Ting Bai

33 total papers · 1.0k total citations
26 papers, 816 citations indexed

About

Ting Bai is a scholar working on Molecular Biology, Epidemiology and Complementary and alternative medicine. According to data from OpenAlex, Ting Bai has authored 26 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Complementary and alternative medicine. Recurrent topics in Ting Bai's work include Liver Disease Diagnosis and Treatment (7 papers), Liver physiology and pathology (7 papers) and Nigella sativa pharmacological applications (5 papers). Ting Bai is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Liver physiology and pathology (7 papers) and Nigella sativa pharmacological applications (5 papers). Ting Bai collaborates with scholars based in China, United States and Taiwan. Ting Bai's co-authors include Ji‐Xing Nan, Yan‐Ling Wu, Li‐Hua Lian, Ying Wan, Yong Yang, Henry C. Chang, Vasundhara Kandachar, Youli Yao, Peng Sun and Xuejun Jin and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Ting Bai

23 papers receiving 806 citations

Author Peers

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

Author Last Decade Papers Cites
Ting Bai 351 199 181 167 122 26 816
Wenwen Wang 328 0.9× 213 1.1× 140 0.8× 202 1.2× 89 0.7× 30 920
Dongyan Gao 361 1.0× 211 1.1× 114 0.6× 122 0.7× 82 0.7× 21 763
Yanqin Bian 451 1.3× 232 1.2× 191 1.1× 140 0.8× 56 0.5× 33 967
Lei Dong 422 1.2× 215 1.1× 141 0.8× 54 0.3× 120 1.0× 42 1.0k
Hozeifa Mohamed Hassan 336 1.0× 180 0.9× 195 1.1× 165 1.0× 45 0.4× 35 768
Chengmu Hu 386 1.1× 198 1.0× 116 0.6× 75 0.4× 72 0.6× 33 843
Xiaohan Zhai 358 1.0× 141 0.7× 100 0.6× 58 0.3× 92 0.8× 31 735
Qichao Hu 402 1.1× 206 1.0× 184 1.0× 139 0.8× 59 0.5× 42 997
Chenwei Pan 550 1.6× 194 1.0× 97 0.5× 86 0.5× 32 0.3× 36 992
Yanqiu Gu 438 1.2× 125 0.6× 175 1.0× 113 0.7× 29 0.2× 34 859

Countries citing papers authored by Ting Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ting Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Bai

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