Dee Pei

3.8k citations
137 papers · 2.8k indexed · h-index 28

Dee Pei

135 papers receiving 2.8k citations

Peers

Dee Pei
Comparison fields: 5 of 142
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Biological Psychiatry 56
  • Cardiology and Cardiovascular Medicine 448
  • Physiology 493
  • Endocrine and Autonomic Systems 106
Replace Nele Friedrich with:
Nele Friedrich Germany
Leena Moilanen Finland
Halıl Yaman Türkiye
Robert Krysiak Poland
Hong Chen China
Nathalie Esser Belgium
Daisy Crispim Brazil
Michèle Cioffi Italy
Juha Saltevo Finland
P Dandona United Kingdom
Dee Pei relative to Nele Friedrich Germany Nele Friedrich's profile →
Citations per field
00.5×1.5×
Nele Friedrich · 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-authorship network

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
#Work
1 20251
2 20243
3 20173
4 20171
5 201618
6 201329
7
Systolic Blood Pressure as an Independent Predictor of Metabolic Syndrome in Male Adolescents
20123
8 20126
9 20124
10 20111
11 20111
12 201114
13 20103
14 20105
15 200931
16 20063
17 20061
18 20051
19 20043
20 2002133

About Dee Pei

Dee Pei is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Physiology, having authored 137 papers that have together received 2.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (50 papers), Metabolism, Diabetes, and Cancer (27 papers), Diabetes Management and Research (26 papers), Adipokines, Inflammation, and Metabolic Diseases (23 papers), Diabetes Treatment and Management (22 papers), Liver Disease Diagnosis and Treatment (18 papers), Adipose Tissue and Metabolism (9 papers) and Pharmacology and Obesity Treatment (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Biological Psychiatry (56 citations), Cardiology and Cardiovascular Medicine (448 citations), Physiology (493 citations) and Endocrine and Autonomic Systems (106 citations). Dee Pei has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chang‐Hsun Hsieh, Shi‐Wen Kuo, Yi‐Jen Hung, Chung‐Ze Wu, Wayne Huey‐Herng Sheu, Chang‐Hsun Hsieh, David Curb, David R. Cox, Koustubh Ranade and David Botstein. Their work appears in journals such as Metabolism, Medicine, Endocrine Research, Diabetes Research and Clinical Practice and International Journal of Clinical Practice.

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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