Ting Cai

580 total citations
25 papers, 442 citations indexed

About

Ting Cai is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Building and Construction. According to data from OpenAlex, Ting Cai has authored 25 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 6 papers in Environmental Engineering and 5 papers in Building and Construction. Recurrent topics in Ting Cai's work include Building Energy and Comfort Optimization (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Urban Heat Island Mitigation (4 papers). Ting Cai is often cited by papers focused on Building Energy and Comfort Optimization (5 papers), Allergic Rhinitis and Sensitization (4 papers) and Urban Heat Island Mitigation (4 papers). Ting Cai collaborates with scholars based in China, United States and United Kingdom. Ting Cai's co-authors include Zhongyuan Mi, Panos G. Georgopoulos, Leonard Bielory, Dayong Wang, Yong Zhang, Alan Robock, Xiang Ren, Shunhui Yu, Lulu Shen and Christopher G. Nolte and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Ting Cai

21 papers receiving 431 citations

Peers

Ting Cai
Comparison fields: 5 of 86
  • Immunology and Allergy 124
  • Health, Toxicology and Mutagenesis 116
  • Materials Chemistry 99
  • Aging 76
  • Ecology, Evolution, Behavior and Systematics 71
Replace Ann G. Miguel with:
Ann G. Miguel United States
Belén Elvira‐Rendueles Spain
Ching‐Chen Lee Taiwan
Yuling Dong China
Yunfeng Wang China
Rongqing Zhang China
Christophe M. R. LeMoine Canada
Roy Kennedy United Kingdom
Rafael Tormo-Molina Spain
Ann G. Miguel United States View profile →
Citations per field, relative to Ting Cai
Ting Cai · 1×
Citations per year, relative to Ting Cai
Ting Cai · 1×

Countries citing papers authored by Ting Cai

Since Specialization
Citations

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

Fields of papers citing papers by Ting Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Cai. A scholar is included among the top collaborators of Ting Cai 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 Cai. Ting Cai 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
# Work Indexed citations
1 1
2 8
3 0
4 2
5 1
6 0
7 1
8 1
9 4
10 9
11 2
12 28
13 42
14 3
15 90
16 54
17 35
18 26
19 32
20 43

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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