Yulan Rao

50 total papers · 860 total citations
43 papers, 707 citations indexed

About

Yulan Rao is a scholar working on Toxicology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Yulan Rao has authored 43 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Toxicology, 16 papers in Molecular Biology and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Yulan Rao's work include Forensic Toxicology and Drug Analysis (26 papers), Alcohol Consumption and Health Effects (12 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Yulan Rao is often cited by papers focused on Forensic Toxicology and Drug Analysis (26 papers), Alcohol Consumption and Health Effects (12 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Yulan Rao collaborates with scholars based in China, Canada and Denmark. Yulan Rao's co-authors include Bingren Xiang, Yurong Zhang, Zhibin Huang, Zoltán Mester, Alessandro D’Ulivo, Emilia Bramanti, Margaret McCooeye, Chen Liang, Xiao‐Hua Zhou and Zhimei Wang and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Journal of Lipid Research.

In The Last Decade

Yulan Rao

42 papers receiving 689 citations

Author Peers

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

Author						Papers	Cites
Yulan Rao	253	191	148	146	94	43	707
Ray H. Liu	248 1.0×	233 1.2×	115 0.8×	314 2.2×	33 0.4×	45	789
Yan Shi	331 1.3×	265 1.4×	83 0.6×	173 1.2×	75 0.8×	76	779
Veniero Gambaro	194 0.8×	180 0.9×	53 0.4×	124 0.8×	56 0.6×	60	779
Maiko Kusano	206 0.8×	279 1.5×	76 0.5×	184 1.3×	49 0.5×	33	658
Solfrid Hegstad	237 0.9×	108 0.6×	142 1.0×	166 1.1×	64 0.7×	33	690
Jin Young Kim	342 1.4×	134 0.7×	109 0.7×	168 1.2×	76 0.8×	53	678
Carl E. Wolf	183 0.7×	100 0.5×	66 0.4×	89 0.6×	41 0.4×	39	763
Nadia Fucci	403 1.6×	127 0.7×	137 0.9×	198 1.4×	53 0.6×	51	852
Fabio Savini	103 0.4×	141 0.7×	235 1.6×	183 1.3×	33 0.4×	33	702
Nadia De Giovanni	335 1.3×	120 0.6×	146 1.0×	199 1.4×	82 0.9×	46	789

Countries citing papers authored by Yulan Rao

Since Specialization

Citations

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

Fields of papers citing papers by Yulan Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulan Rao

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