Victoria Tea

435 total citations
20 papers, 211 citations indexed

About

Victoria Tea is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Victoria Tea has authored 20 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Infectious Diseases. Recurrent topics in Victoria Tea's work include Acute Myocardial Infarction Research (9 papers), Cardiac Imaging and Diagnostics (7 papers) and COVID-19 Clinical Research Studies (5 papers). Victoria Tea is often cited by papers focused on Acute Myocardial Infarction Research (9 papers), Cardiac Imaging and Diagnostics (7 papers) and COVID-19 Clinical Research Studies (5 papers). Victoria Tea collaborates with scholars based in France, United States and Switzerland. Victoria Tea's co-authors include Nicolas Danchin, Étienne Puymirat, Antoine Fayol, Marine Livrozet, Jean‐Sébastien Hulot, Tabassome Simon, Rosa María Bruno, Pierre Boutouyrie, Hakim Khettab and Alice Hutin and has published in prestigious journals such as European Heart Journal, Resuscitation and BMC Medical Education.

In The Last Decade

Victoria Tea

19 papers receiving 208 citations

Peers

Victoria Tea
Comparison fields: 5 of 51
  • Cardiology and Cardiovascular Medicine 98
  • Emergency Medicine 52
  • Infectious Diseases 50
  • Surgery 46
  • Biomedical Engineering 36
Dimitrios Poulikakos United Kingdom
Christine Rutan United States
Daniela R. Crousillat United States
Muhammad Yamin Indonesia
Stefano Paglia Italy
Syeda Anum Zahra United Kingdom
Alessandro Ortalda Italy
Spencer Carter United States
F. C. Oglesby United Kingdom
Lowell H. Frank United States
Dimitrios Poulikakos United Kingdom View profile →
Citations per field, relative to Victoria Tea
Victoria Tea · 1×
Citations per year, relative to Victoria Tea
Victoria Tea · 1×

Countries citing papers authored by Victoria Tea

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Tea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Tea

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Tea. A scholar is included among the top collaborators of Victoria Tea based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victoria Tea. Victoria Tea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 0
3 1
4 3
5 3
6 2
7 1
8 3
9 35
10 11
11 6
12 40
13 16
14 1
15 4
16 12
17 1
18 14
19 10
20 41

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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