Cristina Lewis
- Hepatology top 5%
- Hepatitis C virus research 5
- Molecular Biology top 10%
- Biochemical and Molecular Research 6
- Signaling Pathways in Disease 4
- Oncology top 10%
- Cancer-related Molecular Pathways 5
- Peptidase Inhibition and Analysis 3
- Cell Biology top 10%
- Microtubule and mitosis dynamics 3
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment 5
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Hans E. PargeLaura A. PelletierJ. Ernest VillafrancaRichard E. ShowalterVincent J. KalishDaniel R. KnightonCharles R. KissingerKathleen D. Tucker
- Cited by
- HepatologyMolecular BiologyOncology
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Cristina Lewis
26 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Hepatology 190
- Molecular Biology 935
- Oncology 319
- Cell Biology 157
- Infectious Diseases 169
Countries citing papers authored by Cristina Lewis
This map shows the geographic impact of Cristina Lewis'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 Cristina Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Lewis more than expected).
Fields of papers citing papers by Cristina Lewis
This network shows the impact of papers produced by Cristina Lewis. 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 Cristina Lewis. The network helps show where Cristina Lewis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cristina Lewis, 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 | 2016 | 76 | |
| 2 | 2013 | 25 | |
| 3 | 2012 | 5 | |
| 4 | 2011 | 7 | |
| 5 | 2009 | 93 | |
| 6 | 2007 | 104 | |
| 7 | Clinical poly(ADP-ribose) polymerase inhibitors for the treatment of cancer. | 2007 | 14 |
| 8 | 2007 | 37 | |
| 9 | 2007 | 39 | |
| 10 | 2006 | 44 | |
| 11 | AG-024322 is a potent and selective multi-targeted CDK inhibitor with broad spectrum anti-proliferative activity | 2005 | 8 |
| 12 | 2003 | 1 | |
| 13 | 1996 | 49 | |
| 14 | 1996 | 8 | |
| 15 | 1996 | 1 | |
| 16 | Crystal structures of human calcineurin and the human FKBP12–FK506–calcineurin complexbreakdown → | 1995 | 630 |
| 17 | 1994 | 18 | |
| 18 | 1991 | 54 | |
| 19 | 1989 | 23 | |
| 20 | 1989 | 51 |
About Cristina Lewis
Cristina Lewis is a scholar working on Hepatology, Oncology and Cell Biology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (6 papers), Cancer-related Molecular Pathways (5 papers), Hepatitis C virus research (5 papers), HIV/AIDS drug development and treatment (5 papers), Signaling Pathways in Disease (4 papers), Microtubule and mitosis dynamics (3 papers), Peptidase Inhibition and Analysis (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Hepatology (190 citations), Molecular Biology (935 citations) and Oncology (319 citations). Cristina Lewis has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Hans E. Parge, Laura A. Pelletier, J. Ernest Villafranca, Richard E. Showalter, Vincent J. Kalish, Daniel R. Knighton, Charles R. Kissinger, Kathleen D. Tucker, Ellen W. Moomaw and Noriyuki Habuka.
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.