Szu‐Chi Chen

423 citations
19 papers · 298 · h-index 8

Impact in

Papers in

Szu‐Chi Chen

12 papers receiving 288 citations

Peers

Szu‐Chi Chen
Comparison fields: 5 of 66
  • Obstetrics and Gynecology 113
  • Endocrinology, Diabetes and Metabolism 78
  • Pediatrics, Perinatology and Child Health 51
  • Surgery 76
  • Genetics 41
Replace Neera Agarwal with:
Neera Agarwal India
Olimpia Diadei Italy
Ayşe Gül Kebapçılar Türkiye
N. Agarwal India
Myra Chiang United States
Miyase Bayraktar Türkiye
Dominique S. Genest Canada
Sophia Sakka Greece
Eleonora Crascì Italy
Anne Cathrine B. Thuesen Denmark
Szu‐Chi Chen relative to Neera Agarwal India Neera Agarwal's profile →
Citations per field
00.5×5.1×
Neera Agarwal · 1×
Citations per year

Countries citing papers authored by Szu‐Chi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Szu‐Chi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Szu‐Chi Chen. 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 Szu‐Chi Chen. The network helps show where Szu‐Chi Chen may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201574
2 201956
3 201545
4 202032
5 201930
6 201725
7 201617
8 201310
9 20233
10 20203
11 20201
12 20241
13 20081
14
Clam Extract Decreases Nasal Symptoms and Improves Sleep Quality after Septoturbinoplasty.
20230
15 20240
16 20250
17 20240
18 20180
19 20240

About Szu‐Chi Chen

Szu‐Chi Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 19 papers that have together received 298 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Lipid metabolism and disorders (3 papers), Gestational Diabetes Research and Management (3 papers), Pregnancy and preeclampsia studies (2 papers), Nasal Surgery and Airway Studies (1 paper), Diversity and Career in Medicine (1 paper) and Health and Medical Research Impacts (1 paper). The work is most often cited by research in Obstetrics and Gynecology (113 citations), Endocrinology, Diabetes and Metabolism (78 citations), Pediatrics, Perinatology and Child Health (51 citations), Surgery (76 citations) and Genetics (41 citations). Szu‐Chi Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Hung‐Yuan Li, Chun‐Heng Kuo, Lee‐Ming Chuang, Chien‐Nan Lee, Shin‐Yu Lin, Kang‐Chih Fan, Kuan‐Yu Chen, Shyang‐Rong Shih, Jung‐Nan Wei and Tien‐Chun Chang. Their work appears in journals such as PLoS ONE, Journal of Diabetes Investigation, Scientific Reports, Nature Communications and Journal of Surgical Research.

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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