Hsin‐Ching Sung

889 citations
32 papers · 691 · h-index 17

Impact in

Papers in

Hsin‐Ching Sung

31 papers receiving 678 citations

Peers

Hsin‐Ching Sung
Comparison fields: 5 of 96
  • Geriatrics and Gerontology 47
  • Dermatology 67
  • Genetics 58
  • Biochemistry 31
  • Rehabilitation 33
Replace Qiongming Liu with:
Qiongming Liu China
Hong Huang China
Weijun Huang China
Kejia Wang China
Haimei Sun China
Xiaohong Chen China
Young Tae Kim South Korea
Kyeong-A Kim South Korea
Xueqing Hu China
Hsin‐Ching Sung relative to Qiongming Liu China Qiongming Liu's profile →
Citations per field
00.5×3.1×
Qiongming Liu · 1×
Citations per year

Countries citing papers authored by Hsin‐Ching Sung

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Ching Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Ching Sung. 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 Hsin‐Ching Sung. The network helps show where Hsin‐Ching Sung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201295
2 201768
3 202066
4 202146
5 202038
6
Evaluating the function of matriptase and N-acetylglucosaminyltransferase V in prostate cancer metastasis.
200830
7 201330
8 201529
9 202126
10 201525
11 201324
12 200224
13 202021
14 202220
15 201218
16 201717
17 202116
18 201816
19 202113
20 202213

About Hsin‐Ching Sung

Hsin‐Ching Sung is a scholar working on Molecular Biology, Physiology, Dermatology, Immunology and Cancer Research, having authored 32 papers that have together received 691 indexed citations. Recurring topics across this work include Dermatologic Treatments and Research (4 papers), Immune Response and Inflammation (3 papers), Exercise and Physiological Responses (3 papers), Muscle metabolism and nutrition (3 papers), NF-κB Signaling Pathways (3 papers), GDF15 and Related Biomarkers (3 papers), Adipose Tissue and Metabolism (3 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). The work is most often cited by research in Geriatrics and Gerontology (47 citations), Dermatology (67 citations), Genetics (58 citations), Biochemistry (31 citations) and Rehabilitation (33 citations). Hsin‐Ching Sung has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Chien‐Yu Hsiao, Tsui‐Hsia Feng, Horng‐Heng Juang, Yuh‐Lien Chen, Chi‐Chang Huang, Sindy Hu, Chiang‐Wen Lee, Yi-Ju Hsu, Chun‐Hsun Huang and Mon‐Chien Lee. Their work appears in journals such as Antioxidants, International Journal of Molecular Sciences, Biomedicines, Molecules and Nutrients.

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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