João A.C. Lima

77.2k citations
1.0k papers · 53.8k indexed · 17 hit papers · h-index 107
Topics
Cardiac Imaging and Diagnostics (479 papers)Cardiovascular Function and Risk Factors (394 papers)Advanced MRI Techniques and Applications (185 papers)
Partner nations
United StatesBrazilJapan

In The Last Decade

João A.C. Lima

984 papers receiving 52.7k citations

Hit Papers

Neurohumoral Features of Myocardial Stunning Due to Sudde...19982026200720162005200820061998200650010001.5k2.0k

Peers

João A.C. Lima
Comparison fields: 5 of 195
  • Cardiology and Cardiovascular Medicine 35.5k
  • Radiology, Nuclear Medicine and Imaging 23.3k
  • Surgery 9.3k
  • Pulmonary and Respiratory Medicine 6.6k
  • Biomedical Engineering 5.3k
Replace David A. Bluemke with:
David A. Bluemke United States
Thomas H. Marwick Australia
Michael H. Picard United States
Hugo A. Katus Germany
Roberto M. Lang United States
Udo Hoffmann United States
Patricia A. Pellikka United States
Jeroen J. Bax Netherlands
Amir Lerman United States
Leslee J. Shaw United States
João A.C. Lima relative to David A. Bluemke United States David A. Bluemke's profile →
Citations per field
00.5×1.5×
David A. Bluemke · 1×
Citations per year

Countries citing papers authored by João A.C. Lima

Since Specialization
Citations

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

Fields of papers citing papers by João A.C. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João A.C. Lima

This figure shows the co-authorship network connecting the top 25 collaborators of João A.C. Lima. A scholar is included among the top collaborators of João A.C. Lima 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 João A.C. Lima. João A.C. Lima 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
#WorkIndexed citations
1 2
2 2
3 1
4 0
5 1
6 1
7 1
8 1
9 1
10 11
11 93
12 129
13 135
14 14
15 129
16 36
17 10
18 325
19 3
20 311

About João A.C. Lima

João A.C. Lima is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 1.0k papers that have together received 53.8k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (479 papers), Cardiovascular Function and Risk Factors (394 papers) and Advanced MRI Techniques and Applications (185 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (35.5k citations), Radiology, Nuclear Medicine and Imaging (23.3k citations) and Surgery (9.3k citations). João A.C. Lima has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include David A. Bluemke, Kathérine C. Wu, Richard A. Kronmal, Gregory L. Burke, Bharath Ambale‐Venkatesh, Roger S. Blumenthal, Colin O. Wu, Steven P. Schulman, Carlos Eduardo Rochitte and Albert C. Lardo. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.

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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