Edward K. Silverman

1.3k citations
16 papers · 1.1k · h-index 9

Impact in

Papers in

Edward K. Silverman

13 papers receiving 1.0k citations

Peers

Edward K. Silverman
Comparison fields: 5 of 102
  • Sensory Systems 78
  • Physiology 304
  • Pulmonary and Respiratory Medicine 358
  • Genetics 182
  • Emergency Medical Services 39
Replace Laura Pujols with:
Laura Pujols Spain
Tonio Pera United States
Tsugio Nakazawa Japan
Mahendra Damarla United States
I. F. McMurtry United States
Kaushik Parthasarathi United States
Jorge M. Uribe United States
Rolf Beume Germany
Cemil Korcan Ayata Germany
Juan Meng China
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Citations per field
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Citations per year

Countries citing papers authored by Edward K. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Edward K. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2003394
2 1997286
3 2009192
4 200995
5 196533
6 200925
7
Lack of association between COPD and transforming growth factor-beta1 (TGFB1) genetic polymorphisms in Koreans.
200624
8 200620
9 201419
10 19732
11 20162
12 19581
13 19661
14 19691
15 19721
16 19730

About Edward K. Silverman

Edward K. Silverman is a scholar working on Pulmonary and Respiratory Medicine, Geometry and Topology, Applied Mathematics, Sensory Systems and Microbiology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Neonatal Respiratory Health Research (2 papers), Respiratory Support and Mechanisms (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Advanced Numerical Analysis Techniques (1 paper), Geometric Analysis and Curvature Flows (1 paper), Diabetes and associated disorders (1 paper) and Advanced Harmonic Analysis Research (1 paper). The work is most often cited by research in Sensory Systems (78 citations), Physiology (304 citations), Pulmonary and Respiratory Medicine (358 citations), Genetics (182 citations) and Emergency Medical Services (39 citations). Edward K. Silverman has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Stephen L. Lake, Kelan G. Tantisira, Daniel J. Schaid, N. M. Laird, Helen N. Lyon, Scott T. Weiss, Donald H. Horstman, David A. Lomas, Lisa D Edwards and Bruce E. Miller. Their work appears in journals such as Proceedings of the American Mathematical Society, European Respiratory Journal, Transactions of the American Mathematical Society, Journal of the American Animal Hospital Association and Human Heredity.

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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