Jay R. Grossman

73 papers receiving 3.4k citations

Peers

Jay R. Grossman
Comparison fields: 5 of 110
  • Immunology and Allergy 1.3k
  • Physiology 1.8k
  • Pulmonary and Respiratory Medicine 1.2k
  • Otorhinolaryngology 138
  • Sensory Systems 161
Replace Gabriele Di Lorenzo with:
Gabriele Di Lorenzo Italy
Hisako Matsumoto Japan
Michela Silvestri Italy
Gary N. Gross United States
J.V. Collins United Kingdom
Valentina Panetta Italy
Howard M. Druce United States
Inge Kortekaas Krohn Belgium
Todd T. Kingdom United States
Doron D. Sommer Canada
Jay R. Grossman relative to Gabriele Di Lorenzo Italy Gabriele Di Lorenzo's profile →
Citations per field
00.5×2×3×3.6×
Gabriele Di Lorenzo · 1×
Citations per year

Countries citing papers authored by Jay R. Grossman

Since Specialization
Citations

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

Fields of papers citing papers by Jay R. Grossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay R. Grossman. 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 Jay R. Grossman. The network helps show where Jay R. Grossman may publish in the future.

Co-authors

The 25 scholars most cited alongside Jay R. Grossman, 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 Jay R. Grossman Line = papers co-authored together Jay R. Grossman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000424
2 1997383
3 1992302
4 2016194
5 2016170
6 2000169
7 1995162
8 1990107
9 2017102
10
Once daily fluticasone propionate aqueous nasal spray is an effective treatment for seasonal allergic rhinitis.
199179
11 199373
12 199773
13 197572
14 197463
15 199263
16 199361
17 199461
18 199960
19 200056
20 199953

About Jay R. Grossman

Jay R. Grossman is a scholar working on Immunology and Allergy, Physiology, Pulmonary and Respiratory Medicine, Dermatology and Sensory Systems, having authored 77 papers that have together received 3.9k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (37 papers), Allergic Rhinitis and Sensitization (29 papers), Respiratory and Cough-Related Research (18 papers), Inhalation and Respiratory Drug Delivery (8 papers), Olfactory and Sensory Function Studies (4 papers), Pharmaceutical studies and practices (3 papers), Enhanced Recovery After Surgery (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Immunology and Allergy (1.3k citations), Physiology (1.8k citations), Pulmonary and Respiratory Medicine (1.2k citations), Otorhinolaryngology (138 citations) and Sensory Systems (161 citations). Jay R. Grossman has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Michael Y. Wang, David S. Pearlman, Edwin A. Bronsky, Robert J. Dockhorn, Peng-Yuan Chang, James P. Kemp, Paul H. Ratner, Andre van As, Eli O. Meltzer and Steven R. Findlay. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Annals of Allergy Asthma & Immunology, Journal of Asthma, Journal of Neurosurgery Spine and The American Journal of Medicine.

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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