Natalie A. Lissy
Impact in
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
- Virology top 5%
Papers in
-
- RNA Interference and Gene Delivery 4
- CRISPR and Genetic Engineering 2
- Protein Degradation and Inhibitors 1
- Renal and related cancers 1
- Oncology 2
- Cancer-related Molecular Pathways 1
- Co-authors
- Steven F. Dowdy (5 shared papers)Michelle Becker‐Hapak (2 shared papers)Eric L. Snyder (1 shared paper)Hikaru Nagahara (1 shared paper)Sergei A. Ezhevsky (1 shared paper)Alan L. Ho (1 shared paper)William G. Kaelin (1 shared paper)Meredith S. Irwin (1 shared paper)
- Journals
- Nature Medicine (2 papers)Immunity (1 paper)Nature (1 paper)Analytical Biochemistry (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United States
In The Last Decade
Natalie A. Lissy
9 papers receiving 1.6k citations
Natalie A. Lissy's Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 1.3k
- Virology 84
- Oncology 397
- Immunology 298
- Genetics 329
Countries citing papers authored by Natalie A. Lissy
This map shows the geographic impact of Natalie A. Lissy'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 Natalie A. Lissy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie A. Lissy more than expected).
Fields of papers citing papers by Natalie A. Lissy
This network shows the impact of papers produced by Natalie A. Lissy. 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 Natalie A. Lissy. The network helps show where Natalie A. Lissy may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalie A. Lissy, 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 | Transduction of full-length TAT fusion proteins into mammalian cells: TAT-p27Kip1 induces cell migration Hit paper breakdown → | 1998 | 819 |
| 2 | 2000 | 279 | |
| 3 | 1999 | 189 | |
| 4 | 1997 | 112 | |
| 5 | 1998 | 105 | |
| 6 | 2000 | 72 | |
| 7 | 1996 | 9 | |
| 8 | 1996 | 4 | |
| 9 | Patentability of Chemical and Biotechnology Inventions: A Discrepancy in Standards | 2003 | 1 |
About Natalie A. Lissy
Natalie A. Lissy is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Virology, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), CRISPR and Genetic Engineering (2 papers), Immune Cell Function and Interaction (2 papers), HIV Research and Treatment (1 paper), Protein Degradation and Inhibitors (1 paper), Cancer-related Molecular Pathways (1 paper), Bacteriophages and microbial interactions (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Virology (84 citations), Oncology (397 citations), Immunology (298 citations) and Genetics (329 citations). Natalie A. Lissy has collaborated with scholars based in United States. Frequent co-authors include Steven F. Dowdy, Michelle Becker‐Hapak, Eric L. Snyder, Hikaru Nagahara, Sergei A. Ezhevsky, Alan L. Ho, William G. Kaelin, Meredith S. Irwin, Penny K. Davis and Nancy Vander Heyden. Their work appears in journals such as Nature Medicine, Immunity, Nature, Analytical Biochemistry and Methods in enzymology on CD-ROM/Methods in enzymology.
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.