Xi Jin
Impact in
- Toxicology top 1%
- Bioactive Compounds and Antitumor Agents
-
- Heavy Metal Exposure and Toxicity
Papers in
-
- Receptor Mechanisms and Signaling 8
-
- Neuropeptides and Animal Physiology 8
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Shiwen Xu (7 shared papers)Renyu Liu (23 shared papers)Menghao Chen (4 shared papers)Roderic G. Eckenhoff (13 shared papers)Shusheng Tang (9 shared papers)Xilong Xiao (10 shared papers)Ting Zhang (6 shared papers)Ruohan Liu (1 shared paper)
- Journals
- Chemosphere (5 papers)PLoS ONE (3 papers)Anesthesia & Analgesia (3 papers)China CDC Weekly (2 papers)Biological Trace Element Research (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xi Jin
89 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 144
- Toxicology 118
- Health, Toxicology and Mutagenesis 409
- Nutrition and Dietetics 392
- Developmental Neuroscience 62
- Molecular Biology 842
Countries citing papers authored by Xi Jin
This map shows the geographic impact of Xi 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 Xi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Jin more than expected).
Fields of papers citing papers by Xi Jin
This network shows the impact of papers produced by Xi 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 Xi Jin. The network helps show where Xi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 152 | |
| 2 | 2017 | 145 | |
| 3 | 2008 | 116 | |
| 4 | 2018 | 107 | |
| 5 | 2014 | 104 | |
| 6 | 2014 | 104 | |
| 7 | 2017 | 102 | |
| 8 | 2018 | 101 | |
| 9 | 2015 | 96 | |
| 10 | 2013 | 79 | |
| 11 | 2018 | 73 | |
| 12 | 2016 | 73 | |
| 13 | 2018 | 69 | |
| 14 | 2009 | 69 | |
| 15 | 2015 | 68 | |
| 16 | 2019 | 66 | |
| 17 | 2009 | 62 | |
| 18 | 2010 | 58 | |
| 19 | 2003 | 57 | |
| 20 | 2009 | 50 |
About Xi Jin
Xi Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Nutrition and Dietetics and Health, Toxicology and Mutagenesis, having authored 93 papers that have together received 3.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (8 papers), Heavy Metal Exposure and Toxicity (7 papers), Trace Elements in Health (6 papers), Synthesis and Biological Evaluation (6 papers), Computational Drug Discovery Methods (5 papers), Anesthesia and Neurotoxicity Research (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Toxicology (118 citations), Health, Toxicology and Mutagenesis (409 citations), Nutrition and Dietetics (392 citations), Developmental Neuroscience (62 citations) and Molecular Biology (842 citations). Xi Jin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shiwen Xu, Renyu Liu, Menghao Chen, Roderic G. Eckenhoff, Shusheng Tang, Xilong Xiao, Ting Zhang, Ruohan Liu, Tiantian Jia and Jeffery G. Saven. Their work appears in journals such as Chemosphere, PLoS ONE, Anesthesia & Analgesia, China CDC Weekly and Biological Trace Element Research.
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.