Chaolong Rao

51 total papers · 865 total citations
31 papers, 618 citations indexed

About

Chaolong Rao is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Chaolong Rao has authored 31 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Pharmacology and 8 papers in Pharmacology. Recurrent topics in Chaolong Rao's work include Plant-based Medicinal Research (7 papers), Berberine and alkaloids research (6 papers) and Chromatography in Natural Products (5 papers). Chaolong Rao is often cited by papers focused on Plant-based Medicinal Research (7 papers), Berberine and alkaloids research (6 papers) and Chromatography in Natural Products (5 papers). Chaolong Rao collaborates with scholars based in China and India. Chaolong Rao's co-authors include Cheng Peng, Tingting Hu, Xiaoqi Pan, Jian Zhang, Yan Huang, Hong Yan, Xu Wu, Dandan Yan, Yan Chen and Jing Wang and has published in prestigious journals such as International Journal of Molecular Sciences, The Journal of Organic Chemistry and Journal of Ethnopharmacology.

In The Last Decade

Chaolong Rao

29 papers receiving 614 citations

Hit Papers

Endoplasmic reticulum str... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Chaolong Rao 255 111 100 93 81 31 618
Ruolan Song 328 1.3× 67 0.6× 73 0.7× 62 0.7× 82 1.0× 33 607
Joohee Kim 272 1.1× 54 0.5× 72 0.7× 41 0.4× 104 1.3× 40 693
Yuanyuan Zhang 205 0.8× 140 1.3× 58 0.6× 59 0.6× 47 0.6× 41 613
Rekha Jakhar 322 1.3× 49 0.4× 48 0.5× 112 1.2× 126 1.6× 29 661
Jin‐Ming Hwang 281 1.1× 151 1.4× 43 0.4× 55 0.6× 101 1.2× 16 689
Sangeetha Nagarajan 332 1.3× 81 0.7× 59 0.6× 31 0.3× 86 1.1× 28 685
Nabil Mohie Abdel‐Hamid 239 0.9× 113 1.0× 36 0.4× 83 0.9× 80 1.0× 61 645
Sang Gwon Seo 240 0.9× 68 0.6× 47 0.5× 121 1.3× 68 0.8× 21 625
Lingyun Fu 327 1.3× 93 0.8× 141 1.4× 49 0.5× 111 1.4× 25 696
Wen‐Hu Liu 160 0.6× 55 0.5× 46 0.5× 65 0.7× 73 0.9× 24 552

Countries citing papers authored by Chaolong Rao

Since Specialization
Citations

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

Fields of papers citing papers by Chaolong Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaolong Rao

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