Shankai Yan

48 total papers · 1.3k total citations
25 papers, 245 citations indexed

About

Shankai Yan is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shankai Yan has authored 25 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Shankai Yan's work include RNA and protein synthesis mechanisms (6 papers), Biomedical Text Mining and Ontologies (6 papers) and Machine Learning in Bioinformatics (6 papers). Shankai Yan is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Biomedical Text Mining and Ontologies (6 papers) and Machine Learning in Bioinformatics (6 papers). Shankai Yan collaborates with scholars based in China, Hong Kong and Macao. Shankai Yan's co-authors include Ka‐Chun Wong, Junyi Chen, Zhiyong Lu, Qiuzhen Lin, Kyubum Lee, Xiangtao Li, Sun Kim, Chih-Hsuan Wei, Qingyu Chen and Sam Kwong and has published in prestigious journals such as Bioinformatics, ACM Computing Surveys and BMC Bioinformatics.

In The Last Decade

Shankai Yan

23 papers receiving 237 citations

Author Peers

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

Author						Papers	Cites
Shankai Yan	131	126	24	22	22	25	245
Konstantinos Sechidis	65 0.5×	109 0.9×	8 0.3×	15 0.7×	12 0.5×	22	311
Hu Ding	85 0.6×	121 1.0×	22 0.9×	19 0.9×	9 0.4×	35	295
José Antonio Miñarro-Giménez	154 1.2×	154 1.2×	21 0.9×	26 1.2×	5 0.2×	31	251
Vid Podpečan	70 0.5×	143 1.1×	5 0.2×	61 2.8×	17 0.8×	32	314
Seongsoon Kim	102 0.8×	151 1.2×	12 0.5×	136 6.2×	9 0.4×	15	331
Zhiqun Chen	24 0.2×	137 1.1×	7 0.3×	42 1.9×	19 0.9×	30	302
David Wadden	151 1.2×	81 0.6×	8 0.3×	14 0.6×	16 0.7×	13	280
Maulik R. Kamdar	122 0.9×	150 1.2×	8 0.3×	45 2.0×	13 0.6×	24	299
Johannes Starlinger	124 0.9×	120 1.0×	32 1.3×	36 1.6×	19 0.9×	15	257
Nicolas Wicker	156 1.2×	76 0.6×	43 1.8×	5 0.2×	15 0.7×	24	295

Countries citing papers authored by Shankai Yan

Since Specialization

Citations

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

Fields of papers citing papers by Shankai Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankai Yan

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