Shaofang Cai

842 total citations
22 papers, 621 citations indexed

About

Shaofang Cai is a scholar working on Health, Toxicology and Mutagenesis, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Shaofang Cai has authored 22 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 7 papers in Physiology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Shaofang Cai's work include Effects and risks of endocrine disrupting chemicals (7 papers), Bone health and osteoporosis research (3 papers) and Cancer Risks and Factors (2 papers). Shaofang Cai is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (7 papers), Bone health and osteoporosis research (3 papers) and Cancer Risks and Factors (2 papers). Shaofang Cai collaborates with scholars based in China and United States. Shaofang Cai's co-authors include Yingjun Li, Mingjuan Jin, Kun Chen, Chunhong Fan, Ding Ye, Jiayao Fan, Shuai Mi, Jianhong Ye, Jiahao Zhu and Lingling Sun and has published in prestigious journals such as The Science of The Total Environment, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Shaofang Cai

22 papers receiving 617 citations

Peers

Shaofang Cai
Comparison fields: 5 of 99
  • Health, Toxicology and Mutagenesis 146
  • Physiology 144
  • Molecular Biology 112
  • Oncology 104
  • Pathology and Forensic Medicine 90
Replace Shijie Zhu with:
Shijie Zhu China
Magdalena Chełchowska Poland
Jadwiga Ambroszkiewicz Poland
Jonathan George United States
Charlene Franz United States
İffet Bircan Türkiye
Mahendra Pal Singh Negi India
Yanling Liu China
Christoph Reichetzeder Germany
Shijie Zhu China View profile →
Citations per field, relative to Shaofang Cai
Shaofang Cai · 1×
Citations per year, relative to Shaofang Cai
Shaofang Cai · 1×

Countries citing papers authored by Shaofang Cai

Since Specialization
Citations

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

Fields of papers citing papers by Shaofang Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaofang Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Shaofang Cai. A scholar is included among the top collaborators of Shaofang 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 Shaofang Cai. Shaofang 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 16
2 9
3 5
4 34
5 16
6 46
7 10
8 33
9 12
10 11
11 64
12 28
13 33
14 5
15 22
16 47
17 110
18 23
19 9
20 49

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026