Sena Hwang

532 citations
29 papers · 415 · h-index 13

Impact in

Papers in

Sena Hwang

29 papers receiving 410 citations

Peers

Sena Hwang
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 155
  • Pathology and Forensic Medicine 112
  • Nephrology 16
  • Speech and Hearing 14
  • Nutrition and Dietetics 34
Replace Daniele Cappellani with:
Daniele Cappellani Italy
Flavia Di Bari Italy
Muammer Kara Türkiye
R. A. Ajjan United Kingdom
Jinshan Wu China
Laurent Larifla Guadeloupe
Katarzyna Siewko Poland
Donghu Zhen China
Kazuhiko Matsuzawa Japan
Kitirat Techatraisak Thailand
Sena Hwang relative to Daniele Cappellani Italy Daniele Cappellani's profile →
Citations per field
00.5×8.3×
Daniele Cappellani · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201498
2 201627
3 201425
4 202124
5 201121
6 201820
7 201118
8 201117
9 201414
10 201413
11 201513
12 201713
13 201812
14 201712
15 201411
16 201811
17 201011
18 201610
19 201610
20 20147

About Sena Hwang

Sena Hwang is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Surgery, Genetics and Molecular Biology, having authored 29 papers that have together received 415 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Ophthalmology and Eye Disorders (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Vitamin D Research Studies (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Tracheal and airway disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (155 citations), Pathology and Forensic Medicine (112 citations), Nephrology (16 citations), Speech and Hearing (14 citations) and Nutrition and Dietetics (34 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, Yumie Rhee, Woo Kyung Lee and Chan Woo Kang. Their work appears in journals such as Medicine, Journal of Diabetes Investigation, Gut and Liver, Endocrine Pathology and Respiration.

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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