João J. Leite

427 total citations
8 papers, 317 citations indexed

About

João J. Leite is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, João J. Leite has authored 8 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in João J. Leite's work include Heart Failure Treatment and Management (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Cardiovascular Function and Risk Factors (2 papers). João J. Leite is often cited by papers focused on Heart Failure Treatment and Management (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Cardiovascular Function and Risk Factors (2 papers). João J. Leite collaborates with scholars based in Brazil, United Kingdom and United States. João J. Leite's co-authors include Alfredo José Mansur, Geraldo Lorenzi‐Filho, Mário Terra Filho, Humberto Felı́cio Gonçalves de Freitas, J. Alberto Neder, Edimar Alcides Bocchi, Protásio Lemos da Luz, Luiz V. Décourt, F Pileggi and José Cláudio Meneghetti and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and The American Journal of Cardiology.

In The Last Decade

João J. Leite

8 papers receiving 299 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
João J. Leite Brazil	7	240	113	88	64	34	8	317
Leon Hsu United States	7	383 1.6×	316 2.8×	116 1.3×	50 0.8×	29 0.9×	11	457
G. Vietzke Germany	3	275 1.1×	234 2.1×	136 1.5×	46 0.7×	28 0.8×	4	364
Eric J. M. Thijssen Netherlands	10	293 1.2×	189 1.7×	94 1.1×	83 1.3×	53 1.6×	15	397
R. Grover United States	7	210 0.9×	45 0.4×	168 1.9×	133 2.1×	47 1.4×	14	383
Michael F. O’Toole United States	10	700 2.9×	61 0.5×	47 0.5×	84 1.3×	8 0.2×	11	733
Toshikazu Sobue Japan	11	316 1.3×	23 0.2×	41 0.5×	65 1.0×	51 1.5×	25	389
Michael Wutte Austria	9	417 1.7×	39 0.3×	63 0.7×	82 1.3×	74 2.2×	17	482
M Echt Germany	5	154 0.6×	55 0.5×	45 0.5×	82 1.3×	77 2.3×	10	275
Nicola Rowley United Kingdom	7	315 1.3×	196 1.7×	33 0.4×	63 1.0×	63 1.9×	8	415
K. Sunagawa Japan	9	353 1.5×	25 0.2×	75 0.9×	107 1.7×	18 0.5×	19	432

Countries citing papers authored by João J. Leite

Since Specialization

Citations

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

Fields of papers citing papers by João J. Leite

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João J. Leite. 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 J. Leite. The network helps show where João J. Leite may publish in the future.

Co-authorship network of co-authors of João J. Leite

This figure shows the co-authorship network connecting the top 25 collaborators of João J. Leite. A scholar is included among the top collaborators of João J. Leite 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 J. Leite. João J. Leite is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Fernandes, Marcelo A. C., et al.. (2016). Respiratory pattern, thoracoabdominal motion and ventilation in chronic airway obstruction. Monaldi Archives for Chest Disease. 67(4). 209–16. 9 indexed citations

Salemi, Vera Maria Cury, et al.. (2008). Echocardiographic predictors of functional capacity in endomyocardial fibrosis patients. European Heart Journal - Cardiovascular Imaging. 10(3). 400–405. 14 indexed citations

Sampaio, Roney Orismar, Max Grinberg, João J. Leite, et al.. (2005). Effect of Enalapril on Left Ventricular Diameters and Exercise Capacity in Asymptomatic or Mildly Symptomatic Patients With Regurgitation Secondary to Mitral Valve Prolapse or Rheumatic Heart Disease. The American Journal of Cardiology. 96(1). 117–121. 22 indexed citations

Leite, João J., Alfredo José Mansur, Humberto Felı́cio Gonçalves de Freitas, et al.. (2003). Periodic breathing during incremental exercise predicts mortality in patients with chronic heart failure evaluated for cardiac transplantation. Journal of the American College of Cardiology. 41(12). 2175–2181. 145 indexed citations

Silva, Helga Cristina Almeida da, et al.. (1998). Teste de esforço cardioplumonar na avaliação de doenças musculares. Arquivos de Neuro-Psiquiatria. 56(2). 258–266. 2 indexed citations

Vargas, Francisco S., et al.. (1997). High-Resolution CT Scan in the Evaluation of Exercise-Induced Interstitial Pulmonary Edema in Cardiac Patients. CHEST Journal. 111(6). 1577–1582. 17 indexed citations

Moreira, Luíz Felipe Pinho, Noedir Antônio Groppo Stolf, E A Bocchi, et al.. (1990). Latissimus dorsi cardiomyoplasty in the treatment of patients with dilated cardiomyopathy.. PubMed. 82(5 Suppl). IV257–63. 63 indexed citations

Luz, Protásio Lemos da, et al.. (1980). Effect of verapamil on regional coronary and myocardial perfusion during acute coronary occlusion. The American Journal of Cardiology. 45(2). 269–275. 45 indexed citations

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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