Ting Cai

44 total papers · 581 total citations
28 papers, 374 citations indexed

About

Ting Cai is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Ting Cai has authored 28 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pollution, 6 papers in Health, Toxicology and Mutagenesis and 4 papers in Molecular Biology. Recurrent topics in Ting Cai's work include Pesticide and Herbicide Environmental Studies (4 papers), Diabetes Treatment and Management (3 papers) and Video Analysis and Summarization (3 papers). Ting Cai is often cited by papers focused on Pesticide and Herbicide Environmental Studies (4 papers), Diabetes Treatment and Management (3 papers) and Video Analysis and Summarization (3 papers). Ting Cai collaborates with scholars based in China, United Kingdom and United States. Ting Cai's co-authors include Siyan Zhan, Richard J. McManus, Jeffrey K Aronson, Richard Hobbs, Oliver Langford, Sarah Lay‐Flurrie, Richard Stevens, Lucy Abel, James P Sheppard and Constantinos Koshiaris and has published in prestigious journals such as PLoS ONE, Cochrane Database of Systematic Reviews and Chemosphere.

In The Last Decade

Ting Cai

23 papers receiving 369 citations

Hit Papers

Associations between stat... 2021 2026 2022 2024 2021 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Ting Cai 108 99 76 40 37 28 374
Yiting Lu 51 0.5× 128 1.3× 87 1.1× 80 2.0× 11 0.3× 42 384
Wafaa Bawab 46 0.4× 40 0.4× 110 1.4× 24 0.6× 55 1.5× 25 439
Matei-Alexandru Cozma 34 0.3× 80 0.8× 65 0.9× 47 1.2× 23 0.6× 23 359
Matteo Manuelli 72 0.7× 26 0.3× 41 0.5× 18 0.5× 54 1.5× 36 430
F. Javier Jiménez 43 0.4× 30 0.3× 38 0.5× 19 0.5× 51 1.4× 14 338
Helen X. Gao 82 0.8× 211 2.1× 65 0.9× 51 1.3× 18 0.5× 14 427
Ujjaini Khanderia 91 0.8× 80 0.8× 73 1.0× 56 1.4× 17 0.5× 23 379
Shannon Miller 96 0.9× 216 2.2× 112 1.5× 15 0.4× 57 1.5× 25 441
Maria Giuseppa Sullo 91 0.8× 104 1.1× 42 0.6× 51 1.3× 32 0.9× 22 394
William Wang 59 0.5× 159 1.6× 74 1.0× 36 0.9× 47 1.3× 18 436

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

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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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