Wen-song Cai

50 total papers · 730 total citations
32 papers, 511 citations indexed

About

Wen-song Cai is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Wen-song Cai has authored 32 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Cancer Research. Recurrent topics in Wen-song Cai's work include Thyroid Cancer Diagnosis and Treatment (13 papers), RNA modifications and cancer (8 papers) and Cancer-related molecular mechanisms research (5 papers). Wen-song Cai is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (13 papers), RNA modifications and cancer (8 papers) and Cancer-related molecular mechanisms research (5 papers). Wen-song Cai collaborates with scholars based in China. Wen-song Cai's co-authors include Fei Shen, Bo Xu, Jie Cao, Zhe Feng, Jianglin Li, Jiwei Chen, Jianhua Feng, Huangqing Xiao, Jianhua Feng and Qicai Liu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Archives of Biochemistry and Biophysics and BioMed Research International.

In The Last Decade

Wen-song Cai

32 papers receiving 504 citations

Author Peers

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

Author						Papers	Cites
Wen-song Cai	255	188	113	73	65	32	511
Aleksandra Topić	136 0.5×	117 0.6×	78 0.7×	47 0.6×	77 1.2×	42	557
Aurora Aiello	336 1.3×	203 1.1×	85 0.8×	45 0.6×	100 1.5×	23	570
Toshio Katô	173 0.7×	136 0.7×	61 0.5×	43 0.6×	58 0.9×	38	509
Abdullah Ekmekçi	285 1.1×	167 0.9×	59 0.5×	28 0.4×	130 2.0×	37	580
Peter Grešner	219 0.9×	89 0.5×	40 0.4×	60 0.8×	66 1.0×	25	550
Arisa Imsumran	295 1.2×	157 0.8×	112 1.0×	29 0.4×	168 2.6×	26	580
Arihiro Shibata	165 0.6×	96 0.5×	133 1.2×	33 0.5×	80 1.2×	19	557
Catia Lippolis	189 0.7×	138 0.7×	34 0.3×	32 0.4×	146 2.2×	20	530
Takasumi Shimomoto	267 1.0×	205 1.1×	40 0.4×	17 0.2×	65 1.0×	24	481
Ning‐hua Cui	203 0.8×	65 0.3×	78 0.7×	23 0.3×	56 0.9×	29	494

Countries citing papers authored by Wen-song Cai

Since Specialization

Citations

This map shows the geographic impact of Wen-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 Wen-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 Wen-song Cai more than expected).

Fields of papers citing papers by Wen-song Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen-song Cai

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