Winnie Xin
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 5
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 4
- Genomics and Rare Diseases 2
- Cell Biology top 5%
- Cellular transport and secretion 6
- Physiology top 10%
- Lysosomal Storage Disorders Research 13
- Calcium signaling and nucleotide metabolism 4
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research 5
-
- Mitochondrial Function and Pathology 3
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Katherine B. SimsMichael FeissHiroko KishikawaDavid M. WuRobert H. BrownYiping ShenA. John IafrateRebecca D. Folkerth
- Cited by
- NeurologyGeneticsCell Biology
- Journals
- Molecular Genetics and Metabolism (3 papers)Journal of Molecular Biology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesArgentinaSweden
In The Last Decade
Winnie Xin
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Neurology 430
- Genetics 233
- Cell Biology 235
- Physiology 348
- Neurology 107
Countries citing papers authored by Winnie Xin
This map shows the geographic impact of Winnie Xin'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 Winnie Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Winnie Xin more than expected).
Fields of papers citing papers by Winnie Xin
This network shows the impact of papers produced by Winnie Xin. 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 Winnie Xin. The network helps show where Winnie Xin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Winnie Xin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2017 | 33 | |
| 3 | 2017 | 39 | |
| 4 | 2016 | 67 | |
| 5 | 2015 | 18 | |
| 6 | 2015 | 13 | |
| 7 | 2015 | 12 | |
| 8 | 2012 | 7 | |
| 9 | 2012 | 34 | |
| 10 | 2012 | 45 | |
| 11 | 2012 | 84 | |
| 12 | 2012 | 14 | |
| 13 | 2012 | 47 | |
| 14 | 2006 | 75 | |
| 15 | 2003 | 215 | |
| 16 | 2003 | 11 | |
| 17 | Rat LCR1: cloning and cellular distribution of a putative chemokine receptor in brain. | 1996 | 35 |
| 18 | 1993 | 24 | |
| 19 | 1993 | 36 | |
| 20 | 1993 | 2 |
About Winnie Xin
Winnie Xin is a scholar working on Physiology, Physiology, Genetics, Neurology and Cell Biology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (13 papers), Cellular transport and secretion (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Mitochondrial Function and Pathology (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Neurology (430 citations), Genetics (233 citations), Cell Biology (235 citations), Physiology (348 citations) and Neurology (107 citations). Winnie Xin has collaborated with scholars based in United States, Argentina and Sweden. Frequent co-authors include Katherine B. Sims, Michael Feiss, Hiroko Kishikawa, David M. Wu, Robert H. Brown, Yiping Shen, A. John Iafrate, Rebecca D. Folkerth, Wenhao Yu and John F. Staropoli. Their work appears in journals such as Molecular Genetics and Metabolism, Journal of Molecular Biology, PLoS ONE, Annals of Neurology and Gene.
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.