E Y

39 papers receiving 2.8k citations

Peers

E Y
Comparison fields: 5 of 106
  • Immunology and Allergy 327
  • Microbiology 285
  • Immunology 756
  • Public Health, Environmental and Occupational Health 721
  • Physiology 647
Replace T. B. Tomasi with:
T. B. Tomasi United States
R L Clancy Australia
S. E. Mergenhagen United States
Madelyn Berger United States
Abram B. Stavitsky United States
Nathalie Thiéblemont France
R.R.A. Coombs United Kingdom
Kenji Fukudome Japan
Carolyn Mold United States
Thomas A. Brown United States
E Y relative to T. B. Tomasi United States T. B. Tomasi's profile →
Citations per field
00.5×2.9×
T. B. Tomasi · 1×
Citations per year

Countries citing papers authored by E Y

Since Specialization
Citations

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

Fields of papers citing papers by E Y

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996293
2 1997273
3 1987207
4 1990181
5 1996168
6 1992168
7 1980168
8 1997154
9 1997148
10 1996133
11 1993101
12 197697
13 199182
14 199475
15 200060
16 199360
17 197554
18 199751
19 199150
20 199248

About E Y

E Y is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Epidemiology, having authored 39 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neonatal and Maternal Infections (8 papers), Pneumonia and Respiratory Infections (7 papers), Neonatal Respiratory Health Research (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Mast cells and histamine (4 papers), Asthma and respiratory diseases (4 papers), Streptococcal Infections and Treatments (3 papers) and Pediatric health and respiratory diseases (3 papers). The work is most often cited by research in Immunology and Allergy (327 citations), Microbiology (285 citations), Immunology (756 citations), Public Health, Environmental and Occupational Health (721 citations) and Physiology (647 citations). E Y has collaborated with scholars based in United States and Russia. Frequent co-authors include William R. Henderson, Craig E. Rubens, David Lagunoff, Mechthild Jonas, S J Klebanoff, Richard Albert, W. J. Lamm, Victor Nizet, Y Zhang and David B. Lewis. Their work appears in journals such as Infection and Immunity, Journal of Histochemistry & Cytochemistry, The Journal of Experimental Medicine, American Journal of Respiratory and Critical Care Medicine and Proceedings of the National Academy of Sciences.

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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