Taiyi Jin
- Health, Toxicology and Mutagenesis top 0.1%
- Nutrition and Dietetics top 0.2%
- Pollution top 0.5%
- Molecular Biology
- Plant Science top 10%
- Co-authors
- Gunnar F. NordbergMonica NordbergGuoying ZhuJian LuLijian LeiQinghu KongAlfred BernardYihuai Liang
- Topics
- Heavy Metal Exposure and Toxicity (105 papers)Trace Elements in Health (62 papers)Heavy metals in environment (47 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
In The Last Decade
Taiyi Jin
134 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 137
- Health, Toxicology and Mutagenesis 3.3k
- Nutrition and Dietetics 1.6k
- Pollution 1.6k
- Molecular Biology 432
- Plant Science 358
Countries citing papers authored by Taiyi Jin
This map shows the geographic impact of Taiyi Jin'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 Taiyi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taiyi Jin more than expected).
Fields of papers citing papers by Taiyi Jin
This network shows the impact of papers produced by Taiyi Jin. 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 Taiyi Jin. The network helps show where Taiyi Jin may publish in the future.
Co-authorship network of co-authors of Taiyi Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Taiyi Jin. A scholar is included among the top collaborators of Taiyi Jin 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 Taiyi Jin. Taiyi Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | 33 | |
| 5 | 23 | |
| 6 | Improvement and application of a competitive ELISA for detection of metallothionein in human urine. | 1 |
| 7 | Progress of the Study on Toxic Effects of Cadmium on Kidney and Bone | 2 |
| 8 | Effects of cadmium on proliferation,apoptosis,differentiation and mineralization in osteoblast in vitro | 2 |
| 9 | 25 | |
| 10 | Research Advances on Estrogen Receptor | 1 |
| 11 | 130 | |
| 12 | 35 | |
| 13 | 50 | |
| 14 | Screening Estrogenicity of Cadmium Using Uterotrophic Assay | 1 |
| 15 | 15 | |
| 16 | 49 | |
| 17 | 12 | |
| 18 | 145 | |
| 19 | 33 | |
| 20 | 2 |
About Taiyi Jin
Taiyi Jin is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Nutrition and Dietetics, having authored 135 papers that have together received 4.4k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (105 papers), Trace Elements in Health (62 papers) and Heavy metals in environment (47 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (3.3k citations), Pollution (1.6k citations) and Nutrition and Dietetics (1.6k citations). Taiyi Jin has collaborated with scholars based in China, Sweden and Belgium. Frequent co-authors include Gunnar F. Nordberg, Monica Nordberg, Guoying Zhu, Jian Lu, Lijian Lei, Qinghu Kong, Alfred Bernard, Yihuai Liang, Tingting Ye and Hong‐Fu Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.
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.