Dee Pei

4.8k citations
25 papers · 362 · h-index 10

Impact in

  • Nephrology top 5%
    • Gout, Hyperuricemia, Uric Acid
    • Parathyroid Disorders and Treatments
    • Chronic Kidney Disease and Diabetes
    • Thyroid Disorders and Treatments
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Diet, Metabolism, and Disease

Papers in

Dee Pei

23 papers receiving 351 citations

Peers

Dee Pei
Comparison fields: 5 of 58
  • Nephrology 175
  • Endocrinology, Diabetes and Metabolism 74
  • Pathology and Forensic Medicine 35
  • Health Information Management 8
  • Epidemiology 49
Replace Ryu Kawai with:
Ryu Kawai Japan
Ömer Celal Elçioğlu Türkiye
Pradeep Vaitla United States
Emma Bodenham United Kingdom
Hideki Uedono Japan
Matias Trillini Italy
E. Pardini Italy
Michalis Picolos Cyprus
Philippos Kaldrymides Greece
Cristian Rodelo‐Haad Spain
Dee Pei relative to Ryu Kawai Japan Ryu Kawai's profile →
Citations per field
00.5×3.9×
Ryu Kawai · 1×
Citations per year

Countries citing papers authored by Dee Pei

Since Specialization
Citations

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

Fields of papers citing papers by Dee Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201574
2 200648
3 201242
4 201231
5 201529
6 201629
7 201513
8 201212
9 202212
10 201011
11 20149
12 20207
13 20157
14 20157
15 20146
16 20225
17 20244
18 20224
19 20134
20 20203

About Dee Pei

Dee Pei is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology and Pathology and Forensic Medicine, having authored 25 papers that have together received 362 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Inflammasome and immune disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Diabetes Treatment and Management (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Nephrology (175 citations), Endocrinology, Diabetes and Metabolism (74 citations), Pathology and Forensic Medicine (35 citations), Health Information Management (8 citations) and Epidemiology (49 citations). Dee Pei has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yen-Lin Chen, Chung‐Ze Wu, Hai‐Lun Sun, Ko‐Huang Lue, Wayne Huey‐Herng Sheu, Shi‐Wen Kuo, Chun‐Hsien Hsu, I‐Te Lee, Shih‐Te Tu and Yi-Jen Hung. Their work appears in journals such as Medicine, The journal of nutrition health & aging, International Journal of Environmental Research and Public Health, Disease Markers and The Journal of Pediatrics.

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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