R Valdés-González

468 total citations
10 papers, 339 citations indexed

About

R Valdés-González is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, R Valdés-González has authored 10 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Genetics and 1 paper in Molecular Biology. Recurrent topics in R Valdés-González's work include Pancreatic function and diabetes (8 papers), Xenotransplantation and immune response (8 papers) and Diabetes and associated disorders (3 papers). R Valdés-González is often cited by papers focused on Pancreatic function and diabetes (8 papers), Xenotransplantation and immune response (8 papers) and Diabetes and associated disorders (3 papers). R Valdés-González collaborates with scholars based in Mexico, Canada and China. R Valdés-González's co-authors include L Dorantes, Eduardo Bracho‐Blanchet, David J. White, Luis M. Terán, Roberto Dávila-Pérez, Ana Lilia Rodríguez-Ventura, Armando J. Mendez, Robert B. Elliott, Christopher E. Ormsby and Jorge‐Tonatiuh Ayala‐Sumuano and has published in prestigious journals such as European Journal of Endocrinology, Clinical & Experimental Immunology and Journal of Medical Virology.

In The Last Decade

R Valdés-González

10 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Valdés-González Mexico 8 315 160 87 54 43 10 339
Marie Chintinne Belgium 7 296 0.9× 176 1.1× 180 2.1× 97 1.8× 31 0.7× 9 389
Adrián Abalovich Argentina 8 396 1.3× 248 1.6× 98 1.1× 70 1.3× 37 0.9× 11 422
T Aasheim United States 5 479 1.5× 246 1.5× 89 1.0× 82 1.5× 69 1.6× 9 498
Jose Cano United States 3 362 1.1× 205 1.3× 53 0.6× 61 1.1× 46 1.1× 4 393
Julia K. Panzer United States 6 196 0.6× 137 0.9× 127 1.5× 54 1.0× 7 0.2× 10 248
G Korbutt Canada 8 326 1.0× 174 1.1× 56 0.6× 64 1.2× 35 0.8× 9 340
Kate R. Mueller United States 8 159 0.5× 72 0.5× 56 0.6× 33 0.6× 40 0.9× 17 174
Natalie K. Brown United States 4 82 0.3× 42 0.3× 55 0.6× 39 0.7× 9 0.2× 5 148
Hazem Ibrahim Finland 8 127 0.4× 80 0.5× 52 0.6× 90 1.7× 4 0.1× 15 197
Maria Beery United States 9 219 0.7× 180 1.1× 156 1.8× 46 0.9× 5 0.1× 11 263

Countries citing papers authored by R Valdés-González

Since Specialization
Citations

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

Fields of papers citing papers by R Valdés-González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R Valdés-González. 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 R Valdés-González. The network helps show where R Valdés-González may publish in the future.

Co-authorship network of co-authors of R Valdés-González

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

All Works

10 of 10 papers shown
1.
Rodríguez-Ventura, Ana Lilia, et al.. (2011). Correlation between insulin requirements and anti-galactose antibodies in patients with type 1 diabetes transplanted with neonatal pig islets. Clinical & Experimental Immunology. 165(1). 104–109. 7 indexed citations
2.
Valdés-González, R, et al.. (2010). Long-term follow-up of patients with type 1 diabetes transplanted with neonatal pig islets. Clinical & Experimental Immunology. 162(3). 537–542. 51 indexed citations
3.
Valdés-González, R, et al.. (2009). No evidence of porcine endogenous retrovirus in patients with type 1 diabetes after long‐term porcine islet xenotransplantation. Journal of Medical Virology. 82(2). 331–334. 57 indexed citations
4.
Valdés-González, R, L Dorantes, Eduardo Bracho‐Blanchet, et al.. (2007). Unexpected Immunoresponse to Gal and APA Antigens in Diabetic Type 1 Patients Receiving Neonatal Pig Islets After 6 Years. Journal of Clinical Immunology. 27(3). 266–274. 7 indexed citations
5.
Valdés-González, R, David J. White, L Dorantes, et al.. (2007). Three‐yr follow‐up of a type 1 diabetes mellitus patient with an islet xenotransplant. Clinical Transplantation. 21(3). 352–357. 32 indexed citations
6.
Valdés-González, R. (2006). Reply to Sykes and Cozzi: ‘Xenotransplantation of porcine neonatal islets of Langerhans and Sertolli cells’. European Journal of Endocrinology. 154(6). 923–923. 1 indexed citations
7.
Valdés-González, R. (2006). Reply to ‘Islet xenotransplantation clinical trial: does histology show islet cells?’. European Journal of Endocrinology. 154(6). 919–919. 1 indexed citations
8.
Valdés-González, R, et al.. (2005). Method for evaluating quality of cultured neonatal pig Sertoli cells. Xenotransplantation. 12(4). 316–323. 16 indexed citations
9.
Valdés-González, R, L Dorantes, Eduardo Bracho‐Blanchet, et al.. (2005). Xenotransplantation of porcine neonatal islets of Langerhans and Sertoli cells: a 4-year study. European Journal of Endocrinology. 153(3). 419–427. 156 indexed citations
10.
Valdés-González, R, et al.. (2005). Improved method for isolation of porcine neonatal pancreatic cell clusters. Xenotransplantation. 12(3). 240–244. 11 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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