Jose Da Silva

2.4k total citations
7 papers, 397 citations indexed

About

Jose Da Silva is a scholar working on Surgery, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jose Da Silva has authored 7 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Genetics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jose Da Silva's work include Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Jose Da Silva is often cited by papers focused on Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Jose Da Silva collaborates with scholars based in United States, Indonesia and Bahrain. Jose Da Silva's co-authors include Konstantinos E. Hatzistergos, Joshua M. Hare, Mark A. Sussman, Viky Y. Suncion, Benjamin Addicott, Azorides R. Morales, Alan W. Heldman, Adam Williams, Artiom Petrov and William C. Hartner and has published in prestigious journals such as Circulation, Stem Cells Translational Medicine and Journal of Nuclear Cardiology.

In The Last Decade

Jose Da Silva

5 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jose Da Silva United States	4	283	209	169	122	81	7	397
Julius B. Elmore United States	5	280 1.0×	209 1.0×	122 0.7×	122 1.0×	78 1.0×	6	390
Darcy L. Velazquez United States	5	263 0.9×	137 0.7×	213 1.3×	135 1.1×	76 0.9×	7	392
Benjamin Addicott United States	5	246 0.9×	168 0.8×	159 0.9×	115 0.9×	52 0.6×	7	375
Remco Koninckx Belgium	9	285 1.0×	163 0.8×	213 1.3×	142 1.2×	86 1.1×	10	398
Nele Lootens Belgium	2	248 0.9×	161 0.8×	247 1.5×	106 0.9×	69 0.9×	3	378
Andre Saad United States	4	243 0.9×	149 0.7×	167 1.0×	108 0.9×	73 0.9×	8	347
Marc Vanderheyden Belgium	3	357 1.3×	202 1.0×	289 1.7×	153 1.3×	94 1.2×	6	490
Piotr Musiałek Poland	6	310 1.1×	181 0.9×	217 1.3×	100 0.8×	149 1.8×	21	447
Peter Donndorf Germany	10	239 0.8×	125 0.6×	153 0.9×	102 0.8×	71 0.9×	28	359
Goditha U. Premaratne Japan	9	259 0.9×	119 0.6×	175 1.0×	122 1.0×	67 0.8×	17	381

Countries citing papers authored by Jose Da Silva

Since Specialization

Citations

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

Fields of papers citing papers by Jose Da Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jose Da Silva. 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 Jose Da Silva. The network helps show where Jose Da Silva may publish in the future.

Co-authorship network of co-authors of Jose Da Silva

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

All Works

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7 of 7 papers shown

1.

Christopher, Adam, Laura Olivieri, Jose Da Silva, et al.. (2024). Large Right Atrial Size on Cardiac MRI is Associated with Post-operative Right Ventricular Dysfunction After the Cone Operation for Ebstein Anomaly. Pediatric Cardiology. 46(6). 1702–1709. 1 indexed citations

2.

Alsaied, Tarek, Adam Christopher, Jose Da Silva, et al.. (2021). Cardiac MRI Predictors of Right Ventricular Dysfunction after the Da Silva Cone Operation for Ebstein's Anomaly. SSRN Electronic Journal. 1 indexed citations

3.

Silva, Jose Da, et al.. (2019). Effects of Pilot Injection Timing on The Engine Performance of A Diesel Dual Fuel Engine. 5(2).

4.

Oskouei, Behzad N., Guillaume Lamirault, Chacko Joseph, et al.. (2012). Increased Potency of Cardiac Stem Cells Compared with Bone Marrow Mesenchymal Stem Cells in Cardiac Repair. Stem Cells Translational Medicine. 1(2). 116–124. 71 indexed citations

5.

Williams, Adam, Konstantinos E. Hatzistergos, Benjamin Addicott, et al.. (2012). Enhanced Effect of Combining Human Cardiac Stem Cells and Bone Marrow Mesenchymal Stem Cells to Reduce Infarct Size and to Restore Cardiac Function After Myocardial Infarction. Circulation. 127(2). 213–223. 294 indexed citations

6.

Williams, Adam, Konstantinos E. Hatzistergos, Viky Y. Suncion, et al.. (2011). Abstract 13079: Synergistic Effect of Human Cardiac Stem Cells and Bone Marrow Mesenchymal Stem Cells to Reduce Infarct Size and Restore Cardiac Function. Circulation. 124(suppl_21). 4 indexed citations

7.

Khaw, Ban‐An, Jose Da Silva, Artiom Petrov, & William C. Hartner. (2002). Indium 111 antimyosin and Tc-99m glucaric acid for noninvasive identification of oncotic and apoptotic myocardial necrosis. Journal of Nuclear Cardiology. 9(5). 471–481. 26 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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