Lynette Keyes-Elstein

20 papers receiving 1.1k citations

Peers

Lynette Keyes-Elstein
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 295
  • Genetics 453
  • Pathology and Forensic Medicine 269
  • Surgery 314
  • Immunology 148
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P. Lilos Israel
Rodney Hughes United Kingdom
John-Paul Vader Switzerland
Vikas Mehta United States
Abraham Zonana-Nacach Mexico
Pat Ansell United Kingdom
Ricciarda Raffaelli Italy
Ann B. Barnes United States
Ian K. Komenaka United States
Konstantinos Dinas Greece
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Citations per year

Countries citing papers authored by Lynette Keyes-Elstein

Since Specialization
Citations

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

Fields of papers citing papers by Lynette Keyes-Elstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynette Keyes-Elstein. 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 Lynette Keyes-Elstein. The network helps show where Lynette Keyes-Elstein may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013316
2 2018141
3 2001127
4 2021125
5 2004111
6 2013102
7 201668
8 201439
9 202031
10
Teplizumab (anti-CD3 mAb) treatment preserves C-peptide responses in patients with new-onset type 1 diabetes in a randomized controlled trial: Metabolic and immunologic features at baseline identify a subgroup of responders
201421
11 201619
12 201015
13 200513
14 202211
15 202310
16 20196
17 20205
18 20204
19
Gastric antral vascular ectasia (GAVE) in early diffuse SSc: Report from the SCOT trial
20083
20 20171

About Lynette Keyes-Elstein

Lynette Keyes-Elstein is a scholar working on Pathology and Forensic Medicine, Genetics, Pulmonary and Respiratory Medicine, Surgery and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (9 papers), Diabetes and associated disorders (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Diabetes Management and Research (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Dermatologic Treatments and Research (1 paper), Gastrointestinal disorders and treatments (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (295 citations), Genetics (453 citations), Pathology and Forensic Medicine (269 citations), Surgery (314 citations) and Immunology (148 citations). Lynette Keyes-Elstein has collaborated with scholars based in United States. Frequent co-authors include Jayne Stuart, Peter A. Margolis, Mario R. Ehlers, Ashley Pinckney, Deborah Phippard, Peter A. Gottlieb, Jeffrey A. Bluestone, Stephen E. Gitelman, Peter H. Sayre and Sudeepta Aggarwal. Their work appears in journals such as Annals of the Rheumatic Diseases, Nature Reviews Rheumatology, The Lancet Diabetes & Endocrinology, Diabetologia and American Journal of Respiratory and Critical Care 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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