I‐Lynn Lee

24 papers receiving 330 citations

Peers

I‐Lynn Lee
Comparison fields: 5 of 77
  • Research and Theory 25
  • Leadership and Management 16
  • Obstetrics and Gynecology 79
  • Pediatrics, Perinatology and Child Health 72
  • Ophthalmology 33
Replace Kathleen J.H. Sparbel with:
Kathleen J.H. Sparbel United States
Tieying Shi China
John Jacono Canada
Kate McKenna Canada
Beth Ely United States
Chiu‐Hsiang Lee Taiwan
Sofía García‐Sanjuán Spain
Mehdi Pourasghar Iran
Linda A. Bernhard United States
Tom Roberts United Kingdom
I‐Lynn Lee relative to Kathleen J.H. Sparbel United States Kathleen J.H. Sparbel's profile →
Citations per field
00.5×5.3×
Kathleen J.H. Sparbel · 1×
Citations per year

Countries citing papers authored by I‐Lynn Lee

Since Specialization
Citations

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

Fields of papers citing papers by I‐Lynn Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Lynn Lee. 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 I‐Lynn Lee. The network helps show where I‐Lynn Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201066
2 201948
3 200433
4 200432
5 201729
6 201428
7 201917
8 202016
9 202016
10 20219
11 20159
12 20167
13 20157
14 20126
15 20225
16 20235
17 20205
18 20114
19 20253
20 20193

About I‐Lynn Lee

I‐Lynn Lee is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Surgery, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 354 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (14 papers), Pregnancy and preeclampsia studies (7 papers), Pancreatic function and diabetes (3 papers), Diabetes Management and Research (3 papers), Prenatal Substance Exposure Effects (3 papers), Birth, Development, and Health (3 papers), Bariatric Surgery and Outcomes (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Research and Theory (25 citations), Leadership and Management (16 citations), Obstetrics and Gynecology (79 citations), Pediatrics, Perinatology and Child Health (72 citations) and Ophthalmology (33 citations). I‐Lynn Lee has collaborated with scholars based in Australia, Taiwan and United States. Frequent co-authors include Yu‐Hua Lin, Tai‐Been Chen, Hsiu‐Hung Wang, Chu‐Yun Lu, Chia‐Chan Kao, Federica Barzi, Jacqueline Boyle, Louise Maple‐Brown, Jonathan E. Shaw and Jeremy Oats. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetic Medicine, Pediatric Obesity, Diabetologia and International Nursing Review.

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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