Robin Lee
Impact in
- Cancer Research top 10%
- NF-κB Signaling Pathways
- Aging top 10%
Papers in
-
- Single-cell and spatial transcriptomics 4
- Gene Regulatory Network Analysis 4
- Bioinformatics and Genomic Networks 3
- RNA Research and Splicing 2
-
- Immune Response and Inflammation 6
- T-cell and B-cell Immunology 5
- Co-authors
- Lynn A. Megeney (6 shared papers)Lawrence G. Puente (4 shared papers)Suzanne Gaudet (4 shared papers)David A. Frank (1 shared paper)Sarah R. Walker (1 shared paper)Steve Brunette (1 shared paper)James R. Faeder (4 shared papers)Mads Kærn (1 shared paper)
- Journals
- Scientific Reports (3 papers)Cell Reports (2 papers)Nature Communications (2 papers)Marketing Letters (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Robin Lee
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 167
- Aging 21
- Immunology 220
- Molecular Biology 602
- Water Science and Technology 123
Countries citing papers authored by Robin Lee
This map shows the geographic impact of Robin Lee'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 Robin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Lee more than expected).
Fields of papers citing papers by Robin Lee
This network shows the impact of papers produced by Robin Lee. 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 Robin Lee. The network helps show where Robin Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Lee, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 188 | |
| 2 | 2006 | 141 | |
| 3 | 2010 | 136 | |
| 4 | 2008 | 83 | |
| 5 | 1996 | 62 | |
| 6 | 2017 | 60 | |
| 7 | 2016 | 46 | |
| 8 | 2012 | 42 | |
| 9 | 2012 | 41 | |
| 10 | 2018 | 37 | |
| 11 | 2014 | 34 | |
| 12 | 2012 | 33 | |
| 13 | 2019 | 31 | |
| 14 | 2004 | 30 | |
| 15 | 2016 | 30 | |
| 16 | 2019 | 29 | |
| 17 | 2014 | 25 | |
| 18 | Age Specific Dioxin TEQ Reference Range | 2004 | 21 |
| 19 | 2006 | 20 | |
| 20 | 2020 | 18 |
About Robin Lee
Robin Lee is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Organic Chemistry, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (7 papers), Immune Response and Inflammation (6 papers), T-cell and B-cell Immunology (5 papers), Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (167 citations), Aging (21 citations), Immunology (220 citations), Molecular Biology (602 citations) and Water Science and Technology (123 citations). Robin Lee has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lynn A. Megeney, Lawrence G. Puente, Suzanne Gaudet, David A. Frank, Sarah R. Walker, Steve Brunette, James R. Faeder, Mads Kærn, Jennifer A. Jay and Christine Lee. Their work appears in journals such as Scientific Reports, Cell Reports, Nature Communications, Marketing Letters and Bioinformatics.
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.