Hui Cai

219 papers receiving 7.2k citations

Peers

Hui Cai
Comparison fields: 5 of 155
  • Biochemistry 327
  • Nutrition and Dietetics 796
  • Pathology and Forensic Medicine 753
  • Public Health, Environmental and Occupational Health 1.2k
  • Cancer Research 626
Replace Yong‐Bing Xiang with:
Yong‐Bing Xiang China
Honglan Li China
Woon‐Puay Koh Singapore
Norie Sawada Japan
Sabine Rohrmann Switzerland
Vittorio Krogh Italy
NaNa Keum United States
Qi Dai United States
Shinkan Tokudome Japan
Susan E. Hankinson United States
Hui Cai relative to Yong‐Bing Xiang China Yong‐Bing Xiang's profile →
Citations per field
00.5×1.5×
Yong‐Bing Xiang · 1×
Citations per year

Countries citing papers authored by Hui Cai

Since Specialization
Citations

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

Fields of papers citing papers by Hui Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hui Cai Line = papers co-authored together Hui Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 226 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016222
2 2009170
3 2011155
4 2009151
5 2007149
6 2011149
7 2015131
8 2013113
9 2013105
10 2008103
11 2010101
12 201198
13 200793
14 201593
15 201491
16 201190
17 201087
18 200986
19 201483
20 200480

About Hui Cai

Hui Cai is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Cancer Research and Pathology and Forensic Medicine, having authored 226 papers that have together received 7.4k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (27 papers), Cancer Risks and Factors (26 papers), Phytoestrogen effects and research (13 papers), Antioxidant Activity and Oxidative Stress (10 papers), Gut microbiota and health (9 papers), Cancer, Lipids, and Metabolism (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Biochemistry (327 citations), Nutrition and Dietetics (796 citations), Pathology and Forensic Medicine (753 citations), Public Health, Environmental and Occupational Health (1.2k citations) and Cancer Research (626 citations). Hui Cai has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Wei Zheng, Gong Yang, Xiao‐Ou Shu, Honglan Li, Yu‐Tang Gao, Yong‐Bing Xiang, Xiao Ou Shu, Qiuyin Cai, Bu‐Tian Ji and Yu-Tang Gao. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer Epidemiology Biomarkers & Prevention, International Journal of Cancer, PLoS ONE and American Journal of Epidemiology.

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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