Brian D. Lima

126 papers receiving 3.3k citations

Peers

Brian D. Lima
Comparison fields: 5 of 108
  • Transplantation 115
  • Emergency Medicine 324
  • Cardiology and Cardiovascular Medicine 784
  • Surgery 1.4k
  • Biomedical Engineering 970
Replace David J. Kaczorowski with:
David J. Kaczorowski United States
Jayan Nagendran Canada
Aron‐Frederik Popov Germany
Barry K. Rayburn United States
Amrut V. Ambardekar United States
Steven L. Hsu United States
Susan C. Brozena United States
Hubert Schelzig Germany
John A. Schirger United States
Robert G. Presson United States
Brian D. Lima relative to David J. Kaczorowski United States David J. Kaczorowski's profile →
Citations per field
00.5×2×3.4×
David J. Kaczorowski · 1×
Citations per year

Countries citing papers authored by Brian D. Lima

Since Specialization
Citations

This map shows the geographic impact of Brian D. 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 D. 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 D. Lima more than expected).

Fields of papers citing papers by Brian D. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010427
2 2009201
3 2013161
4 2006129
5 2016112
6 2016112
7 2016107
8 201797
9 201394
10 201290
11 201387
12 202278
13 200674
14 201270
15 201667
16 201064
17 201557
18 201855
19 201654
20 201752

About Brian D. Lima

Brian D. Lima is a scholar working on Surgery, Emergency Medicine, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Transplantation, having authored 142 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (54 papers), Transplantation: Methods and Outcomes (45 papers), Cardiac Structural Anomalies and Repair (32 papers), Cardiac Arrest and Resuscitation (19 papers), Cardiac Valve Diseases and Treatments (12 papers), Organ Transplantation Techniques and Outcomes (11 papers), Aortic Disease and Treatment Approaches (10 papers) and Cardiac pacing and defibrillation studies (7 papers). The work is most often cited by research in Transplantation (115 citations), Emergency Medicine (324 citations), Cardiology and Cardiovascular Medicine (784 citations), Surgery (1.4k citations) and Biomedical Engineering (970 citations). Brian D. Lima has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan S. Stamler, Michael T. Forrester, Douglas T. Hess, Gonzalo V. Gonzalez‐Stawinski, SHELLEY A. HALL, John Michael DiMaio, John J. Squiers, Susan M Joseph, Carmelo A. Milano and Themistokles P. Chamogeorgakis. Their work appears in journals such as The Journal of Heart and Lung Transplantation, The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, The American Journal of Cardiology and American Journal of Transplantation.

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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