Da Cai

29 total papers · 466 total citations
18 papers, 314 citations indexed

About

Da Cai is a scholar working on Molecular Biology, Food Science and Organic Chemistry. According to data from OpenAlex, Da Cai has authored 18 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Food Science and 3 papers in Organic Chemistry. Recurrent topics in Da Cai's work include Genomics, phytochemicals, and oxidative stress (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Da Cai is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Da Cai collaborates with scholars based in China, United States and Australia. Da Cai's co-authors include Danlei Li, Wang Fang, Zhenjun Zhu, Xiaolin Liang, Shancang Zhao, Lian Yu, Quanyang Li, Pei‐Hong Shen, Ting Yu and Yang Yang and has published in prestigious journals such as Nutrients, Food and Chemical Toxicology and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Da Cai

16 papers receiving 306 citations

Author Peers

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

Author Last Decade Papers Cites
Da Cai 184 118 34 32 25 18 314
Anja Heider 155 0.8× 71 0.6× 34 1.0× 23 0.7× 16 0.6× 18 287
Benthe van der Lugt 208 1.1× 87 0.7× 49 1.4× 28 0.9× 35 1.4× 10 300
Ying Wang 202 1.1× 57 0.5× 33 1.0× 27 0.8× 33 1.3× 21 333
Jiawei Wang 166 0.9× 66 0.6× 24 0.7× 31 1.0× 9 0.4× 19 356
Andrew Cunningham 189 1.0× 120 1.0× 35 1.0× 28 0.9× 18 0.7× 10 298
Ping Liu 210 1.1× 76 0.6× 29 0.9× 64 2.0× 17 0.7× 9 344
Samuel M. Lancaster 183 1.0× 62 0.5× 42 1.2× 35 1.1× 16 0.6× 9 287
Sydney P. Thomas 193 1.0× 64 0.5× 21 0.6× 51 1.6× 13 0.5× 11 305
Hiroko Horiuchi 173 0.9× 97 0.8× 40 1.2× 43 1.3× 16 0.6× 12 324
Lingshuang Yang 256 1.4× 143 1.2× 72 2.1× 42 1.3× 21 0.8× 19 349

Countries citing papers authored by Da Cai

Since Specialization
Citations

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

Fields of papers citing papers by Da Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Da Cai. A scholar is included among the top collaborators of Da 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 Da Cai. Da 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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2026