Steve Lewitzky

2.4k citations
14 papers · 1.8k indexed · 1 hit paper · h-index 10
Topics
Healthcare Policy and Management (3 papers)Genetic Associations and Epidemiology (2 papers)Autoimmune Bullous Skin Diseases (2 papers)

In The Last Decade

Steve Lewitzky

14 papers receiving 1.8k citations

Hit Papers

Secukinumab, a human anti-IL-17A monoclonal antibody, for...201220262016202120122505007501000

Peers

Steve Lewitzky
Comparison fields: 5 of 106
  • Immunology 887
  • Genetics 600
  • Epidemiology 285
  • Molecular Biology 282
  • Rheumatology 281
Replace D. Sayer with:
D. Sayer Australia
Mariam Molokhia United Kingdom
Marc Vandemeulebroecke Switzerland
N J Fitch United Kingdom
Arthur Kavanaugh United States
Ching‐Hon Pui United States
Khai Pang Leong Singapore
Stephan Bek Germany
Ann L. Parke United States
Valderílio Feijó Azevedo Brazil
Steve Lewitzky relative to D. Sayer Australia D. Sayer's profile →
Citations per field
00.5×2.7×
D. Sayer · 1×
Citations per year

Countries citing papers authored by Steve Lewitzky

Since Specialization
Citations

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

Fields of papers citing papers by Steve Lewitzky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Lewitzky

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Lewitzky. A scholar is included among the top collaborators of Steve Lewitzky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steve Lewitzky. Steve Lewitzky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 37
2
Secukinumab, a human anti-IL-17A monoclonal antibody, for moderate to severe Crohn's disease: unexpected results of a randomised, double-blind placebo-controlled trialbreakdown →
1156
3 11
4 273
5 1
6 26
7
SR-B1 variants associated with HDL cholesterol levels in three populations
2
8 63
9 110
10 74
11 20
12 2
13 65
14 3

About Steve Lewitzky

Steve Lewitzky is a scholar working on Emergency Medicine, Immunology and Allergy and Statistics and Probability, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Healthcare Policy and Management (3 papers), Genetic Associations and Epidemiology (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Immunology (887 citations), Genetics (600 citations) and Pharmacology (183 citations). Steve Lewitzky has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Wolfgang Hueber, Marc Vandemeulebroecke, Simon Travis, Jan Wehkamp, Peter Higgins, Walter Reinisch, Gerard Bruin, Jacek Karczewski, Arthur P. Bertolino and Marco Londei. Their work appears in journals such as Nature Genetics, Journal of the American Statistical Association and Diabetes.

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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