Ting Bao

7.4k citations
178 papers · 5.3k indexed · 2 hit papers · h-index 41
Topics
Advanced biosensing and bioanalysis techniques (33 papers)Cancer Treatment and Pharmacology (26 papers)Acupuncture Treatment Research Studies (25 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Ting Bao

164 papers receiving 5.2k citations

Hit Papers

Integrative Therapies During and After Breast Cancer Trea...20182026202020232018202250100150200250

Peers

Ting Bao
Comparison fields: 5 of 162
  • Oncology 1.5k
  • Molecular Biology 1.5k
  • Materials Chemistry 977
  • Complementary and alternative medicine 887
  • Biomedical Engineering 485
Replace António Pinto with:
António Pinto Italy
Tadeusz Maliñski United States
Ali Ezzati Iran
Massimiliano Peana Italy
Ge Li China
Wen Liu China
Philip Beale Australia
Didier Carrié France
Haiyong Chen China
Paulo J. Oliveira Portugal
Ting Bao relative to António Pinto Italy António Pinto's profile →
Citations per field
00.5×3.3×
António Pinto · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 14
4 1
5 19
6 4
7 24
8 6
9 1
10 6
11 5
12 4
13 92
14 1
15 42
16 44
17 6
18 256
19 10
20 38

About Ting Bao

Ting Bao is a scholar working on Complementary and alternative medicine, Oncology and Dermatology, having authored 178 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (33 papers), Cancer Treatment and Pharmacology (26 papers) and Acupuncture Treatment Research Studies (25 papers). The work is most often cited by research in Complementary and alternative medicine (887 citations), Oncology (1.5k citations) and Dermatology (309 citations). Ting Bao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Shengfu Wang, Xun Zhang, Wei Wen, Jun J. Mao, Saranya Chumsri, Christina Seluzicki, Gary Deng, Timothy R. Howes, Gauri Sabnis and Angela Brodie. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

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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