Melissa Lu
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Connexins and lens biology 1
- Melanoma and MAPK Pathways 1
- Inflammasome and immune disorders 1
- Retinal Development and Disorders 1
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- Multiple Sclerosis Research Studies 1
- Co-authors
- Ji Woong Choi (1 shared paper)Deron R. Herr (1 shared paper)Chang‐Wook Lee (1 shared paper)Yun C. Yung (1 shared paper)Jerold Chun (1 shared paper)Kyoko Noguchi (1 shared paper)Grace Kennedy (1 shared paper)Richard Rivera (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Experimental Eye Research (1 paper)Documenta Ophthalmologica (1 paper)Scientific Reports (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Melissa Lu
5 papers receiving 531 citations
Melissa Lu's Hit Papers
Peers
Comparison fields: 5 of 53
- Neurology 146
- Developmental Neuroscience 40
- Pathology and Forensic Medicine 126
- Molecular Biology 398
- Cell Biology 74
Countries citing papers authored by Melissa Lu
This map shows the geographic impact of Melissa Lu'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 Melissa Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Lu more than expected).
Fields of papers citing papers by Melissa Lu
This network shows the impact of papers produced by Melissa Lu. 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 Melissa Lu. The network helps show where Melissa Lu may publish in the future.
Co-authors
The 23 scholars most cited alongside Melissa Lu, 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 | FTY720 (fingolimod) efficacy in an animal model of multiple sclerosis requires astrocyte sphingosine 1-phosphate receptor 1 (S1P 1 ) modulation Hit paper breakdown → | 2010 | 501 |
| 2 | 2022 | 26 | |
| 3 | 2022 | 5 | |
| 4 | 2025 | 1 | |
| 5 | 2022 | 1 |
About Melissa Lu
Melissa Lu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Ophthalmology and Oncology, having authored 5 papers that have together received 534 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (1 paper), Connexins and lens biology (1 paper), Multiple Sclerosis Research Studies (1 paper), Melanoma and MAPK Pathways (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Blood groups and transfusion (1 paper), Inflammasome and immune disorders (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Neurology (146 citations), Developmental Neuroscience (40 citations), Pathology and Forensic Medicine (126 citations), Molecular Biology (398 citations) and Cell Biology (74 citations). Melissa Lu has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Ji Woong Choi, Deron R. Herr, Chang‐Wook Lee, Yun C. Yung, Jerold Chun, Kyoko Noguchi, Grace Kennedy, Richard Rivera, Miguel N. Burnier and Mohamed Abdouh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Experimental Eye Research, Documenta Ophthalmologica, Scientific Reports and DOAJ (DOAJ: Directory of Open Access Journals).
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.