Yan Cai

14 total papers · 425 total citations
8 papers, 369 citations indexed

About

Yan Cai is a scholar working on Complementary and alternative medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yan Cai has authored 8 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Complementary and alternative medicine, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yan Cai's work include Cardiovascular and exercise physiology (2 papers), Thyroid Disorders and Treatments (2 papers) and Receptor Mechanisms and Signaling (2 papers). Yan Cai is often cited by papers focused on Cardiovascular and exercise physiology (2 papers), Thyroid Disorders and Treatments (2 papers) and Receptor Mechanisms and Signaling (2 papers). Yan Cai collaborates with scholars based in China, Denmark and Hong Kong. Yan Cai's co-authors include Yongfen Qi, Jun-Qiu Song, Xu Teng, Mads K. Dalsgaard, Niels H. Secher, Chaoshu Tang, Bjørn Quistorff, Kojiro Ide, Lars Nybo and Gaigai Zhang and has published in prestigious journals such as The Journal of Physiology, Journal of Molecular Medicine and APOPTOSIS.

In The Last Decade

Yan Cai

8 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Yan Cai	128	77	70	69	63	8	369
E. L. Bockman	64 0.5×	49 0.6×	98 1.4×	85 1.2×	112 1.8×	14	421
Payashi Garry	82 0.6×	45 0.6×	41 0.6×	22 0.3×	82 1.3×	9	392
M.T. Domingo	159 1.2×	93 1.2×	31 0.4×	30 0.4×	82 1.3×	9	350
Susana Vidrio	93 0.7×	33 0.4×	50 0.7×	38 0.6×	51 0.8×	13	387
Jun-Qiu Song	219 1.7×	96 1.2×	67 1.0×	31 0.4×	45 0.7×	12	414
W. Chai	87 0.7×	41 0.5×	113 1.6×	59 0.9×	147 2.3×	7	352
Yulan Sheng	88 0.7×	30 0.4×	83 1.2×	25 0.4×	48 0.8×	8	336
Yuji Kawahara	93 0.7×	45 0.6×	80 1.1×	23 0.3×	108 1.7×	11	440
Elen A. Chaves	108 0.8×	20 0.3×	108 1.5×	27 0.4×	49 0.8×	10	400
Packiasamy A.R. Juliet	127 1.0×	52 0.7×	47 0.7×	19 0.3×	142 2.3×	13	429

Countries citing papers authored by Yan Cai

Since Specialization

Citations

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

Fields of papers citing papers by Yan Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Cai

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