Laya Ekhlaspour

14.4k citations
49 papers · 1.4k indexed · 2 hit papers · h-index 18

Laya Ekhlaspour

43 papers receiving 1.3k citations

Hit Papers

Trial of Hybrid Closed-Loop Control in Youn...81202020262022202450100150200250

Peers

Laya Ekhlaspour
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Genetics 856
  • Surgery 989
  • Family Practice 8
  • Health Information Management 12
Replace Firas H. El-Khatib with:
Firas H. El-Khatib United States
Craig Kollman United States
Revital Nimri Israel
John W. Lum United States
Lori Carria United States
Arianne C. van Bon Netherlands
Nicola N. Zammitt United Kingdom
Toni L. Cordero United States
Erin Cobry United States
Shahar Miller Israel
Laya Ekhlaspour relative to Firas H. El-Khatib United States Firas H. El-Khatib's profile →
Citations per field
00.5×
Firas H. El-Khatib · 1×
Citations per year

Countries citing papers authored by Laya Ekhlaspour

Since Specialization
Citations

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

Fields of papers citing papers by Laya Ekhlaspour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20247
3 202412
4 20242
5 202228
6 202126
7 20200
8 202044
9 202035
10 20201
11 20200
12 20202
13 201911
14 201967
15 201960
16 201952
17 201973
18 20197
19 2018168
20 201625

About Laya Ekhlaspour

Laya Ekhlaspour is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes Management and Research (43 papers), Pancreatic function and diabetes (33 papers), Diabetes and associated disorders (25 papers), Diabetes Treatment and Management (10 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Mobile Health and mHealth Applications (2 papers), Health Literacy and Information Accessibility (1 paper) and Pharmaceutical studies and practices (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Genetics (856 citations) and Surgery (989 citations). Laya Ekhlaspour has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Bruce A. Buckingham, Gregory P. Forlenza, R. Paul Wadwa, Marc D. Breton, Mark D. DeBoer, Roy W. Beck, Liana Hsu, Craig Kollman, Lori Carria and Eda Cengiz. Their work appears in journals such as Diabetes, Diabetes Technology & Therapeutics, Journal of Diabetes Science and Technology, Pediatric Diabetes and Diabetes Care.

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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