Jonathan Monteleone

409 total citations
8 papers, 272 citations indexed

About

Jonathan Monteleone is a scholar working on Immunology, Neurology and Obstetrics and Gynecology. According to data from OpenAlex, Jonathan Monteleone has authored 8 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Neurology and 2 papers in Obstetrics and Gynecology. Recurrent topics in Jonathan Monteleone's work include Complement system in diseases (2 papers), Statistical Methods in Clinical Trials (2 papers) and COVID-19 Impact on Reproduction (2 papers). Jonathan Monteleone is often cited by papers focused on Complement system in diseases (2 papers), Statistical Methods in Clinical Trials (2 papers) and COVID-19 Impact on Reproduction (2 papers). Jonathan Monteleone collaborates with scholars based in United States, Switzerland and Australia. Jonathan Monteleone's co-authors include Nicholas H. G. Holford, Carl C. Peck, Ian M. Whyte, Francesco Bellanti, Xiang Gao, Gregory Carter, Huub Jan Kleijn, Stephan Ortiz, Shamsah Kazani and Alanna McEneny‐King and has published in prestigious journals such as The Annual Review of Pharmacology and Toxicology, The Journal of Clinical Pharmacology and Frontiers in Neurology.

In The Last Decade

Jonathan Monteleone

8 papers receiving 260 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonathan Monteleone United States	5	95	48	40	38	34	8	272
P Chan United Kingdom	5	58 0.6×	34 0.7×	49 1.2×	39 1.0×	47 1.4×	6	294
Kenneth G. Kowalski United States	11	159 1.7×	56 1.2×	73 1.8×	64 1.7×	57 1.7×	24	526
Moreno Ursino France	11	150 1.6×	52 1.1×	46 1.1×	16 0.4×	14 0.4×	42	324
Ulrika Wählby Sweden	7	132 1.4×	20 0.4×	93 2.3×	61 1.6×	70 2.1×	8	598
G. Caleb Alexander United States	8	57 0.6×	169 3.5×	26 0.7×	22 0.6×	45 1.3×	11	391
Pauline Bosco‐Lévy France	13	18 0.2×	32 0.7×	22 0.6×	28 0.7×	56 1.6×	31	399
Harry Southworth United Kingdom	10	38 0.4×	189 3.9×	23 0.6×	26 0.7×	32 0.9×	22	562
Kristin Karlsson Sweden	9	57 0.6×	30 0.6×	44 1.1×	27 0.7×	55 1.6×	13	287
P. A. Lockwood United States	3	143 1.5×	80 1.7×	46 1.1×	54 1.4×	63 1.9×	5	318
Annpey Pong United States	14	87 0.9×	30 0.6×	48 1.2×	16 0.4×	184 5.4×	56	791

Countries citing papers authored by Jonathan Monteleone

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Monteleone

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Monteleone. A scholar is included among the top collaborators of Jonathan Monteleone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Monteleone. Jonathan Monteleone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Zuo, Peiying, Million Arefayene, Wei‐Jian Pan, Tomoko Freshwater, & Jonathan Monteleone. (2024). A Population Pharmacokinetic Assessment of the Effect of Food on Selumetinib in Patients with Neurofibromatosis Type 1‐Related Plexiform Neurofibromas and Healthy Volunteers. Clinical Pharmacology in Drug Development. 13(7). 770–781. 1 indexed citations

Burwick, Richard M., Rachel Newman, Mariam Naqvi, et al.. (2022). Complement blockade with eculizumab for treatment of severe Coronavirus Disease 2019 in pregnancy: A case series. American Journal of Reproductive Immunology. 88(2). e13559–e13559. 10 indexed citations

McEneny‐King, Alanna, Jonathan Monteleone, Shamsah Kazani, & Stephan Ortiz. (2021). Pharmacokinetic and Pharmacodynamic Evaluation of Ravulizumab in Adults with Severe Coronavirus Disease 2019. Infectious Diseases and Therapy. 10(2). 1045–1054. 15 indexed citations

Monteleone, Jonathan, et al.. (2021). Eculizumab Pharmacokinetics and Pharmacodynamics in Patients With Generalized Myasthenia Gravis. Frontiers in Neurology. 12. 696385–696385. 23 indexed citations

Monteleone, Jonathan, et al.. (2015). Stochastic nonlinear mixed effects: a metformin case study. Journal of Pharmacokinetics and Pharmacodynamics. 43(1). 85–98. 3 indexed citations

Hasegawa, Chihiro, Helen Kastrissios, Jonathan Monteleone, et al.. (2014). Modeling and simulation of bone mineral density response from a phase 2 study of ONO‐5334, a new cathepsin K inhibitor, to support dose selection in osteoporosis. The Journal of Clinical Pharmacology. 54(8). 937–948. 4 indexed citations

Holford, Nicholas H. G., et al.. (2000). Simulation of Clinical Trials. The Annual Review of Pharmacology and Toxicology. 40(1). 209–234. 184 indexed citations

Monteleone, Jonathan, et al.. (1998). Features and Toxicokinetics of Clozapine in Overdose. Therapeutic Drug Monitoring. 20(1). 92–97. 32 indexed citations

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.

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