Carlos E. Soto

592 total citations
8 papers, 466 citations indexed

About

Carlos E. Soto is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Carlos E. Soto has authored 8 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Carlos E. Soto's work include Cardiac Valve Diseases and Treatments (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). Carlos E. Soto is often cited by papers focused on Cardiac Valve Diseases and Treatments (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). Carlos E. Soto collaborates with scholars based in United States and Spain. Carlos E. Soto's co-authors include Mahmoud Loghman‐Adham, Tadashi Inagami, Lisa A. Cassis, Surya M. Nauli, Jing Zhou, Jennifer K. Lodge, Maureen J. Donlin, Claude P. Selitrennikoff, Barbara Kariuki and Kimberly J. Gerik and has published in prestigious journals such as The Journal of Immunology, Molecular Microbiology and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Carlos E. Soto

8 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos E. Soto United States 7 220 168 116 91 76 8 466
Quentin B. Vincent France 9 210 1.0× 280 1.7× 175 1.5× 101 1.1× 15 0.2× 12 638
Cushla McKinney New Zealand 13 218 1.0× 157 0.9× 40 0.3× 125 1.4× 18 0.2× 15 488
Frauke Friedrichs Germany 10 121 0.6× 118 0.7× 80 0.7× 75 0.8× 24 0.3× 16 398
Denise Roden United Kingdom 7 115 0.5× 30 0.2× 58 0.5× 120 1.3× 93 1.2× 11 345
Boris K. Pliyev Russia 12 130 0.6× 24 0.1× 88 0.8× 168 1.8× 20 0.3× 17 412
Helene Larsen Denmark 10 221 1.0× 80 0.5× 32 0.3× 53 0.6× 8 0.1× 20 436
J. A. Makarova Russia 15 510 2.3× 24 0.1× 94 0.8× 59 0.6× 18 0.2× 37 710
Shadi Salloum United States 14 172 0.8× 28 0.2× 268 2.3× 85 0.9× 20 0.3× 25 604
Alberto Mota Portugal 11 80 0.4× 50 0.3× 96 0.8× 42 0.5× 9 0.1× 71 426
Helena Cucak Denmark 9 134 0.6× 81 0.5× 93 0.8× 390 4.3× 4 0.1× 13 598

Countries citing papers authored by Carlos E. Soto

Since Specialization
Citations

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

Fields of papers citing papers by Carlos E. Soto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos E. Soto. 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 Carlos E. Soto. The network helps show where Carlos E. Soto may publish in the future.

Co-authorship network of co-authors of Carlos E. Soto

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

All Works

8 of 8 papers shown
1.
Tang, Gilbert H.L., Steven J. Yakubov, & Carlos E. Soto. (2020). 4-Dimensional Intracardiac Echocardiography in Transcatheter Tricuspid Valve Repair With the MitraClip System. JACC. Cardiovascular imaging. 13(7). 1591–1600. 23 indexed citations
2.
Watson, Daniel, Steven J. Yakubov, Jefferson M. Lyons, et al.. (2017). Trans-subclavian approach for transcatheter aortic valve replacement. Annals of Cardiothoracic Surgery. 6(5). 565–567. 7 indexed citations
3.
Watson, Daniel, Steven J. Yakubov, Jefferson M. Lyons, et al.. (2017). Trans-subclavian approach for transcatheter aortic valve replacement. ASVIDE. 4. 494–494. 1 indexed citations
4.
Gerik, Kimberly J., et al.. (2005). Cell wall integrity is dependent on the PKC1 signal transduction pathway in Cryptococcus neoformans. Molecular Microbiology. 58(2). 393–408. 128 indexed citations
5.
Loghman‐Adham, Mahmoud, Carlos E. Soto, Tadashi Inagami, & Cirilo Sotelo‐Avila. (2005). Expression of Components of the Renin-angiotensin System in Autosomal Recessive Polycystic Kidney Disease. Journal of Histochemistry & Cytochemistry. 53(8). 979–988. 23 indexed citations
6.
Loghman‐Adham, Mahmoud, Carlos E. Soto, Tadashi Inagami, & Lisa A. Cassis. (2004). The intrarenal renin-angiotensin system in autosomal dominant polycystic kidney disease. American Journal of Physiology-Renal Physiology. 287(4). F775–F788. 110 indexed citations
7.
Loghman‐Adham, Mahmoud, Surya M. Nauli, Carlos E. Soto, Barbara Kariuki, & Jing Zhou. (2003). Immortalized epithelial cells from human autosomal dominant polycystic kidney cysts. American Journal of Physiology-Renal Physiology. 285(3). F397–F412. 78 indexed citations
8.
Dustin, Lynn B., David R. Plas, Jane Wong, et al.. (1999). Expression of Dominant-Negative Src-Homology Domain 2-Containing Protein Tyrosine Phosphatase-1 Results in Increased Syk Tyrosine Kinase Activity and B Cell Activation. The Journal of Immunology. 162(5). 2717–2724. 96 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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