John T. Poirier
- Oncology top 0.5%
- Lung Cancer Research Studies 30
- Peptidase Inhibition and Analysis 7
- PARP inhibition in cancer therapy 7
- Epidemiology top 1%
- Neuroendocrine Tumor Research Advances 14
- Cancer Research top 2%
- Molecular Biology top 2%
- Cancer therapeutics and mechanisms 8
- CRISPR and Genetic Engineering 8
- Neurology top 2%
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- Virus-based gene therapy research 9
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- Lung Cancer Treatments and Mutations 9
- Co-authors
- Charles M. RudinBenjamin H. LokElisa de StanchinaNatasha RekhtmanEric E. GardnerJ. LairdJoshua K. SabariAfshin Dowlati
- Cited by
- OncologyEpidemiologyCancer Research
- Partner nations
- United StatesGermanyCanada
In The Last Decade
John T. Poirier
83 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Oncology 3.5k
- Epidemiology 1.9k
- Cancer Research 754
- Molecular Biology 3.1k
- Neurology 543
Countries citing papers authored by John T. Poirier
This map shows the geographic impact of John T. Poirier'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 John T. Poirier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Poirier more than expected).
Fields of papers citing papers by John T. Poirier
This network shows the impact of papers produced by John T. Poirier. 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 John T. Poirier. The network helps show where John T. Poirier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John T. Poirier, 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 | 2022 | 9 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 12 | |
| 4 | Regenerative lineages and immune-mediated pruning in lung cancer metastasisbreakdown → | 2020 | 251 |
| 5 | 2020 | 46 | |
| 6 | 2020 | 108 | |
| 7 | 2019 | 41 | |
| 8 | 2019 | 154 | |
| 9 | 2019 | 37 | |
| 10 | 2018 | 55 | |
| 11 | 2018 | 81 | |
| 12 | 2018 | 268 | |
| 13 | 2017 | 33 | |
| 14 | 2017 | 347 | |
| 15 | 2016 | 261 | |
| 16 | Next-Generation Sequencing of Pulmonary Large Cell Neuroendocrine Carcinoma Reveals Small Cell Carcinoma–like and Non–Small Cell Carcinoma–like Subsetsbreakdown → | 2016 | 325 |
| 17 | 2016 | 53 | |
| 18 | 2014 | 45 | |
| 19 | 2011 | 128 | |
| 20 | 2009 | 66 |
About John T. Poirier
John T. Poirier is a scholar working on Oncology, Animal Science and Zoology and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 6.9k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (30 papers), Neuroendocrine Tumor Research Advances (14 papers), Virus-based gene therapy research (9 papers), Lung Cancer Treatments and Mutations (9 papers), Cancer therapeutics and mechanisms (8 papers), CRISPR and Genetic Engineering (8 papers), Peptidase Inhibition and Analysis (7 papers) and PARP inhibition in cancer therapy (7 papers). The work is most often cited by research in Oncology (3.5k citations), Epidemiology (1.9k citations) and Cancer Research (754 citations). John T. Poirier has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Charles M. Rudin, Benjamin H. Lok, Elisa de Stanchina, Natasha Rekhtman, Eric E. Gardner, J. Laird, Joshua K. Sabari, Afshin Dowlati, Julien Sage and Pierre P. Massion. Their work appears in journals such as Nature, Science and 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.