Junxia Yan
Impact in
-
- Toxic Organic Pollutants Impact
- Neurology top 10%
- Intracranial Aneurysms: Treatment and Complications
- Cerebrovascular and genetic disorders
Papers in ⓘ
- Neurology 20
- Intracranial Aneurysms: Treatment and Complications 16
- Vascular Malformations Diagnosis and Treatment 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Intracerebral and Subarachnoid Hemorrhage Research 3
- Cerebrovascular and genetic disorders 3
- Rheumatology 11
- Moyamoya disease diagnosis and treatment 11
- Co-authors
- Kouji H. Harada (8 shared papers)Yukiko Fujii (5 shared papers)Toshiaki Hitomi (5 shared papers)Akio Koizumi (5 shared papers)Xin Liao (11 shared papers)Jing Deng (4 shared papers)Akio Koizumi (3 shared papers)Wanyang Liu (3 shared papers)
In The Last Decade
Junxia Yan
41 papers receiving 535 citations
Peers
Comparison fields: 5 of 92
- Health, Toxicology and Mutagenesis 141
- Neurology 144
- Geriatrics and Gerontology 35
- Rheumatology 128
- Environmental Chemistry 82
Countries citing papers authored by Junxia Yan
This map shows the geographic impact of Junxia Yan'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 Junxia Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxia Yan more than expected).
Fields of papers citing papers by Junxia Yan
This network shows the impact of papers produced by Junxia Yan. 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 Junxia Yan. The network helps show where Junxia Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxia Yan, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 61 | |
| 2 | 2015 | 60 | |
| 3 | 2011 | 60 | |
| 4 | 2017 | 39 | |
| 5 | 2013 | 35 | |
| 6 | 2015 | 31 | |
| 7 | 2016 | 24 | |
| 8 | 2013 | 18 | |
| 9 | 2014 | 18 | |
| 10 | 2015 | 16 | |
| 11 | 2019 | 16 | |
| 12 | 2017 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2017 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2020 | 7 |
About Junxia Yan
Junxia Yan is a scholar working on Neurology, Rheumatology, Health, Toxicology and Mutagenesis, Neurology and Ophthalmology, having authored 41 papers that have together received 548 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (16 papers), Moyamoya disease diagnosis and treatment (11 papers), Vascular Malformations Diagnosis and Treatment (4 papers), Neurological Complications and Syndromes (4 papers), Toxic Organic Pollutants Impact (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Cerebrovascular and genetic disorders (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (141 citations), Neurology (144 citations), Geriatrics and Gerontology (35 citations), Rheumatology (128 citations) and Environmental Chemistry (82 citations). Junxia Yan has collaborated with scholars based in China, Japan and Macao. Frequent co-authors include Kouji H. Harada, Yukiko Fujii, Toshiaki Hitomi, Akio Koizumi, Xin Liao, Jing Deng, Akio Koizumi, Wanyang Liu, Wenjie Dai and Eric Ng. Their work appears in journals such as Chemosphere, BioMed Research International, Annals of Translational Medicine, Postgraduate Medical Journal and Environmental Health and Preventive Medicine.
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.