Jingmei Song

32 total papers · 674 total citations
22 papers, 536 citations indexed

About

Jingmei Song is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Jingmei Song has authored 22 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Surgery and 4 papers in Oncology. Recurrent topics in Jingmei Song's work include Cholesterol and Lipid Metabolism (6 papers), Drug Transport and Resistance Mechanisms (4 papers) and Lipid metabolism and biosynthesis (3 papers). Jingmei Song is often cited by papers focused on Cholesterol and Lipid Metabolism (6 papers), Drug Transport and Resistance Mechanisms (4 papers) and Lipid metabolism and biosynthesis (3 papers). Jingmei Song collaborates with scholars based in China, United States and Egypt. Jingmei Song's co-authors include Shobha Ghosh, Bin Zhao, Jinghua Bie, Richard W. St. Clair, Woon N. Chow, Lawrence L. Rudel, Jerome F. Strauss, Steven L. Brody, Zhibing Zhang and Xue‐Ning Shen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Jingmei Song

20 papers receiving 531 citations

Author Peers

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

Author						Papers	Cites
Jingmei Song	216	201	93	93	73	22	536
Jinghua Bie	162 0.8×	235 1.2×	98 1.1×	116 1.2×	64 0.9×	17	523
Ki‐Baik Hahm	272 1.3×	171 0.9×	71 0.8×	64 0.7×	45 0.6×	21	574
Tommaso Centorrino	308 1.4×	152 0.8×	65 0.7×	108 1.2×	36 0.5×	22	617
Yongwei Wang	145 0.7×	247 1.2×	83 0.9×	77 0.8×	54 0.7×	25	586
V. Vallet	154 0.7×	295 1.5×	47 0.5×	36 0.4×	69 0.9×	17	579
Alexis Stamatikos	127 0.6×	183 0.9×	56 0.6×	68 0.7×	125 1.7×	32	467
Donna G. Virgil	188 0.9×	150 0.7×	95 1.0×	66 0.7×	77 1.1×	17	487
Faxi Wang	71 0.3×	243 1.2×	67 0.7×	125 1.3×	54 0.7×	26	542
T. Nakai	172 0.8×	158 0.8×	54 0.6×	53 0.6×	93 1.3×	27	560
Roser Rosales	124 0.6×	175 0.9×	47 0.5×	57 0.6×	92 1.3×	21	456

Countries citing papers authored by Jingmei Song

Since Specialization

Citations

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

Fields of papers citing papers by Jingmei Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingmei Song

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