Leanne Lanieri
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
-
- Monoclonal and Polyclonal Antibodies Research
- Radiopharmaceutical Chemistry and Applications
Papers in
- Oncology 13
- HER2/EGFR in Cancer Research 10
- CAR-T cell therapy research 5
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- Monoclonal and Polyclonal Antibodies Research 11
- Co-authors
- Jose F. Ponte (7 shared papers)Jan Pinkas (3 shared papers)Jennifer A. Coccia (4 shared papers)Olga Ab (4 shared papers)Laura M. Bartle (2 shared papers)Rodrigo Ruiz‐Soto (1 shared paper)Yinghui Zhou (1 shared paper)Ravi V. J. Chari (4 shared papers)
- Journals
- Blood (7 papers)Bioconjugate Chemistry (3 papers)Molecular Cancer Therapeutics (3 papers)Neoplasia (2 papers)Cell stem cell (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Leanne Lanieri
23 papers receiving 799 citations
Peers
Comparison fields: 5 of 70
- Oncology 473
- Radiology, Nuclear Medicine and Imaging 362
- Molecular Medicine 26
- Genetics 49
- Immunology 81
Countries citing papers authored by Leanne Lanieri
This map shows the geographic impact of Leanne Lanieri'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 Leanne Lanieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leanne Lanieri more than expected).
Fields of papers citing papers by Leanne Lanieri
This network shows the impact of papers produced by Leanne Lanieri. 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 Leanne Lanieri. The network helps show where Leanne Lanieri may publish in the future.
Co-authors
The 25 scholars most cited alongside Leanne Lanieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 224 | |
| 2 | 2016 | 102 | |
| 3 | 2011 | 82 | |
| 4 | 2016 | 70 | |
| 5 | 2018 | 51 | |
| 6 | 2017 | 42 | |
| 7 | 2022 | 36 | |
| 8 | 2023 | 36 | |
| 9 | 2015 | 34 | |
| 10 | 2016 | 33 | |
| 11 | 2017 | 32 | |
| 12 | 2020 | 32 | |
| 13 | 2019 | 21 | |
| 14 | 2024 | 14 | |
| 15 | 2024 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2015 | 3 | |
| 20 | 2014 | 3 |
About Leanne Lanieri
Leanne Lanieri is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Hematology, Immunology and Genetics, having authored 24 papers that have together received 849 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), HER2/EGFR in Cancer Research (10 papers), CAR-T cell therapy research (5 papers), RNA Interference and Gene Delivery (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Virus-based gene therapy research (2 papers) and Nanofabrication and Lithography Techniques (2 papers). The work is most often cited by research in Oncology (473 citations), Radiology, Nuclear Medicine and Imaging (362 citations), Molecular Medicine (26 citations), Genetics (49 citations) and Immunology (81 citations). Leanne Lanieri has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jose F. Ponte, Jan Pinkas, Jennifer A. Coccia, Olga Ab, Laura M. Bartle, Rodrigo Ruiz‐Soto, Yinghui Zhou, Ravi V. J. Chari, Thomas A. Keating and Rassol Laleau. Their work appears in journals such as Blood, Bioconjugate Chemistry, Molecular Cancer Therapeutics, Neoplasia and Cell stem cell.
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.