Yi Lun
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
- Physiology 11
- Lysosomal Storage Disorders Research 11
-
- Glycosylation and Glycoproteins Research 4
- Biochemical and Molecular Research 2
- Co-authors
- Richie Khanna (12 shared papers)Kenneth J. Valenzano (12 shared papers)David J. Lockhart (10 shared papers)Rebecca Soska (10 shared papers)Jessie Feng (9 shared papers)Lee Pellegrino (6 shared papers)Michelle Frascella (8 shared papers)Elfrida R. Benjamin (4 shared papers)
- Journals
- Molecular Genetics and Metabolism (4 papers)Molecular Therapy (2 papers)PLoS ONE (2 papers)BMC Plant Biology (1 paper)FEBS Journal (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Yi Lun
17 papers receiving 613 citations
Peers
Comparison fields: 5 of 56
- Physiology 486
- Physiology 63
- Cell Biology 169
- Organic Chemistry 187
- Rheumatology 77
Countries citing papers authored by Yi Lun
This map shows the geographic impact of Yi Lun'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 Yi Lun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Lun more than expected).
Fields of papers citing papers by Yi Lun
This network shows the impact of papers produced by Yi Lun. 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 Yi Lun. The network helps show where Yi Lun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Lun, 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 | 2010 | 132 | |
| 2 | 2009 | 113 | |
| 3 | 2012 | 76 | |
| 4 | 2012 | 76 | |
| 5 | 2012 | 67 | |
| 6 | 2019 | 63 | |
| 7 | 2021 | 37 | |
| 8 | 2014 | 31 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 8 | |
| 12 | AMWFA Method Applied to Comparative Analysis of Two-dimensional Data with Overlapped Peaks | 2006 | 6 |
| 13 | Comparative Analysis of Volatile Constituents in Chenpi of Different Original Plants by GC-MS and AMWFA | 2006 | 6 |
| 14 | 2015 | 5 | |
| 15 | 2012 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2013 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2008 | 1 |
About Yi Lun
Yi Lun is a scholar working on Physiology, Molecular Biology, Epidemiology, Rheumatology and Organic Chemistry, having authored 19 papers that have together received 644 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (11 papers), Trypanosoma species research and implications (4 papers), Glycosylation and Glycoproteins Research (4 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Cellular transport and secretion (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Physiology (486 citations), Physiology (63 citations), Cell Biology (169 citations), Organic Chemistry (187 citations) and Rheumatology (77 citations). Yi Lun has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Richie Khanna, Kenneth J. Valenzano, David J. Lockhart, Rebecca Soska, Jessie Feng, Lee Pellegrino, Michelle Frascella, Elfrida R. Benjamin, Adriane Schilling and Nastry Brignol. Their work appears in journals such as Molecular Genetics and Metabolism, Molecular Therapy, PLoS ONE, BMC Plant Biology and FEBS Journal.
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.