Jonathan Monteleone
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
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- Pharmacogenetics and Drug Metabolism
Papers in
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- Complement system in diseases 2
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- Vascular Malformations Diagnosis and Treatment 1
- Co-authors
- Nicholas H. G. Holford (2 shared papers)Carl C. Peck (1 shared paper)Xiang Gao (1 shared paper)Huub Jan Kleijn (1 shared paper)Ian M. Whyte (1 shared paper)Gregory Carter (1 shared paper)Francesco Bellanti (1 shared paper)Shamsah Kazani (2 shared papers)
- Journals
- Infectious Diseases and Therapy (1 paper)American Journal of Reproductive Immunology (1 paper)The Annual Review of Pharmacology and Toxicology (1 paper)The Journal of Clinical Pharmacology (1 paper)Therapeutic Drug Monitoring (1 paper)
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
Jonathan Monteleone
8 papers receiving 260 citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 95
- Pharmacology 38
- Pediatrics, Perinatology and Child Health 40
- Psychiatry and Mental health 30
- Transplantation 5
Countries citing papers authored by Jonathan Monteleone
This map shows the geographic impact of Jonathan Monteleone'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 Jonathan Monteleone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Monteleone more than expected).
Fields of papers citing papers by Jonathan Monteleone
This network shows the impact of papers produced by Jonathan Monteleone. 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 Jonathan Monteleone. The network helps show where Jonathan Monteleone may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Monteleone, 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 | 2000 | 184 | |
| 2 | 1998 | 32 | |
| 3 | 2021 | 23 | |
| 4 | 2021 | 15 | |
| 5 | 2022 | 10 | |
| 6 | 2014 | 4 | |
| 7 | 2015 | 3 | |
| 8 | 2024 | 1 |
About Jonathan Monteleone
Jonathan Monteleone is a scholar working on Immunology, Neurology, Obstetrics and Gynecology, Statistics and Probability and Infectious Diseases, having authored 8 papers that have together received 272 indexed citations. Recurring topics across this work include Complement system in diseases (2 papers), COVID-19 Impact on Reproduction (2 papers), Statistical Methods in Clinical Trials (2 papers), Bone health and osteoporosis research (1 paper), Statistical Methods and Bayesian Inference (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Bone health and treatments (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Statistics and Probability (95 citations), Pharmacology (38 citations), Pediatrics, Perinatology and Child Health (40 citations), Psychiatry and Mental health (30 citations) and Transplantation (5 citations). Jonathan Monteleone has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Nicholas H. G. Holford, Carl C. Peck, Xiang Gao, Huub Jan Kleijn, Ian M. Whyte, Gregory Carter, Francesco Bellanti, Shamsah Kazani, Stephan Ortiz and Alanna McEneny‐King. Their work appears in journals such as Infectious Diseases and Therapy, American Journal of Reproductive Immunology, The Annual Review of Pharmacology and Toxicology, The Journal of Clinical Pharmacology and Therapeutic Drug Monitoring.
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.