Haoran Tai

19 total papers · 3.6k total citations
15 papers, 897 citations indexed

About

Haoran Tai is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Haoran Tai has authored 15 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Haoran Tai's work include Autophagy in Disease and Therapy (5 papers), Calcium signaling and nucleotide metabolism (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Haoran Tai is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Calcium signaling and nucleotide metabolism (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Haoran Tai collaborates with scholars based in China, United States and United Kingdom. Haoran Tai's co-authors include Hengyi Xiao, Xiaojuan Han, Hui Gong, Jiao Zhou, Xiaobo Wang, Ning Huang, Yi Ding, Xiawei Wei, Rong Xiang and Zhe Wang and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Frontiers in Immunology.

In The Last Decade

Haoran Tai

14 papers receiving 893 citations

Author Peers

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

Author						Papers	Cites
Haoran Tai	486	258	254	134	111	15	897
Matthew Redmann	515 1.1×	377 1.5×	161 0.6×	75 0.6×	78 0.7×	16	906
Arindam Chaudhury	375 0.8×	276 1.1×	196 0.8×	82 0.6×	102 0.9×	16	811
Caiyue Xu	538 1.1×	375 1.5×	211 0.8×	88 0.7×	97 0.9×	7	960
Ning Huang	300 0.6×	234 0.9×	210 0.8×	76 0.6×	86 0.8×	25	945
Kelly Gray	469 1.0×	112 0.4×	233 0.9×	183 1.4×	248 2.2×	16	996
Shan Wang	417 0.9×	353 1.4×	85 0.3×	98 0.7×	75 0.7×	12	706
Yanan Sun	349 0.7×	103 0.4×	254 1.0×	125 0.9×	55 0.5×	23	724
Inmaculada Valle	603 1.2×	123 0.5×	414 1.6×	134 1.0×	49 0.4×	12	974
Ming-Hui Zou	385 0.8×	94 0.4×	160 0.6×	102 0.8×	145 1.3×	12	952
Rimpy Dhingra	567 1.2×	228 0.9×	118 0.5×	119 0.9×	61 0.5×	25	1.0k

Countries citing papers authored by Haoran Tai

Since Specialization

Citations

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

Fields of papers citing papers by Haoran Tai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoran Tai

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