Xiaoru Dong
Impact in
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
-
- Cannabis and Cannabinoid Research
Papers in
-
- Single-cell and spatial transcriptomics 2
- Metabolomics and Mass Spectrometry Studies 2
- Developmental Biology and Gene Regulation 2
-
- Alcohol Consumption and Health Effects 8
- Co-authors
- Yan Jiang (15 shared papers)Liliang Li (5 shared papers)Yong‐Hong Ye (7 shared papers)Rhonda Bacher (6 shared papers)Shi‐Ming Wan (3 shared papers)Zexia Gao (3 shared papers)Yulong Chen (3 shared papers)Todd M. Brusko (4 shared papers)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)Journal of Analytical Toxicology (2 papers)Frontiers in Immunology (2 papers)JCI Insight (2 papers)Molecular and Cellular Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoru Dong
35 papers receiving 425 citations
Peers
Comparison fields: 5 of 88
- Toxicology 32
- Pharmacology 75
- Immunology 52
- Genetics 61
- Pathology and Forensic Medicine 34
Countries citing papers authored by Xiaoru Dong
This map shows the geographic impact of Xiaoru Dong'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 Xiaoru Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoru Dong more than expected).
Fields of papers citing papers by Xiaoru Dong
This network shows the impact of papers produced by Xiaoru Dong. 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 Xiaoru Dong. The network helps show where Xiaoru Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoru Dong, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 30 | |
| 2 | 2019 | 29 | |
| 3 | 2022 | 29 | |
| 4 | 2021 | 28 | |
| 5 | 2023 | 28 | |
| 6 | 2019 | 25 | |
| 7 | 2023 | 23 | |
| 8 | 2020 | 23 | |
| 9 | 2016 | 23 | |
| 10 | 2020 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2020 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2012 | 9 | |
| 20 | 2020 | 6 |
About Xiaoru Dong
Xiaoru Dong is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pharmacology, Toxicology and Genetics, having authored 36 papers that have together received 430 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (8 papers), Cannabis and Cannabinoid Research (7 papers), Forensic Toxicology and Drug Analysis (5 papers), Diabetes and associated disorders (3 papers), Single-cell and spatial transcriptomics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Developmental Biology and Gene Regulation (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Toxicology (32 citations), Pharmacology (75 citations), Immunology (52 citations), Genetics (61 citations) and Pathology and Forensic Medicine (34 citations). Xiaoru Dong has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yan Jiang, Liliang Li, Yong‐Hong Ye, Rhonda Bacher, Shi‐Ming Wan, Zexia Gao, Yulong Chen, Todd M. Brusko, Jieqing Jiang and Fenglian Yan. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Journal of Analytical Toxicology, Frontiers in Immunology, JCI Insight and Molecular and Cellular Biochemistry.
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.