Robert Lucito
- Genetics top 0.5%
- Genomic variations and chromosomal abnormalities 8
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 10
- Molecular Biology top 2%
- Epigenetics and DNA Methylation 7
- RNA modifications and cancer 6
- Gene expression and cancer classification 4
- Genomics and Chromatin Dynamics 4
- RNA Interference and Gene Delivery 3
- Cell Biology top 2%
- Hepatology top 5%
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- Chromosomal and Genetic Variations 6
- Co-authors
- Michael WiglerRobert J. SchneiderJohn HealyScott PowersJoan AlexanderJonathan SebatKenny YeAndrew H. Reiner
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Cancer Biology & Therapy (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Robert Lucito
39 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Genetics 2.0k
- Cancer Research 781
- Molecular Biology 2.8k
- Cell Biology 624
- Hepatology 256
Countries citing papers authored by Robert Lucito
This map shows the geographic impact of Robert Lucito'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 Lucito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Lucito more than expected).
Fields of papers citing papers by Robert Lucito
This network shows the impact of papers produced by Robert Lucito. 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 Lucito. The network helps show where Robert Lucito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Lucito, 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 | 2021 | 8 | |
| 2 | 2018 | 23 | |
| 3 | 2016 | 1 | |
| 4 | 2015 | 12 | |
| 5 | 2015 | 1 | |
| 6 | 2013 | 4 | |
| 7 | 2013 | 44 | |
| 8 | 2011 | 78 | |
| 9 | 2009 | 12 | |
| 10 | 2008 | 147 | |
| 11 | 2008 | 59 | |
| 12 | 2008 | 105 | |
| 13 | 2008 | 7 | |
| 14 | 2008 | 51 | |
| 15 | 2007 | 31 | |
| 16 | 2006 | 9 | |
| 17 | 2006 | 75 | |
| 18 | Identification and Validation of Oncogenes in Liver Cancer Using an Integrative Oncogenomic Approachbreakdown → | 2006 | 861 |
| 19 | 2004 | 122 | |
| 20 | 2003 | 309 |
About Robert Lucito
Robert Lucito is a scholar working on Cancer Research, Family Practice, Genetics, Molecular Biology and Hepatology, having authored 39 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Genomic variations and chromosomal abnormalities (8 papers), Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (6 papers), Chromosomal and Genetic Variations (6 papers), Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Genetics (2.0k citations), Cancer Research (781 citations), Molecular Biology (2.8k citations), Cell Biology (624 citations) and Hepatology (256 citations). Robert Lucito has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Michael Wigler, Robert J. Schneider, John Healy, Scott Powers, Joan Alexander, Jonathan Sebat, Kenny Ye, Andrew H. Reiner, Jennifer Troge and Gregory J. Hannon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Biology & Therapy, Clinical Cancer Research, Journal of Virology and PLoS Genetics.
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.