Tina Morrison

28 papers receiving 1.4k citations

Tina Morrison's Hit Papers

Precision medicine in human heart modeling 2021 · 143 citations
1430+1+3Years since publication4080120

Peers

Tina Morrison
Comparison fields: 5 of 135
  • Health Informatics 23
  • Cardiology and Cardiovascular Medicine 258
  • Pulmonary and Respiratory Medicine 317
  • Surgery 296
  • Biomedical Engineering 296
Replace Paul D. Docherty with:
Paul D. Docherty New Zealand
Pras Pathmanathan United States
Paolo Barbini Italy
Lorenzo L. Pesce United States
Michael W. Gee Germany
Patricia V. Lawford United Kingdom
Wouter Huberts Netherlands
James Nichols United States
Tiziano Passerini United States
D. Rodney Hose United Kingdom
Tina Morrison relative to Paul D. Docherty New Zealand Paul D. Docherty's profile →
Citations per field
00.5×2.6×
Paul D. Docherty · 1×
Citations per year

Countries citing papers authored by Tina Morrison

Since Specialization
Citations

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

Fields of papers citing papers by Tina Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012160
2 2011143
3
Precision medicine in human heart modeling
Hit paper breakdown →
2021143
4 2009135
5 2019119
6 2018109
7 201882
8 201374
9 202071
10 201755
11 201752
12 201944
13 200542
14 200741
15 201936
16 201932
17 201723
18 200222
19 200514
20 20174

About Tina Morrison

Tina Morrison is a scholar working on Surgery, Biomedical Engineering, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Statistical and Nonlinear Physics, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (5 papers), Aortic Disease and Treatment Approaches (3 papers), Quantum chaos and dynamical systems (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Healthcare Technology and Patient Monitoring (3 papers), Biomedical and Engineering Education (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Health Informatics (23 citations), Cardiology and Cardiovascular Medicine (258 citations), Pulmonary and Respiratory Medicine (317 citations), Surgery (296 citations) and Biomedical Engineering (296 citations). Tina Morrison has collaborated with scholars based in United States, Thailand and Switzerland. Frequent co-authors include Richard H. Rand, Pras Pathmanathan, Ahmet Erdemir, Mark F. Fillinger, Jason P. Halloran, Dorothy Abel, Matthew P. Sweet, Gilwoo Choi, Charles A. Taylor and Christopher K. Zarins. Their work appears in journals such as Journal of Vascular Surgery, Nonlinear Dynamics, CPT Pharmacometrics & Systems Pharmacology, Journal of Biomechanical Engineering and The Journal of the Acoustical Society of America.

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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