Laura Neely
Impact in
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- Heat shock proteins research
- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- Chemical Synthesis and Analysis
- ATP Synthase and ATPases Research
Papers in
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- Computational Drug Discovery Methods 3
- Co-authors
- Joel GottesfeldJohn W. TraugerPeter B. DervanEldon E. BairdKaren LundgrenFrancis BurrowsHong ZhangRachel Lough
- Journals
- Molecular Cancer Therapeutics (2 papers)Journal of Molecular Biology (2 papers)Biomarkers (1 paper)International Journal of Cancer (1 paper)Nature (1 paper)
- Partner nations
- United States
In The Last Decade
Laura Neely
9 papers receiving 728 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 646
- Physical and Theoretical Chemistry 39
- Immunology 76
- Toxicology 12
- Computational Theory and Mathematics 54
Countries citing papers authored by Laura Neely
This map shows the geographic impact of Laura Neely'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 Laura Neely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Neely more than expected).
Fields of papers citing papers by Laura Neely
This network shows the impact of papers produced by Laura Neely. 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 Laura Neely. The network helps show where Laura Neely may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Neely, 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 | 2010 | 49 | |
| 2 | 2009 | 62 | |
| 3 | 2009 | 140 | |
| 4 | BIIB021 is a small molecule inhibitor of the heat shock protein, Hsp90, that shows potent anti-tumor activity in preclinical models | 2007 | 3 |
| 5 | Synthetic Hsp90 inhibitors are active against 17-AAG-resistant tumor lines | 2007 | 1 |
| 6 | 2006 | 52 | |
| 7 | 1999 | 15 | |
| 8 | 1997 | 28 | |
| 9 | 1997 | 400 |
About Laura Neely
Laura Neely is a scholar working on Computational Theory and Mathematics, Rehabilitation, Molecular Biology, Physical and Theoretical Chemistry and Immunology, having authored 9 papers that have together received 750 indexed citations. Recurring topics across this work include Heat shock proteins research (6 papers), RNA and protein synthesis mechanisms (3 papers), Computational Drug Discovery Methods (3 papers), RNA Research and Splicing (2 papers), Toxin Mechanisms and Immunotoxins (1 paper), Hepatitis B Virus Studies (1 paper), Protein Structure and Dynamics (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Molecular Biology (646 citations), Physical and Theoretical Chemistry (39 citations), Immunology (76 citations), Toxicology (12 citations) and Computational Theory and Mathematics (54 citations). Laura Neely has collaborated with scholars based in United States. Frequent co-authors include Joel Gottesfeld, John W. Trauger, Peter B. Dervan, Eldon E. Baird, Karen Lundgren, Francis Burrows, Hong Zhang, Rachel Lough, Adeela Kamal and Kevin Hong. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Molecular Biology, Biomarkers, International Journal of Cancer and Nature.
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.