Xuanting Wang

498 citations
11 papers · 389 · h-index 9

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • Mass Spectrometry Techniques and Applications 2
    • Advanced Proteomics Techniques and Applications 1

Xuanting Wang

10 papers receiving 383 citations

Peers

Xuanting Wang
Comparison fields: 5 of 40
  • Infectious Diseases 156
  • Inorganic Chemistry 91
  • Nutrition and Dietetics 29
  • Computational Theory and Mathematics 24
  • Biomedical Engineering 34
Replace Sara Centeno‐Leija with:
Sara Centeno‐Leija Mexico
Prasad K. Deshpande India
Xiaowen Lv China
Kiran Kumar Mudnakudu-Nagaraju India
Michael J. Szymonifka United States
Balaji Gowrivel Vijayakumar India
Deepthi Ramesh India
Renganathan Senthil India
Xuanting Wang relative to Sara Centeno‐Leija Mexico Sara Centeno‐Leija's profile →
Citations per field
00.5×2×4×5.7×
Sara Centeno‐Leija · 1×
Citations per year

Countries citing papers authored by Xuanting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuanting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2015114
2 202181
3 202253
4 202238
5 202036
6 202420
7 202017
8 202215
9 202210
10 20215
11 20260

About Xuanting Wang

Xuanting Wang is a scholar working on Infectious Diseases, Spectroscopy, Nutrition and Dietetics, Molecular Biology and Inorganic Chemistry, having authored 11 papers that have together received 389 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), RNA modifications and cancer (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Zeolite Catalysis and Synthesis (1 paper), Synthesis of Organic Compounds (1 paper), Carbon and Quantum Dots Applications (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Flavonoids in Medical Research (1 paper). The work is most often cited by research in Infectious Diseases (156 citations), Inorganic Chemistry (91 citations), Nutrition and Dietetics (29 citations), Computational Theory and Mathematics (24 citations) and Biomedical Engineering (34 citations). Xuanting Wang has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Zhuopeng Wang, Chun‐Chih Chang, Hong Je Cho, Wei Fan, James J. Russo, Jingyue Ju, Carolina Q. Sacramento, Jairo Ramos Temerozo, Natalia Fintelman Rodrigues and Otávio Augusto Chaves. Their work appears in journals such as Viruses, ACS Chemical Biology, Communications Biology, Journal of the American Chemical Society and Green Chemistry.

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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