Serena Wang

17 papers receiving 252 citations

Peers

Serena Wang
Comparison fields: 5 of 90
  • Health 30
  • Endocrinology, Diabetes and Metabolism 53
  • Neuropsychology and Physiological Psychology 4
  • Pharmacy 13
  • Applied Psychology 12
Replace Д. В. Денисова with:
Д. В. Денисова Russia
Wen-Fang Zhong China
Marc Casajuana‐Closas Spain
Huiqi Li Singapore
Foteini Anastasiou Greece
Wen-Fang Zhong China
Minzhi Xu China
Fatemeh Kiani Iran
David E. Kloecker United Kingdom
Allison Rabkin Golden China
Serena Wang relative to Д. В. Денисова Russia Д. В. Денисова's profile →
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Citations per year

Countries citing papers authored by Serena Wang

Since Specialization
Citations

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

Fields of papers citing papers by Serena Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014124
2 200824
3 201722
4 201719
5 202116
6 202313
7 202312
8 20207
9 20206
10 20146
11 20251
12
Deontological Ethics By Monotonicity Shape Constraints
20201
13 20241
14 20141
15 20211
16 20211
17
A regional exploration of pathways toward harmonization of math & science curriculum in the East African Community
20111

About Serena Wang

Serena Wang is a scholar working on Physiology, Surgery, Molecular Biology, Health and Neurology, having authored 17 papers that have together received 256 indexed citations. Recurring topics across this work include Health disparities and outcomes (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Long-Term Effects of COVID-19 (1 paper), Diabetes Management and Research (1 paper), Higher Education Practises and Engagement (1 paper), Online Learning and Analytics (1 paper), Psychology of Moral and Emotional Judgment (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Health (30 citations), Endocrinology, Diabetes and Metabolism (53 citations), Neuropsychology and Physiological Psychology (4 citations), Pharmacy (13 citations) and Applied Psychology (12 citations). Serena Wang has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Nikhil Bassi, Neil J. Stone, Ilya Karagodin, Elaine Massaro, Patricia Vassallo, Jinkook Lee, Peifeng Hu, Aikaterini Kassavou, Drystan Phillips and Sunil Kochhar. Their work appears in journals such as Journal of American Association for Pediatric Ophthalmology and Strabismus, The American Journal of Medicine, Respiratory Research, International Journal of Public Health and Seminars in Ophthalmology.

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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