Xiaoya Ji
Impact in
-
- Toxic Organic Pollutants Impact
- Effects and risks of endocrine disrupting chemicals
- Air Quality and Health Impacts
- Pollution top 5%
- Microplastics and Plastic Pollution
Papers in
-
- Effects and risks of endocrine disrupting chemicals 8
- Toxic Organic Pollutants Impact 6
- Air Quality and Health Impacts 5
- Co-authors
- Mei Ma (10 shared papers)Ling Wei (3 shared papers)Zijian Wang (9 shared papers)Kaifeng Rao (9 shared papers)Jianan Wang (1 shared paper)Shan Ping Yu (1 shared paper)Xianbao Liu (1 shared paper)Yanting Li (11 shared papers)
- Journals
- Ecotoxicology and Environmental Safety (7 papers)Environmental Pollution (3 papers)Environment International (2 papers)The Science of The Total Environment (2 papers)Experimental Neurology (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Xiaoya Ji
30 papers receiving 681 citations
Peers
Comparison fields: 5 of 117
- Health, Toxicology and Mutagenesis 229
- Pollution 150
- Genetics 92
- Developmental Neuroscience 30
- Cancer Research 84
Countries citing papers authored by Xiaoya Ji
This map shows the geographic impact of Xiaoya Ji'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 Xiaoya Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoya Ji more than expected).
Fields of papers citing papers by Xiaoya Ji
This network shows the impact of papers produced by Xiaoya Ji. 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 Xiaoya Ji. The network helps show where Xiaoya Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoya Ji, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 91 | |
| 2 | 2014 | 83 | |
| 3 | 2015 | 70 | |
| 4 | 2010 | 56 | |
| 5 | 2015 | 50 | |
| 6 | 2020 | 42 | |
| 7 | 2017 | 39 | |
| 8 | 2020 | 31 | |
| 9 | 2022 | 31 | |
| 10 | 2017 | 27 | |
| 11 | 2023 | 25 | |
| 12 | 2021 | 25 | |
| 13 | 2018 | 24 | |
| 14 | 2021 | 18 | |
| 15 | 2019 | 15 | |
| 16 | 2022 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 4 |
About Xiaoya Ji
Xiaoya Ji is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Pollution, Pulmonary and Respiratory Medicine and Genetics, having authored 31 papers that have together received 686 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (8 papers), Toxic Organic Pollutants Impact (6 papers), Air Quality and Health Impacts (5 papers), Estrogen and related hormone effects (4 papers), Microplastics and Plastic Pollution (3 papers), Inhalation and Respiratory Drug Delivery (3 papers), Mesenchymal stem cell research (2 papers) and Immunotoxicology and immune responses (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (229 citations), Pollution (150 citations), Genetics (92 citations), Developmental Neuroscience (30 citations) and Cancer Research (84 citations). Xiaoya Ji has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Mei Ma, Ling Wei, Zijian Wang, Kaifeng Rao, Jianan Wang, Shan Ping Yu, Xianbao Liu, Yanting Li, Xiaohuan Gu and Jin Hwan Lee. Their work appears in journals such as Ecotoxicology and Environmental Safety, Environmental Pollution, Environment International, The Science of The Total Environment and Experimental Neurology.
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.