Emily Tu

2.2k citations
18 papers · 368 · h-index 7

Impact in

Papers in

Emily Tu

16 papers receiving 363 citations

Peers

Emily Tu
Comparison fields: 5 of 44
  • Cardiology and Cardiovascular Medicine 168
  • Psychiatry and Mental health 94
  • Cellular and Molecular Neuroscience 57
  • Endocrinology, Diabetes and Metabolism 46
  • Endocrine and Autonomic Systems 16
Replace Carina Cutmore with:
Carina Cutmore Australia
Ramón Brugada Spain
Eduardo Locatelli United States
Gunilla Islander Sweden
Toru Nabika Japan
Katja Van Herle United States
Jorge E Celedonio United States
Antonella Spinelli Italy
Andrew Loesch United Kingdom
Pascal Sabouraud France
Emily Tu relative to Carina Cutmore Australia Carina Cutmore's profile →
Citations per field
00.5×5.8×
Carina Cutmore · 1×
Citations per year

Countries citing papers authored by Emily Tu

Since Specialization
Citations

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

Fields of papers citing papers by Emily Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010124
2 200859
3 201147
4 200845
5 200630
6 200922
7 199416
8 20185
9 20224
10 20224
11 20104
12 20242
13 20162
14 20152
15 20171
16 20161
17 20090
18 20220

About Emily Tu

Emily Tu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Cellular and Molecular Neuroscience and Radiation, having authored 18 papers that have together received 368 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Advanced Radiotherapy Techniques (2 papers), Ion channel regulation and function (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (168 citations), Psychiatry and Mental health (94 citations), Cellular and Molecular Neuroscience (57 citations), Endocrinology, Diabetes and Metabolism (46 citations) and Endocrine and Autonomic Systems (16 citations). Emily Tu has collaborated with scholars based in Australia, United States and Ireland. Frequent co-authors include Christopher Semsarian, Johan Duflou, Richard D. Bagnall, Stephen M. Twigg, Tatiana Tsoutsman, Lien Lam, J.G. Seidman, Marie A. Bogoyevitch, Dominic C.H. Ng and Christine E. Seidman. Their work appears in journals such as Journal of Clinical Oncology, Brain Pathology, Circulation, Journal of Clinical Densitometry and The Medical Journal of Australia.

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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