Emma Lees
- Oncology top 0.2%
- Cancer-related Molecular Pathways 26
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 14
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics 10
- Ubiquitin and proteasome pathways 8
- RNA Research and Splicing 7
- DNA Repair Mechanisms 6
- Cancer Research top 1%
- Biotechnology top 0.5%
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- Environmental law and policy 6
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- Virus-based gene therapy research 5
- Co-authors
- Vjekoslav DulićShawna C. O. ReedDavid ParrySteven I. ReedE HarlowWolfgang SeghezziWilliam K. KaufmannJ. Wade Harper
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Emma Lees
70 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Oncology 4.9k
- Cell Biology 1.8k
- Molecular Biology 7.2k
- Cancer Research 1.1k
- Biotechnology 553
Countries citing papers authored by Emma Lees
This map shows the geographic impact of Emma Lees'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 Emma Lees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Lees more than expected).
Fields of papers citing papers by Emma Lees
This network shows the impact of papers produced by Emma Lees. 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 Emma Lees. The network helps show where Emma Lees may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emma Lees, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2019 | 29 | |
| 4 | 2018 | 18 | |
| 5 | 2014 | 78 | |
| 6 | 2013 | 17 | |
| 7 | 2010 | 434 | |
| 8 | SCH 727965, a novel cyclin-dependent kinase inhibitor, has potent anti-tumor acitivity in a wide-spectrum of human tumor xenograft models | 2008 | 1 |
| 9 | In vitro and in vivo characterization of SCH727965 a novel potent cyclin dependent kinase inhibitor | 2007 | 3 |
| 10 | 2007 | 46 | |
| 11 | 2003 | 137 | |
| 12 | 2003 | 138 | |
| 13 | 2000 | 57 | |
| 14 | 1999 | 140 | |
| 15 | 1999 | 2 | |
| 16 | 1998 | 245 | |
| 17 | 1998 | 203 | |
| 18 | A Human RNA-Polymerase-II Complex-Associated with SRB and DNA-Repair Proteins (Vol 381, Pg 86, 1996) | 1996 | 2 |
| 19 | 1996 | 95 | |
| 20 | 1996 | 174 |
About Emma Lees
Emma Lees is a scholar working on Oncology, Cell Biology and Law, having authored 73 papers that have together received 9.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (26 papers), Microtubule and mitosis dynamics (14 papers), Genomics and Chromatin Dynamics (10 papers), Ubiquitin and proteasome pathways (8 papers), RNA Research and Splicing (7 papers), DNA Repair Mechanisms (6 papers), Environmental law and policy (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Oncology (4.9k citations), Cell Biology (1.8k citations) and Molecular Biology (7.2k citations). Emma Lees has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Vjekoslav Dulić, Shawna C. O. Reed, David Parry, Steven I. Reed, E Harlow, Wolfgang Seghezzi, William K. Kaufmann, J. Wade Harper, Stephen J. Elledge and Barbara Faha. Their work appears in journals such as Molecular and Cellular Biology, Cancer Research, Nature, Oncogene and Bioorganic & Medicinal Chemistry Letters.
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.