Song Cai

71 total papers · 1.2k total citations
43 papers, 804 citations indexed

About

Song Cai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Song Cai has authored 43 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Cellular and Molecular Neuroscience and 15 papers in Physiology. Recurrent topics in Song Cai's work include Pain Mechanisms and Treatments (15 papers), Ion channel regulation and function (7 papers) and Axon Guidance and Neuronal Signaling (7 papers). Song Cai is often cited by papers focused on Pain Mechanisms and Treatments (15 papers), Ion channel regulation and function (7 papers) and Axon Guidance and Neuronal Signaling (7 papers). Song Cai collaborates with scholars based in China, United States and Hong Kong. Song Cai's co-authors include Rajesh Khanna, Aubin Moutal, Shizhen Luo, Kimberly Gómez, Shreya S. Bellampalli, Dongzhi Ran, Lindsey A. Chew, Yuan Zhou, Mohab Ibrahim and Xiaofang Yang and has published in prestigious journals such as Journal of Hazardous Materials, Biochemical and Biophysical Research Communications and Pain.

In The Last Decade

Song Cai

41 papers receiving 796 citations

Author Peers

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

Author						Papers	Cites
Song Cai	366	306	291	103	53	43	804
J.C. Legrand	370 1.0×	520 1.7×	181 0.6×	181 1.8×	42 0.8×	47	947
Dongzhi Ran	313 0.9×	175 0.6×	178 0.6×	99 1.0×	79 1.5×	46	884
Matthew R. Sapio	286 0.8×	245 0.8×	318 1.1×	50 0.5×	55 1.0×	39	835
Alba Galán	500 1.4×	345 1.1×	328 1.1×	42 0.4×	52 1.0×	27	908
Reas S. Khan	362 1.0×	128 0.4×	166 0.6×	89 0.9×	45 0.8×	36	1.0k
Yulia Sidorova	372 1.0×	489 1.6×	158 0.5×	164 1.6×	47 0.9×	45	996
Claire Lafay‐Chebassier	382 1.0×	209 0.7×	282 1.0×	64 0.6×	105 2.0×	38	918
Abesh Kumar Bhattacharjee	288 0.8×	155 0.5×	156 0.5×	109 1.1×	34 0.6×	29	805
Xinying Guo	382 1.0×	180 0.6×	312 1.1×	159 1.5×	53 1.0×	35	932
Richard P. Hulse	308 0.8×	256 0.8×	398 1.4×	75 0.7×	65 1.2×	33	848

Countries citing papers authored by Song Cai

Since Specialization

Citations

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

Fields of papers citing papers by Song Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Cai

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