Jonathan Montomoli

3.1k total citations · 2 hit papers
36 papers, 1.1k citations indexed

About

Jonathan Montomoli is a scholar working on Surgery, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jonathan Montomoli has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 14 papers in Epidemiology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jonathan Montomoli's work include Artificial Intelligence in Healthcare and Education (7 papers), Sepsis Diagnosis and Treatment (7 papers) and Hemodynamic Monitoring and Therapy (7 papers). Jonathan Montomoli is often cited by papers focused on Artificial Intelligence in Healthcare and Education (7 papers), Sepsis Diagnosis and Treatment (7 papers) and Hemodynamic Monitoring and Therapy (7 papers). Jonathan Montomoli collaborates with scholars based in Italy, Denmark and Switzerland. Jonathan Montomoli's co-authors include Valentina Bellini, Elena Bignami, Marco Cascella, Henrik Toft Sørensen, Rune Erichsen, Federico Semeraro, Can İnce, Ornella Piazza, Abele Donati and Tove Nilsson and has published in prestigious journals such as Critical Care Medicine, Critical Care and World Journal of Gastroenterology.

In The Last Decade

Jonathan Montomoli

33 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios

2023 656 citations Marco Cascella, Jonathan Montomoli et al. Journal of Medical Systems profile →
The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives

2024 100 citations Marco Cascella, Federico Semeraro et al. Journal of Medical Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Montomoli Italy	14	554	323	273	181	155	36	1.1k
Selen Bozkurt Türkiye	20	228 0.4×	312 1.0×	214 0.8×	161 0.9×	111 0.7×	111	1.3k
Dennis Shung United States	17	316 0.6×	280 0.9×	204 0.7×	75 0.4×	183 1.2×	61	950
Suresh Balu United States	16	446 0.8×	374 1.2×	158 0.6×	204 1.1×	113 0.7×	54	1.1k
Stan Benjamens Netherlands	13	403 0.7×	209 0.6×	272 1.0×	57 0.3×	120 0.8×	35	978
Constanza L. Andaur Navarro Netherlands	12	436 0.8×	367 1.1×	306 1.1×	136 0.8×	104 0.7×	18	1.1k
Mark Sendak United States	18	728 1.3×	582 1.8×	283 1.0×	280 1.5×	143 0.9×	54	1.6k
Mustafa Suleyman United Kingdom	6	672 1.2×	511 1.6×	463 1.7×	122 0.7×	74 0.5×	6	1.4k
Steven W J Nijman Netherlands	9	276 0.5×	304 0.9×	157 0.6×	118 0.7×	69 0.4×	10	890
Kerstin Noëlle Vokinger Switzerland	19	463 0.8×	273 0.8×	340 1.2×	74 0.4×	86 0.6×	68	1.6k

Countries citing papers authored by Jonathan Montomoli

Since Specialization

Citations

This map shows the geographic impact of Jonathan Montomoli'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 Montomoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Montomoli more than expected).

Fields of papers citing papers by Jonathan Montomoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Montomoli. 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 Montomoli. The network helps show where Jonathan Montomoli may publish in the future.

Co-authorship network of co-authors of Jonathan Montomoli

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Montomoli. A scholar is included among the top collaborators of Jonathan Montomoli 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 Montomoli. Jonathan Montomoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Colombo, Riccardo, Jonathan Montomoli, Antonella Tosoni, et al.. (2025). Clarkson disease in critically and non-critically ill patients: insights from the Italian IRIS-CLS registry. Internal and Emergency Medicine. 20(4). 991–1001.

Zaçe, Drieda, Federico Semeraro, Sebastian Schnaubelt, et al.. (2025). Artificial intelligence in resuscitation: a scoping review. Resuscitation Plus. 24. 100973–100973. 3 indexed citations

Flick, Moritz, Linda Krause, Jonathan Montomoli, et al.. (2025). The effect of major abdominal surgery on the sublingual microcirculation: an observational study. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 72(5). 768–779.

