Sin-Ting Wang

556 citations
14 papers · 468 · h-index 11

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • Cancer, Lipids, and Metabolism 3
    • Cancer, Hypoxia, and Metabolism 1
    • Cancer-related Molecular Pathways 1

Sin-Ting Wang

14 papers receiving 461 citations

Peers

Sin-Ting Wang
Comparison fields: 5 of 73
  • Cancer Research 122
  • Immunology 108
  • Dermatology 29
  • Oncology 83
  • Molecular Biology 194
Replace Zhen Nan with:
Zhen Nan China
Mai Fujiwara United States
Liman Niu China
Libo Sun China
Longjiang Xu China
Xingxing Chai China
Martina Quirling Germany
Qingxiang Gao China
Susan C. Fish United States
Qianqian Yin China
Sin-Ting Wang relative to Zhen Nan China Zhen Nan's profile →
Citations per field
00.5×2×4×6.7×
Zhen Nan · 1×
Citations per year

Countries citing papers authored by Sin-Ting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sin-Ting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin-Ting Wang. 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 Sin-Ting Wang. The network helps show where Sin-Ting Wang may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017135
2 202063
3 201550
4 201445
5 202036
6 202032
7 201629
8 201722
9 201519
10 201014
11 202111
12 20249
13 20102
14 20161

About Sin-Ting Wang

Sin-Ting Wang is a scholar working on Cancer Research, Oncology, Epidemiology, Immunology and Physiology, having authored 14 papers that have together received 468 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Mycobacterium research and diagnosis (1 paper), Dermatology and Skin Diseases (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cancer Research and Treatments (1 paper), ATP Synthase and ATPases Research (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cancer Research (122 citations), Immunology (108 citations), Dermatology (29 citations), Oncology (83 citations) and Molecular Biology (194 citations). Sin-Ting Wang has collaborated with scholars based in Taiwan, Slovakia and Japan. Frequent co-authors include Jeng-Jer Shieh, Chun‐Ying Wu, Shi‐Wei Huang, Yi–Ju Chen, Hsiu J Ho, Jun‐Kai Kao, Jaw‐Town Lin, Shu-Hao Chang, Shu‐Mei Liang and Zhengyi Li. Their work appears in journals such as Journal of Dermatological Science, Journal of Investigative Dermatology, Oncotarget, Cell Death and Disease and Cancer Immunology Immunotherapy.

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.

Explore authors with similar magnitude of impact