Yuhai Dai

15 total papers · 843 total citations
13 papers, 622 citations indexed

About

Yuhai Dai is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Yuhai Dai has authored 13 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Yuhai Dai's work include Telomeres, Telomerase, and Senescence (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Cervical Cancer and HPV Research (3 papers). Yuhai Dai is often cited by papers focused on Telomeres, Telomerase, and Senescence (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Cervical Cancer and HPV Research (3 papers). Yuhai Dai collaborates with scholars based in United States, United Kingdom and Italy. Yuhai Dai's co-authors include Richard Schlegel, Xuefeng Liu, Bechara Kachar, Renxiang Chen, Aleksandra Dakic, Jennifer Lippincott‐Schwartz, Prabuddha Sengupta, Dylan T. Burnette, Yiyu Zhang and Frank A. Suprynowicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Yuhai Dai

13 papers receiving 612 citations

Author Peers

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

Author						Papers	Cites
Yuhai Dai	230	223	138	95	80	13	622
Nicole J. Kubat	162 0.7×	330 1.5×	56 0.4×	25 0.3×	57 0.7×	14	669
A. Henderson	210 0.9×	184 0.8×	165 1.2×	24 0.3×	188 2.4×	10	638
Diana Ordoñez‐Rueda	273 1.2×	61 0.3×	59 0.4×	73 0.8×	75 0.9×	15	706
Christopher Barry	389 1.7×	161 0.7×	19 0.1×	40 0.4×	177 2.2×	18	754
Brittani Bungart	124 0.5×	105 0.5×	31 0.2×	53 0.6×	53 0.7×	17	569
Harvey F. Chin	346 1.5×	51 0.2×	52 0.4×	67 0.7×	13 0.2×	16	765
Anne Reversat	204 0.9×	73 0.3×	48 0.3×	102 1.1×	84 1.1×	9	757
Michael Carnell	269 1.2×	56 0.3×	36 0.3×	37 0.4×	35 0.4×	17	564
Souichi Kurita	367 1.6×	33 0.1×	63 0.5×	40 0.4×	68 0.8×	18	741
Masatsune Tsujioka	346 1.5×	228 1.0×	21 0.2×	91 1.0×	49 0.6×	24	709

Countries citing papers authored by Yuhai Dai

Since Specialization

Citations

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

Fields of papers citing papers by Yuhai Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhai Dai

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