Eric S. Silverman

55 papers receiving 3.6k citations

Peers

Eric S. Silverman
Comparison fields: 5 of 119
  • Physiology 1.4k
  • Immunology 769
  • Immunology and Allergy 174
  • Pharmacology 242
  • Pulmonary and Respiratory Medicine 753
Replace Ulaganathan Mabalirajan with:
Ulaganathan Mabalirajan India
Kunio Dobashi Japan
Elisabeth Boichot France
George T. De Sanctis United States
Tanveer Ahmad India
Judith L. Black Australia
Yukio Ishii Japan
Shunichi Shiozawa Japan
Maria B. Sukkar Australia
David M. Essayan United States
Eric S. Silverman relative to Ulaganathan Mabalirajan India Ulaganathan Mabalirajan's profile →
Citations per field
00.5×1.5×1.9×
Ulaganathan Mabalirajan · 1×
Citations per year

Countries citing papers authored by Eric S. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Silverman. 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 Eric S. Silverman. The network helps show where Eric S. Silverman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999445
2 2000270
3 2004253
4 1999225
5 2005214
6 2003213
7 1999180
8 2004142
9 2007122
10 1998103
11 200294
12 199894
13 199791
14 200086
15 200277
16 200275
17 200475
18 200458
19 200452
20 201352

About Eric S. Silverman

Eric S. Silverman is a scholar working on Physiology, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 3.8k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (27 papers), IL-33, ST2, and ILC Pathways (6 papers), Immune Response and Inflammation (6 papers), Immune Cell Function and Interaction (5 papers), Neonatal Respiratory Health Research (5 papers), Ion channel regulation and function (4 papers), Receptor Mechanisms and Signaling (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Physiology (1.4k citations), Immunology (769 citations), Immunology and Allergy (174 citations), Pharmacology (242 citations) and Pulmonary and Respiratory Medicine (753 citations). Eric S. Silverman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jeffrey M. Drazen, Tucker Collins, Lyle J. Palmer, Scott T. Weiss, Amy J. Williams, Stephanie A. Shore, Brent Richter, Kelan G. Tantisira, Chandri Yandava and Elliot Israel. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, American Journal of Physiology-Lung Cellular and Molecular Physiology, American Journal of Respiratory Cell and Molecular Biology, Journal of Intensive Care Medicine and Journal of Allergy and Clinical Immunology.

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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