Robert Yu
Impact in
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- Glycosylation and Glycoproteins Research
- Lipid Membrane Structure and Behavior
- Sphingolipid Metabolism and Signaling
Papers in
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- Glycosylation and Glycoproteins Research 13
- Lipid Membrane Structure and Behavior 4
- Genetics 16
- Genetic Associations and Epidemiology 7
- Co-authors
- Sanjay Shete (48 shared papers)Dmitri Kapitonov (1 shared paper)Onyema Greg Chido‐Amajuoyi (8 shared papers)Jian Wang (7 shared papers)J.N. Scarsdale (1 shared paper)James H. Prestegard (1 shared paper)Mark Edwards (3 shared papers)Fiona Murray (3 shared papers)
- Journals
- Journal of Neurochemistry (4 papers)BMC Genetics (3 papers)Scientific Reports (3 papers)JAMA Network Open (3 papers)Human Vaccines & Immunotherapeutics (3 papers)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Robert Yu
71 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 666
- Developmental Neuroscience 32
- Cell Biology 122
- Otorhinolaryngology 29
- Genetics 184
Countries citing papers authored by Robert Yu
This map shows the geographic impact of Robert Yu'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 Robert Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Yu more than expected).
Fields of papers citing papers by Robert Yu
This network shows the impact of papers produced by Robert Yu. 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 Robert Yu. The network helps show where Robert Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Yu, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 131 | |
| 2 | 1990 | 74 | |
| 3 | 2020 | 53 | |
| 4 | Adenoviral Bak overexpression mediates caspase-dependent tumor killing. | 2000 | 52 |
| 5 | 2000 | 51 | |
| 6 | 2007 | 49 | |
| 7 | 2003 | 48 | |
| 8 | 2021 | 47 | |
| 9 | 2014 | 47 | |
| 10 | 2008 | 43 | |
| 11 | 2013 | 42 | |
| 12 | 2001 | 38 | |
| 13 | 2020 | 37 | |
| 14 | 1995 | 36 | |
| 15 | 1994 | 35 | |
| 16 | 2010 | 35 | |
| 17 | 2009 | 33 | |
| 18 | 1994 | 32 | |
| 19 | 1990 | 31 | |
| 20 | 1994 | 30 |
About Robert Yu
Robert Yu is a scholar working on Molecular Biology, Genetics, Physiology, Epidemiology and Oncology, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Cervical Cancer and HPV Research (8 papers), Genetic Associations and Epidemiology (7 papers), Smoking Behavior and Cessation (6 papers), Lipid Membrane Structure and Behavior (4 papers), Hepatitis B Virus Studies (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Molecular Biology (666 citations), Developmental Neuroscience (32 citations), Cell Biology (122 citations), Otorhinolaryngology (29 citations) and Genetics (184 citations). Robert Yu has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Sanjay Shete, Dmitri Kapitonov, Onyema Greg Chido‐Amajuoyi, Jian Wang, J.N. Scarsdale, James H. Prestegard, Mark Edwards, Fiona Murray, Christopher I. Amos and Sonia Cunningham. Their work appears in journals such as Journal of Neurochemistry, BMC Genetics, Scientific Reports, JAMA Network Open and Human Vaccines & Immunotherapeutics.
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.