Carlos Robles‐Vidal

22 total papers · 414 total citations
16 papers, 320 citations indexed

About

Carlos Robles‐Vidal is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Carlos Robles‐Vidal has authored 16 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Surgery and 5 papers in Cancer Research. Recurrent topics in Carlos Robles‐Vidal's work include Colorectal Cancer Surgical Treatments (5 papers), Breast Cancer Treatment Studies (5 papers) and Surgical site infection prevention (5 papers). Carlos Robles‐Vidal is often cited by papers focused on Colorectal Cancer Surgical Treatments (5 papers), Breast Cancer Treatment Studies (5 papers) and Surgical site infection prevention (5 papers). Carlos Robles‐Vidal collaborates with scholars based in Mexico, United States and Spain. Carlos Robles‐Vidal's co-authors include Diana Vilar‐Compte, Patricia Volkow, Bénédicte Jacquemin, Norma Uribe, Heriberto Medina‐Franco, Rodrigo Roldán–Marín, Mariana Chávez‐MacGregor, Adela Poitevin‐Chacón, Carlos Ortiz‐Hidalgo and Silvia Vidal-Millán and has published in prestigious journals such as Annals of Surgical Oncology, Breast Cancer Research and Treatment and World Journal of Surgery.

In The Last Decade

Carlos Robles‐Vidal

15 papers receiving 302 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carlos Robles‐Vidal 193 114 74 54 30 16 320
Andrea Spanò 221 1.1× 87 0.8× 22 0.3× 51 0.9× 20 0.7× 21 363
William Hage 208 1.1× 32 0.3× 118 1.6× 34 0.6× 25 0.8× 10 323
Christopher Tokin 179 0.9× 86 0.8× 48 0.6× 45 0.8× 9 0.3× 14 300
John C. Aust 150 0.8× 39 0.3× 112 1.5× 34 0.6× 15 0.5× 18 363
Gustavo Zucca‐Matthes 195 1.0× 146 1.3× 112 1.5× 68 1.3× 10 0.3× 17 294
Eugénie Guillot 139 0.7× 132 1.2× 48 0.6× 174 3.2× 20 0.7× 17 327
Christoph Fussl 74 0.4× 196 1.7× 73 1.0× 103 1.9× 12 0.4× 13 267
Jean-Marc Cohen 117 0.6× 89 0.8× 59 0.8× 112 2.1× 20 0.7× 13 293
Chen‐Fang Hung 120 0.6× 71 0.6× 60 0.8× 33 0.6× 15 0.5× 19 261
Jongwon Lee 90 0.5× 138 1.2× 219 3.0× 16 0.3× 33 1.1× 24 335

Countries citing papers authored by Carlos Robles‐Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Robles‐Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Robles‐Vidal. 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 Robles‐Vidal. The network helps show where Carlos Robles‐Vidal may publish in the future.

Co-authorship network of co-authors of Carlos Robles‐Vidal

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

All Works

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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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