Lisa Gangi
- Molecular Biology
- Reproductive Medicine top 2%
- Oncology top 10%
- Cancer Research top 10%
- Immunology
- Co-authors
- J. Carl BarrettEdison T. LiuKristin K. ZornJeff BoydGadisetti V.R. ChandramouliChristopher S. AwtreyGinger J. GardnerTomás Bonome
- Topics
- RNA Interference and Gene Delivery (4 papers)RNA regulation and disease (3 papers)Molecular Biology Techniques and Applications (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Genetics
- Partner nations
- United StatesChileBulgaria
In The Last Decade
Lisa Gangi
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 671
- Reproductive Medicine 275
- Oncology 250
- Cancer Research 242
- Immunology 163
Countries citing papers authored by Lisa Gangi
This map shows the geographic impact of Lisa Gangi'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 Lisa Gangi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Gangi more than expected).
Fields of papers citing papers by Lisa Gangi
This network shows the impact of papers produced by Lisa Gangi. 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 Lisa Gangi. The network helps show where Lisa Gangi may publish in the future.
Co-authorship network of co-authors of Lisa Gangi
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Gangi. A scholar is included among the top collaborators of Lisa Gangi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa Gangi. Lisa Gangi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 83 | |
| 2 | 5 | |
| 3 | 282 | |
| 4 | 20 | |
| 5 | 41 | |
| 6 | 79 | |
| 7 | 39 | |
| 8 | 59 | |
| 9 | 7 | |
| 10 | 64 | |
| 11 | The feasibility of using fine needle aspiration from primary breast cancers for cDNA microarray analyses. | 68 |
| 12 | 152 | |
| 13 | 83 | |
| 14 | 2 | |
| 15 | Molecular profiling of transformed and metastatic murine squamous carcinoma cells by differential display and cDNA microarray reveals altered expression of multiple genes related to growth, apoptosis, angiogenesis, and the NF-kappaB signal pathway. | 110 |
About Lisa Gangi
Lisa Gangi is a scholar working on Cancer Research, Reproductive Medicine and Immunology and Allergy, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), RNA regulation and disease (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Reproductive Medicine (275 citations), Cancer Research (242 citations) and Obstetrics and Gynecology (116 citations). Lisa Gangi has collaborated with scholars based in United States, Chile and Bulgaria. Frequent co-authors include J. Carl Barrett, Edison T. Liu, Kristin K. Zorn, Jeff Boyd, Gadisetti V.R. Chandramouli, Christopher S. Awtrey, Ginger J. Gardner, Tomás Bonome, Michael J. Birrer and Ze’ev A. Ronai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Genetics.
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.