu

27 total papers · 993 total citations
21 papers, 771 citations indexed

About

Hailong Fu is a scholar working on Molecular Biology, Cancer Research and Nuclear and High Energy Physics. According to data from OpenAlex, Hailong Fu has authored 21 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Nuclear and High Energy Physics. Recurrent topics in Hailong Fu's work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Extracellular vesicles in disease (5 papers). Hailong Fu is often cited by papers focused on MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Extracellular vesicles in disease (5 papers). Hailong Fu collaborates with scholars based in China, Germany and Georgia. Hailong Fu's co-authors include Xu Zhang, Huan Yang, Hui Qian, Mei Wang, Wenrong Xu, Jiahui Mao, Bin Zhang, Wenrong Xu, Zixuan Sun and Yongmin Yan and has published in prestigious journals such as Scientific Reports, Stem Cells and Journal of High Energy Physics.

In The Last Decade

Hailong Fu

18 papers receiving 761 citations

Hit Papers

Prediction model and real... 2025 2026 2025 5 10 15

Author Peers

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

Author Last Decade Papers Cites
Hailong Fu 579 420 91 81 78 21 771
Ola A. Elgamal 657 1.1× 407 1.0× 71 0.8× 52 0.6× 44 0.6× 15 744
Seiichiro Yoshizawa 708 1.2× 548 1.3× 86 0.9× 97 1.2× 64 0.8× 30 877
Tobias Tertel 692 1.2× 357 0.8× 73 0.8× 36 0.4× 120 1.5× 34 794
Stéphane Flamant 392 0.7× 265 0.6× 93 1.0× 122 1.5× 146 1.9× 29 720
Shinji Iizuka 444 0.8× 260 0.6× 73 0.8× 247 3.0× 29 0.4× 22 909
Jacob E. Till 324 0.6× 251 0.6× 31 0.3× 163 2.0× 109 1.4× 27 626
Stefania Berton 399 0.7× 264 0.6× 78 0.9× 400 4.9× 33 0.4× 28 848
Pingli Xie 491 0.8× 280 0.7× 180 2.0× 144 1.8× 47 0.6× 27 841
A. Eberhard 407 0.7× 220 0.5× 56 0.6× 178 2.2× 57 0.7× 14 748
Adrienne M. Dorrance 412 0.7× 191 0.5× 145 1.6× 98 1.2× 69 0.9× 26 688

Countries citing papers authored by Hailong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong Fu. A scholar is included among the top collaborators of Hailong Fu 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 Hailong Fu. Hailong Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026