Paul Baverel
Impact in
-
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
- Oncology 13
- Cancer Immunotherapy and Biomarkers 9
- Peptidase Inhibition and Analysis 4
- Pancreatic and Hepatic Oncology Research 3
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- Lorin Roskos (8 shared papers)Rajesh Narwal (6 shared papers)Pralay Mukhopadhyay (4 shared papers)Yong Ben (4 shared papers)Ashok Gupta (4 shared papers)John A. Smith (1 shared paper)Piet H. van der Graaf (1 shared paper)Ashley Woodcock (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)CPT Pharmacometrics & Systems Pharmacology (3 papers)Journal of Pharmacokinetics and Pharmacodynamics (3 papers)Clinical Pharmacology & Therapeutics (3 papers)Blood (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Paul Baverel
27 papers receiving 455 citations
Peers
Comparison fields: 5 of 59
- Oncology 175
- Statistics and Probability 47
- Pulmonary and Respiratory Medicine 116
- Health Informatics 5
- Sensory Systems 17
Countries citing papers authored by Paul Baverel
This map shows the geographic impact of Paul Baverel'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 Paul Baverel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Baverel more than expected).
Fields of papers citing papers by Paul Baverel
This network shows the impact of papers produced by Paul Baverel. 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 Paul Baverel. The network helps show where Paul Baverel may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Baverel, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 114 | |
| 2 | 2013 | 70 | |
| 3 | 2017 | 45 | |
| 4 | 2019 | 35 | |
| 5 | 2023 | 32 | |
| 6 | 2015 | 23 | |
| 7 | 2019 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2010 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2009 | 6 | |
| 20 | 2023 | 4 |
About Paul Baverel
Paul Baverel is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Statistics and Probability and Cancer Research, having authored 28 papers that have together received 468 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Peptidase Inhibition and Analysis (4 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Statistical Methods in Clinical Trials (3 papers), Lung Cancer Treatments and Mutations (3 papers), Asthma and respiratory diseases (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Oncology (175 citations), Statistics and Probability (47 citations), Pulmonary and Respiratory Medicine (116 citations), Health Informatics (5 citations) and Sensory Systems (17 citations). Paul Baverel has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Lorin Roskos, Rajesh Narwal, Pralay Mukhopadhyay, Yong Ben, Ashok Gupta, John A. Smith, Piet H. van der Graaf, Ashley Woodcock, Xiaoping Jin and Paolo Vicini. Their work appears in journals such as Journal of Clinical Oncology, CPT Pharmacometrics & Systems Pharmacology, Journal of Pharmacokinetics and Pharmacodynamics, Clinical Pharmacology & Therapeutics 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.