Ting Bao

42 total papers · 547 total citations
24 papers, 345 citations indexed

About

Ting Bao is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ting Bao has authored 24 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ting Bao's work include Nutrition and Health in Aging (5 papers), Frailty in Older Adults (3 papers) and Body Composition Measurement Techniques (3 papers). Ting Bao is often cited by papers focused on Nutrition and Health in Aging (5 papers), Frailty in Older Adults (3 papers) and Body Composition Measurement Techniques (3 papers). Ting Bao collaborates with scholars based in China, United States and Japan. Ting Bao's co-authors include Zhenzhen Li, Jirong Yue, Tong Xiang, Yao Ma, Jiajia Fu, Xueping Chen, Guiyi Ji, Yan Huang, Chengcheng Liu and Xi Liu and has published in prestigious journals such as Nano Letters, Scientific Reports and Medicine.

In The Last Decade

Ting Bao

20 papers receiving 340 citations

Hit Papers

Prevalence of depression ... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Ting Bao 168 71 51 48 35 24 345
Livio Caberlotto 104 0.6× 64 0.9× 28 0.5× 49 1.0× 19 0.5× 18 323
Susana Fernández 90 0.5× 55 0.8× 77 1.5× 14 0.3× 24 0.7× 33 348
Yu Yang 63 0.4× 31 0.4× 57 1.1× 21 0.4× 58 1.7× 25 356
Tiziano Lucchi 91 0.5× 42 0.6× 32 0.6× 32 0.7× 105 3.0× 43 394
Philip Chun-Ming Au 182 1.1× 68 1.0× 35 0.7× 40 0.8× 53 1.5× 15 401
Sami Hizmetli 84 0.5× 40 0.6× 72 1.4× 7 0.1× 25 0.7× 28 348
Mozhu Ding 31 0.2× 34 0.5× 97 1.9× 37 0.8× 42 1.2× 25 395
Roberta Barone 77 0.5× 15 0.2× 19 0.4× 20 0.4× 13 0.4× 26 295
Izumi Kadono 93 0.6× 52 0.7× 34 0.7× 65 1.4× 138 3.9× 19 327
Lolita S. Nidadavolu 83 0.5× 60 0.8× 13 0.3× 15 0.3× 36 1.0× 17 351

Countries citing papers authored by Ting Bao

Since Specialization
Citations

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

Fields of papers citing papers by Ting Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Bao

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