Jonathan Matz

23 papers receiving 2.5k citations

Jonathan Matz's Hit Papers

Mepolizumab for chronic rhinosinusitis with nasal polyps (SYNAPSE): a randomised, double-blind, placebo-controlled, phase 3 trial 2021 · 485 citations
4850+1+3Years since publication100200300400

Peers

Jonathan Matz
Comparison fields: 5 of 59
  • Physiology 1.6k
  • Otorhinolaryngology 340
  • Immunology and Allergy 92
  • Physiology 28
  • Pulmonary and Respiratory Medicine 151
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Gary C. Steven United States
Arzu Bakırtaş Türkiye
Clifton T. Furukawa United States
Paul Chervinsky United States
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Isam Alobid Spain
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Citations per year

Countries citing papers authored by Jonathan Matz

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Matz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Matz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Matz Line = papers co-authored together Jonathan Matz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001702
2
Mepolizumab for chronic rhinosinusitis with nasal polyps (SYNAPSE): a randomised, double-blind, placebo-controlled, phase 3 trial
Hit paper breakdown →
2021485
3 1998415
4 2018256
5 2020192
6 2002163
7 2001101
8 200170
9 199457
10 199936
11 200836
12 202033
13 200923
14 200215
15 202314
16 202113
17 199412
18 202311
19 201510
20 20005

About Jonathan Matz

Jonathan Matz is a scholar working on Physiology, Immunology and Allergy, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 24 papers that have together received 2.7k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (12 papers), Allergic Rhinitis and Sensitization (3 papers), Sinusitis and nasal conditions (2 papers), Pericarditis and Cardiac Tamponade (1 paper), Drug-Induced Adverse Reactions (1 paper), Respiratory and Cough-Related Research (1 paper) and Gastric Cancer Management and Outcomes (1 paper). The work is most often cited by research in Physiology (1.6k citations), Otorhinolaryngology (340 citations), Immunology and Allergy (92 citations), Physiology (28 citations) and Pulmonary and Respiratory Medicine (151 citations). Jonathan Matz has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include M. Solèr, Robert G. Townley, Jackie Thirlwell, Giovanni Della Cioppa, Roland Buhl, Niroo Gupta, Barbara A. Knorr, Theodore F. Reiss, Beth C. Seidenberg and Ha H. Nguyen. Their work appears in journals such as Journal of Allergy and Clinical Immunology, The Lancet Respiratory Medicine, European Respiratory Journal, Allergy and Asthma Proceedings and JAMA.

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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