Allegra A. Petti
- Immunology top 2%
- Immunotherapy and Immune Responses 4
- Aging top 5%
- Oncology top 5%
- Molecular Biology top 5%
- Fungal and yeast genetics research 6
- Single-cell and spatial transcriptomics 4
- vaccines and immunoinformatics approaches 4
- Epigenetics and DNA Methylation 3
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- Acute Myeloid Leukemia Research 6
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- Cancer Genomics and Diagnostics 4
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- Glioma Diagnosis and Treatment 3
- Co-authors
- Elaine R. MardisJasreet HundalBeatriz M. CarrenoGerald P. LinetteWen‐Rong LieVincent MagriniSaghar KaabinejadianMichelle Becker‐Hapak
- Partner nations
- United StatesItalyGermany
In The Last Decade
Allegra A. Petti
30 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Endocrine and Autonomic Systems 393
- Immunology 1.2k
- Aging 71
- Oncology 942
- Molecular Biology 1.7k
Countries citing papers authored by Allegra A. Petti
This map shows the geographic impact of Allegra A. Petti'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 Allegra A. Petti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allegra A. Petti more than expected).
Fields of papers citing papers by Allegra A. Petti
This network shows the impact of papers produced by Allegra A. Petti. 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 Allegra A. Petti. The network helps show where Allegra A. Petti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Allegra A. Petti, 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 | 2024 | 25 | |
| 2 | 2023 | 62 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 52 | |
| 6 | 2021 | 40 | |
| 7 | 2019 | 126 | |
| 8 | 2018 | 77 | |
| 9 | 2017 | 68 | |
| 10 | RNA splicing is a primary link between genetic variation and diseasebreakdown → | 2016 | 382 |
| 11 | 2016 | 267 | |
| 12 | A dendritic cell vaccine increases the breadth and diversity of melanoma neoantigen-specific T cellsbreakdown → | 2015 | 997 |
| 13 | 2013 | 14 | |
| 14 | 2012 | 31 | |
| 15 | 2012 | 36 | |
| 16 | 2011 | 40 | |
| 17 | 2011 | 89 | |
| 18 | 2010 | 69 | |
| 19 | 2005 | 25 | |
| 20 | 2002 | 165 |
About Allegra A. Petti
Allegra A. Petti is a scholar working on Hematology, Immunology and Molecular Biology, having authored 30 papers that have together received 3.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Fungal and yeast genetics research (6 papers), Single-cell and spatial transcriptomics (4 papers), vaccines and immunoinformatics approaches (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Genomics and Diagnostics (4 papers), Glioma Diagnosis and Treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (393 citations), Immunology (1.2k citations) and Aging (71 citations). Allegra A. Petti has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Elaine R. Mardis, Jasreet Hundal, Beatriz M. Carreno, Gerald P. Linette, Wen‐Rong Lie, Vincent Magrini, Saghar Kaabinejadian, Michelle Becker‐Hapak, William H. Hildebrand and Amy Ly. Their work appears in journals such as Molecular Biology of the Cell, Nature Communications, Science, Proceedings of the National Academy of Sciences and Blood.
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.