Sena Hwang

467 citations
27 papers · 362 · h-index 12

Impact in

Papers in

Sena Hwang

27 papers receiving 357 citations

Peers

Sena Hwang
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 195
  • Pathology and Forensic Medicine 132
  • Nutrition and Dietetics 38
  • Speech and Hearing 16
  • Nephrology 16
Replace Beata Matyjaszek‐Matuszek with:
Beata Matyjaszek‐Matuszek Poland
Maria Teresa Samà Italy
Katarzyna Siewko Poland
Caroline Sert France
Hiraku Kameda Japan
Rosaria Certo Italy
Shunji Hashizume Japan
N. C. Thalassinos Greece
A.R. Adamson United Kingdom
Muammer Karadeniz Türkiye
Sena Hwang relative to Beata Matyjaszek‐Matuszek Poland Beata Matyjaszek‐Matuszek's profile →
Citations per field
00.5×10×16×
Beata Matyjaszek‐Matuszek · 1×
Citations per year

Countries citing papers authored by Sena Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Sena Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201497
2 201625
3 202122
4 201121
5 201819
6 201117
7 201414
8 201713
9 201413
10 201812
11 201512
12 201411
13 201711
14 201610
15 201610
16 201010
17 201810
18 20147
19 20146
20 20176

About Sena Hwang

Sena Hwang is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Surgery, Molecular Biology and Genetics, having authored 27 papers that have together received 362 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Ophthalmology and Eye Disorders (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Vitamin D Research Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Pathology and Forensic Medicine (132 citations), Nutrition and Dietetics (38 citations), Speech and Hearing (16 citations) and Nephrology (16 citations). Sena Hwang has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Eun Jig Lee, Dong Yeob Shin, Kwang Joon Kim, Daham Kim, Jung Woo Byun, Jin Sook Yoon, Jin Hee Kim, Woo Kyung Lee, Eun Young Lee and Hyun Jung Lee. Their work appears in journals such as Medicine, Analytical and Bioanalytical Chemistry, Scientific Reports, Biological Trace Element Research and Frontiers in Immunology.

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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