Jasmine Wu

18 papers receiving 301 citations

Peers

Jasmine Wu
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 80
  • Genetics 26
  • Molecular Biology 163
  • Clinical Biochemistry 13
  • Physiology 42
Replace Congzhen Qiao with:
Congzhen Qiao China
Nolwenn Tessier France
Maoping Chu China
Jessica Smith United Kingdom
Gang Cheng China
Shuxia Wang China
Siti Aishah Sulaiman Malaysia
Francesco Canonico Italy
Akshar Patel United States
Raffaele Capoano Italy
Jasmine Wu relative to Congzhen Qiao China Congzhen Qiao's profile →
Citations per field
00.5×3.3×
Congzhen Qiao · 1×
Citations per year

Countries citing papers authored by Jasmine Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jasmine Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 201454
3 201441
4 202029
5 201826
6 202020
7 202112
8 201811
9 202111
10 202010
11 20227
12 20175
13 20175
14 20234
15 20243
16 20113
17 20232
18 20231
19 20240
20 20230

About Jasmine Wu

Jasmine Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Oncology and Genetics, having authored 21 papers that have together received 303 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Bone health and osteoporosis research (2 papers), Emergency and Acute Care Studies (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cardiovascular Function and Risk Factors (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Hospital Admissions and Outcomes (2 papers) and Patient Safety and Medication Errors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (80 citations), Genetics (26 citations), Molecular Biology (163 citations), Clinical Biochemistry (13 citations) and Physiology (42 citations). Jasmine Wu has collaborated with scholars based in Germany, Taiwan and United States. Frequent co-authors include P. Christian Schulze, Patrick C.H. Hsieh, Chun‐Keung Yu, Kenneth K. Wu, Mohamed M. Bekhite, Tarek Bekfani, Boris Greber, Chwan-Yau Luo, Maria Wartenberg and Tina Müller. Their work appears in journals such as International Journal of Molecular Sciences, The Joint Commission Journal on Quality and Patient Safety, Circulation Heart Failure, Circulation Research and International Journal of Environmental Research and Public Health.

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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