Yuting Wang

1.0k citations
41 papers · 816 · h-index 17

Impact in

Papers in

Yuting Wang

39 papers receiving 799 citations

Peers

Yuting Wang
Comparison fields: 5 of 114
  • Cancer Research 172
  • Clinical Biochemistry 65
  • Rehabilitation 52
  • Dermatology 57
  • Toxicology 21
Replace Thikryat Neamatallah with:
Thikryat Neamatallah Saudi Arabia
Hee‐Jung Choi South Korea
Zhixu Ni Germany
Jin‐Nyoung Ho South Korea
Ajantha Sinniah Malaysia
Shengnan Wang China
Anita Thyagarajan United States
Jiankun Song China
Warner B. Bair United States
Caifeng Xie China
Yuting Wang relative to Thikryat Neamatallah Saudi Arabia Thikryat Neamatallah's profile →
Citations per field
00.5×2×3×4.3×
Thikryat Neamatallah · 1×
Citations per year

Countries citing papers authored by Yuting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201370
2 202061
3 202260
4 201357
5 201955
6 201453
7 201545
8 202240
9 201838
10 202235
11 201933
12 201923
13 202022
14 201621
15 201821
16
BAMBI inhibits skin fibrosis in keloid through suppressing TGF-β1-induced hypernomic fibroblast cell proliferation and excessive accumulation of collagen I.
201520
17 202017
18 202217
19 201914
20 202213

About Yuting Wang

Yuting Wang is a scholar working on Cancer Research, Rehabilitation, Molecular Biology, Dermatology and Clinical Biochemistry, having authored 41 papers that have together received 816 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Edible Oils Quality and Analysis (4 papers), RNA Research and Splicing (4 papers), Wound Healing and Treatments (4 papers), Potato Plant Research (4 papers), Dermatologic Treatments and Research (3 papers), Advanced Glycation End Products research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (172 citations), Clinical Biochemistry (65 citations), Rehabilitation (52 citations), Dermatology (57 citations) and Toxicology (21 citations). Yuting Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Huiyu Hu, Mingyong Xie, Shao-Ping Nie, Mingyue Shen, Yousheng Huang, Xiumei Liu, Yong Huang, Chang Li, Shen‐Nien Wang and Liwei Zhuang. Their work appears in journals such as Food Research International, Foods, Cancer Science, International Journal of Molecular Medicine and Cellular Physiology and Biochemistry.

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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