Cascella, Marco, Federico Semeraro, Jonathan Montomoli, et al.. (2024). The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives. Journal of Medical Systems. 48(1). 22–22. 100 indexed citations breakdown →

Colombo, Riccardo, Maddalena Alessandra Wu, Davide Ottolina, et al.. (2023). Failing categorization of severe COVID-19 ARDS into ventilatory subphenotypes studied via the clinical-histopathologic relationship. Respiratory Medicine. 215. 107283–107283. 1 indexed citations

Cascella, Marco, Jonathan Montomoli, Valentina Bellini, & Elena Bignami. (2023). Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios. Journal of Medical Systems. 47(1). 33–33. 656 indexed citations breakdown →

Cascella, Marco, Valentina Bellini, Jonathan Montomoli, et al.. (2023). Intelligenza artificiale e il “grande circo dell’editoria medico-scientifica”. Recenti Progressi in Medicina. 114(2). 118–120. 1 indexed citations

Cascella, Marco, Jonathan Montomoli, Valentina Bellini, et al.. (2023). Crossing the AI Chasm in Neurocritical Care. Computers. 12(4). 83–83. 5 indexed citations

Montomoli, Jonathan, Matthias P. Hilty, & Can İnce. (2022). Artificial intelligence in intensive care: moving towards clinical decision support systems. Minerva Anestesiologica. 88(12). 1066–1072. 6 indexed citations

10.

Wu, Maddalena Alessandra, Gianluca Lopez, Manuela Nebuloni, et al.. (2021). Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage. Critical Care. 25(1). 423–423. 7 indexed citations

11.

Domizi, Roberta, Elisa Damiani, Claudia Scorcella, et al.. (2021). Mid-Regional Proadrenomedullin (MR-proADM) and Microcirculation in Monitoring Organ Dysfunction of Critical Care Patients With Infection: A Prospective Observational Pilot Study. Frontiers in Medicine. 8. 680244–680244. 4 indexed citations

12.

Hilty, Matthias P., André Moser, Sascha David, et al.. (2021). Near real-time observation reveals increased prevalence of young patients in the ICU during the emerging third SARS-CoV-2 wave in Switzerland. Swiss Medical Weekly. 151(2930). w20553–w20553. 1 indexed citations

13.

Nardi, Giuseppe, Gianfranco Sanson, Giovanna Guiotto, et al.. (2020). Lactate Arterial-Central Venous Gradient among COVID-19 Patients in ICU: A Potential Tool in the Clinical Practice. Critical Care Research and Practice. 2020. 1–5. 9 indexed citations

14.

Montomoli, Jonathan, Abele Donati, & Can İnce. (2019). Acute Kidney Injury and Fluid Resuscitation in Septic Patients: Are We Protecting the Kidney?. The Nephron journals/Nephron journals. 143(3). 170–173. 38 indexed citations

15.

Montomoli, Jonathan, Rune Erichsen, Henrik Gammelager, & Alma B Pedersen. (2018). Liver disease and mortality among patients with hip fracture: a population-based cohort study. Clinical Epidemiology. Volume 10. 991–1000. 16 indexed citations

16.

Naldi, Marina, Maurizio Baldassarre, Marco Domenicali, et al.. (2016). Mass spectrometry characterization of circulating human serum albumin microheterogeneity in patients with alcoholic hepatitis. Journal of Pharmaceutical and Biomedical Analysis. 122. 141–147. 15 indexed citations

17.

Montomoli, Jonathan, Rune Erichsen, Lisa L. Strate, et al.. (2015). Coexisting Liver Disease Is Associated with Increased Mortality After Surgery for Diverticular Disease. Digestive Diseases and Sciences. 60(6). 1832–1840. 7 indexed citations

18.

Veronese, Giacomo, Jonathan Montomoli, Morten Schmidt, Erzsébet Horváth–Puhó, & Henrik Toft Sørensen. (2013). Statin Use and Risk of Atrial Fibrillation or Flutter. American Journal of Therapeutics. 22(3). 186–194. 15 indexed citations

19.

Montomoli, Jonathan, Rune Erichsen, Christian Fynbo Christiansen, et al.. (2013). Liver disease and 30-day mortality after colorectal cancer surgery: a Danish population-based cohort study. BMC Gastroenterology. 13(1). 66–66. 39 indexed citations

20.

Montomoli, Jonathan. (2010). Body composition changes after transjugular intrahepatic portosystemic shunt in patients with cirrhosis. World Journal of Gastroenterology. 16(3). 348–348. 35 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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