Brian Lima

102 papers receiving 2.6k citations

Peers

Brian Lima
Comparison fields: 5 of 102
  • Transplantation 90
  • Emergency Medicine 265
  • Cardiology and Cardiovascular Medicine 559
  • Surgery 1.0k
  • Biochemistry 131
Replace Tomoko S. Kato with:
Tomoko S. Kato Japan
J. David Vega United States
Aron‐Frederik Popov Germany
Barry K. Rayburn United States
Jayan Nagendran Canada
Brian D. Lowes United States
Hubert Schelzig Germany
Amrut V. Ambardekar United States
Brett C. Sheridan United States
Shreekanth V. Karwande United States
Brian Lima relative to Tomoko S. Kato Japan Tomoko S. Kato's profile →
Citations per field
00.5×2.8×
Tomoko S. Kato · 1×
Citations per year

Countries citing papers authored by Brian Lima

Since Specialization
Citations

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

Fields of papers citing papers by Brian Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010400
2 2009191
3 2006115
4 201695
5 201692
6 201689
7 201786
8 201383
9 201282
10 200673
11 201666
12 201058
13 201256
14 201748
15 201647
16 201844
17 201543
18 201042
19
Nonsurgical management of left main coronary artery aneurysms: report of 2 cases and review of the literature.
200642
20 200741

About Brian Lima

Brian Lima is a scholar working on Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Emergency Medicine and Pulmonary and Respiratory Medicine, having authored 110 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (48 papers), Cardiac Structural Anomalies and Repair (27 papers), Transplantation: Methods and Outcomes (27 papers), Cardiac Arrest and Resuscitation (15 papers), Organ Transplantation Techniques and Outcomes (8 papers), Aortic Disease and Treatment Approaches (8 papers), Cardiac Valve Diseases and Treatments (8 papers) and Cardiac pacing and defibrillation studies (7 papers). The work is most often cited by research in Transplantation (90 citations), Emergency Medicine (265 citations), Cardiology and Cardiovascular Medicine (559 citations), Surgery (1.0k citations) and Biochemistry (131 citations). Brian Lima has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Jonathan S. Stamler, Douglas T. Hess, Michael T. Forrester, Gonzalo V. Gonzalez‐Stawinski, Shelley Hall, J. Michael DiMaio, John J. Squiers, Carmelo A. Milano, Susan Joseph and Themistokles Chamogeorgakis. Their work appears in journals such as The Journal of Heart and Lung Transplantation, The Annals of Thoracic Surgery, The American Journal of Cardiology, Journal of Thoracic and Cardiovascular Surgery and ASAIO Journal.

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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