Laura M Palermo
- Epidemiology top 5%
- Infectious Diseases top 2%
- Molecular Biology
- Genetics top 5%
- Animal Science and Zoology top 2%
- Co-authors
- Matteo PorottoAnne MosconaColin R. ParrishSusan HafensteinSamantha G. PalmerChristine C. YokoyamaKarsten HuefferFeng‐Xia Liang
- Topics
- Virology and Viral Diseases (15 papers)Respiratory viral infections research (12 papers)Virus-based gene therapy research (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Cell Biology
- Partner nations
- United StatesItalyPortugal
In The Last Decade
Laura M Palermo
24 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Epidemiology 641
- Infectious Diseases 556
- Molecular Biology 372
- Genetics 369
- Animal Science and Zoology 278
Countries citing papers authored by Laura M Palermo
This map shows the geographic impact of Laura M Palermo'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 M Palermo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura M Palermo more than expected).
Fields of papers citing papers by Laura M Palermo
This network shows the impact of papers produced by Laura M Palermo. 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 M Palermo. The network helps show where Laura M Palermo may publish in the future.
Co-authorship network of co-authors of Laura M Palermo
This figure shows the co-authorship network connecting the top 25 collaborators of Laura M Palermo. A scholar is included among the top collaborators of Laura M Palermo 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 Laura M Palermo. Laura M Palermo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | A three-dimensional model of human lung development and disease from pluripotent stem cellsbreakdown → | 441 |
| 3 | 18 | |
| 4 | 38 | |
| 5 | 21 | |
| 6 | 16 | |
| 7 | 35 | |
| 8 | 38 | |
| 9 | 32 | |
| 10 | 61 | |
| 11 | 106 | |
| 12 | 81 | |
| 13 | 65 | |
| 14 | 71 | |
| 15 | 51 | |
| 16 | 36 | |
| 17 | 81 | |
| 18 | 15 | |
| 19 | 56 | |
| 20 | 14 |
About Laura M Palermo
Laura M Palermo is a scholar working on Virology, Animal Science and Zoology and Infectious Diseases, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virology and Viral Diseases (15 papers), Respiratory viral infections research (12 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Infectious Diseases (556 citations), Animal Science and Zoology (278 citations) and Epidemiology (641 citations). Laura M Palermo has collaborated with scholars based in United States, Italy and Portugal. Frequent co-authors include Matteo Porotto, Anne Moscona, Colin R. Parrish, Susan Hafenstein, Samantha G. Palmer, Christine C. Yokoyama, Karsten Hueffer, Feng‐Xia Liang, Jahar Bhattacharya and Hans‐Willem Snoeck. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Cell Biology.
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.