Christopher Leo
Impact in
- Genetics top 5%
- Estrogen and related hormone effects
- Genomic variations and chromosomal abnormalities
- Molecular Biology top 10%
- Retinoids in leukemia and cellular processes
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
Papers in
-
- Retinoids in leukemia and cellular processes 5
- Glycosylation and Glycoproteins Research 1
- Genetics 8
- Estrogen and related hormone effects 4
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- J. Don Chen (5 shared papers)Jennifer O’Neil (1 shared paper)Hui Li (1 shared paper)Jiang Zhu (1 shared paper)Eunju Park (1 shared paper)Xiaoyang Wu (1 shared paper)Lynda Chin (4 shared papers)Cameron Brennan (4 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Gene (1 paper)Molecular Endocrinology (1 paper)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Christopher Leo
11 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Genetics 554
- Molecular Biology 886
- Cancer Research 167
- Oncology 223
- Immunology 149
Countries citing papers authored by Christopher Leo
This map shows the geographic impact of Christopher Leo'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 Christopher Leo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Leo more than expected).
Fields of papers citing papers by Christopher Leo
This network shows the impact of papers produced by Christopher Leo. 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 Christopher Leo. The network helps show where Christopher Leo may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Leo, 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 | 2000 | 420 | |
| 2 | 2000 | 305 | |
| 3 | 2004 | 209 | |
| 4 | 2004 | 101 | |
| 5 | 1997 | 98 | |
| 6 | 2004 | 75 | |
| 7 | 2006 | 46 | |
| 8 | 2000 | 26 | |
| 9 | 1998 | 19 | |
| 10 | 2001 | 11 | |
| 11 | 2004 | 5 |
About Christopher Leo
Christopher Leo is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cancer Research and Hematology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (5 papers), Estrogen and related hormone effects (4 papers), Nuclear Receptors and Signaling (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer Genomics and Diagnostics (2 papers), Acute Myeloid Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Genetics (554 citations), Molecular Biology (886 citations), Cancer Research (167 citations), Oncology (223 citations) and Immunology (149 citations). Christopher Leo has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include J. Don Chen, Jennifer O’Neil, Hui Li, Jiang Zhu, Eunju Park, Xiaoyang Wu, Lynda Chin, Cameron Brennan, Hui Li and Andrew J. Aguirre. Their work appears in journals such as Journal of Biological Chemistry, Gene, Molecular Endocrinology, Blood and Proceedings of the National Academy of Sciences.
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.