Alejandra C. Vivas

32 total papers · 842 total citations
19 papers, 498 citations indexed

About

Alejandra C. Vivas is a scholar working on Rehabilitation, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Alejandra C. Vivas has authored 19 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Rehabilitation, 9 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Alejandra C. Vivas's work include Wound Healing and Treatments (10 papers), Diagnosis and Treatment of Venous Diseases (9 papers) and Diabetic Foot Ulcer Assessment and Management (7 papers). Alejandra C. Vivas is often cited by papers focused on Wound Healing and Treatments (10 papers), Diagnosis and Treatment of Venous Diseases (9 papers) and Diabetic Foot Ulcer Assessment and Management (7 papers). Alejandra C. Vivas collaborates with scholars based in United States. Alejandra C. Vivas's co-authors include Robert S. Kirsner, Nicholas A. Richmond, Andrea D. Maderal, Martha H. Viera, Liza R. Braun, Sonia A. Lamel, Hadar Lev‐Tov, Brian Berman, Jennifer Tang and William H. Eaglstein and has published in prestigious journals such as Annals of Internal Medicine, The American Journal of Medicine and British Journal of Dermatology.

In The Last Decade

Alejandra C. Vivas

19 papers receiving 478 citations

Author Peers

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

Author Last Decade Papers Cites
Alejandra C. Vivas 316 194 145 101 96 19 498
Alan A Rogers 386 1.2× 195 1.0× 96 0.7× 150 1.5× 32 0.3× 34 527
M. Flanagan 321 1.0× 158 0.8× 156 1.1× 218 2.2× 25 0.3× 24 561
Henrik Steenfos 299 0.9× 210 1.1× 97 0.7× 64 0.6× 63 0.7× 21 555
Mary C. Crossland 415 1.3× 151 0.8× 266 1.8× 191 1.9× 25 0.3× 13 551
Finja Jockenhöfer 179 0.6× 159 0.8× 79 0.5× 82 0.8× 180 1.9× 33 492
Joseph V. Boykin 305 1.0× 131 0.7× 158 1.1× 79 0.8× 28 0.3× 21 566
Frank Werdin 262 0.8× 271 1.4× 56 0.4× 88 0.9× 20 0.2× 42 568
Joseph McCulloch 328 1.0× 304 1.6× 174 1.2× 146 1.4× 10 0.1× 14 566
Jiun‐Ting Yeh 114 0.4× 303 1.6× 166 1.1× 69 0.7× 22 0.2× 31 558
Connie Harris 215 0.7× 185 1.0× 79 0.5× 155 1.5× 18 0.2× 16 467

Countries citing papers authored by Alejandra C. Vivas

Since Specialization
Citations

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

Fields of papers citing papers by Alejandra C. Vivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandra C. Vivas. 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 Alejandra C. Vivas. The network helps show where Alejandra C. Vivas may publish in the future.

Co-authorship network of co-authors of Alejandra C. Vivas

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandra C. Vivas. A scholar is included among the top collaborators of Alejandra C. Vivas 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 Alejandra C. Vivas. Alejandra C. Vivas 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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