Lynette Keyes-Elstein

2.9k citations
20 papers · 1.1k indexed · h-index 13

Impact in

Papers in

Lynette Keyes-Elstein

20 papers receiving 1.1k citations

Peers

Lynette Keyes-Elstein
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 358
  • Genetics 441
  • Pathology and Forensic Medicine 271
  • Surgery 385
  • Immunology 182
Replace Fiona L. Dignan with:
Fiona L. Dignan United Kingdom
Konstantinos Dinas Greece
Limin Yang Japan
Emily Ko United States
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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 202310
2 202211
3 2021119
4 20203
5 202028
6 20205
7 20196
8 2018137
9 20171
10 201619
11 201665
12
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
13 201437
14 201397
15 2013294
16 201015
17
Gastric antral vascular ectasia (GAVE) in early diffuse SSc: Report from the SCOT trial
20083
18 200512
19 2004111
20 2001122

About Lynette Keyes-Elstein

Lynette Keyes-Elstein is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Dermatology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (9 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Diabetes Management and Research (5 papers), Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (4 papers), Dermatologic Treatments and Research (2 papers), Child and Adolescent Health (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (358 citations), Genetics (441 citations), Pathology and Forensic Medicine (271 citations), Surgery (385 citations) and Immunology (182 citations). Lynette Keyes-Elstein has collaborated with scholars based in United States. Frequent co-authors include Jayne Stuart, Peter A. Margolis, Ashley Pinckney, Mario R. Ehlers, Deborah Phippard, Peter A. Gottlieb, Jeffrey A. Bluestone, Stephen E. Gitelman, Sudeepta Aggarwal and Peter H. Sayre. Their work appears in journals such as Annals of the Rheumatic Diseases, Nature Reviews Rheumatology, Diabetes, PEDIATRICS and Biology of Blood and Marrow Transplantation.

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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