Yanting Wang

773 citations
33 papers · 617 · h-index 15

Impact in

Papers in

    • Protein Tyrosine Phosphatases 2
    • Circular RNAs in diseases 2
    • Connective tissue disorders research 7

Yanting Wang

28 papers receiving 594 citations

Peers

Yanting Wang
Comparison fields: 5 of 92
  • Dermatology 62
  • Cell Biology 109
  • Cancer Research 67
  • Biochemistry 28
  • Genetics 124
Replace Kenta Shingaki with:
Kenta Shingaki Japan
Noriko Hattori Japan
Karen A. Squillace United States
Thomas R. Berton United States
Rui Han China
Bingyu Guo China
Riccardo Maurelli Italy
Gyuman Park South Korea
Megumi Tobiishi Japan
Yanting Wang relative to Kenta Shingaki Japan Kenta Shingaki's profile →
Citations per field
00.5×3.3×
Kenta Shingaki · 1×
Citations per year

Countries citing papers authored by Yanting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200890
2 200469
3 200650
4 200946
5 200740
6 201435
7 201934
8 200531
9 201130
10 201227
11 202425
12 201420
13 202119
14 201516
15 201814
16 200913
17 202410
18 202010
19 20239
20 20239

About Yanting Wang

Yanting Wang is a scholar working on Molecular Biology, Genetics, Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 617 indexed citations. Recurring topics across this work include Connective tissue disorders research (7 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Hormonal Regulation and Hypertension (2 papers), Protein Tyrosine Phosphatases (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), Skin Protection and Aging (2 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Dermatology (62 citations), Cell Biology (109 citations), Cancer Research (67 citations), Biochemistry (28 citations) and Genetics (124 citations). Yanting Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Aleksander Hinek, Kela Liu, Severa Bunda, Thomas N. Wight, Peter Liu, Andrew Wang, Sara Arab, Wanli Xie, Peter Liu and Andrew Wang. Their work appears in journals such as American Journal Of Pathology, Journal of Dermatological Science, Experimental Cell Research, Minerva Anestesiologica and Frontiers in Pharmacology.

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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