Hailong Sheng

14 total papers · 408 total citations
10 papers, 269 citations indexed

About

Hailong Sheng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hailong Sheng has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Hailong Sheng's work include Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). Hailong Sheng is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). Hailong Sheng collaborates with scholars based in China. Hailong Sheng's co-authors include Chuanhui Cao, Jingyuan Sun, Zhenru Zhu, Yan Huang, Wanjun Zhang, Peitao Zhou, Hui Wang, Ze-Qin Guo, Jian Wang and Wencong Dai and has published in prestigious journals such as Scientific Reports, Ecotoxicology and Environmental Safety and Radiotherapy and Oncology.

In The Last Decade

Hailong Sheng

8 papers receiving 267 citations

Author Peers

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

Author Last Decade Papers Cites
Hailong Sheng 129 107 78 46 38 10 269
Zhenru Zhu 131 1.0× 196 1.8× 79 1.0× 60 1.3× 19 0.5× 9 311
Miguel Garcia 78 0.6× 67 0.6× 145 1.9× 35 0.8× 5 0.1× 8 296
Amnah Othman 121 0.9× 75 0.7× 93 1.2× 43 0.9× 57 1.5× 9 277
Betül Gök Yavuz 170 1.3× 117 1.1× 136 1.7× 34 0.7× 45 1.2× 12 321
Burhan Abdullah Zaman 131 1.0× 76 0.7× 76 1.0× 25 0.5× 21 0.6× 14 271
Anupriya S. Kulkarni 119 0.9× 86 0.8× 79 1.0× 22 0.5× 16 0.4× 10 248
Ruiqi Wu 93 0.7× 144 1.3× 136 1.7× 44 1.0× 38 1.0× 8 304
Marie Mack 83 0.6× 54 0.5× 41 0.5× 39 0.8× 26 0.7× 7 193
Tan-To Cheung 104 0.8× 122 1.1× 107 1.4× 70 1.5× 39 1.0× 7 262
Hao Chen 206 1.6× 85 0.8× 70 0.9× 64 1.4× 22 0.6× 11 321

Countries citing papers authored by Hailong Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Sheng

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