Verónica Mujica

33 total papers · 842 total citations
26 papers, 653 citations indexed

About

Verónica Mujica is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Verónica Mujica has authored 26 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Verónica Mujica's work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Health and Lifestyle Studies (5 papers) and Bee Products Chemical Analysis (3 papers). Verónica Mujica is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Health and Lifestyle Studies (5 papers) and Bee Products Chemical Analysis (3 papers). Verónica Mujica collaborates with scholars based in Chile, United States and Venezuela. Verónica Mujica's co-authors include Elba Leiva, Roxana Orrego, Iván Palomo, Miguel Arredondo, Gloria Icaza, Marcelo Alarcón, Jessica Zúñiga‐Hernández, Germán Íñiguez, Patricia López and Ethel Codner and has published in prestigious journals such as Human Reproduction, Diabetes Research and Clinical Practice and Journal of Functional Foods.

In The Last Decade

Verónica Mujica

26 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
Verónica Mujica 187 132 108 107 93 26 653
Elba Leiva 144 0.8× 67 0.5× 86 0.8× 175 1.6× 82 0.9× 24 674
Zohreh Amiri 99 0.5× 131 1.0× 39 0.4× 20 0.2× 138 1.5× 40 749
Mahsa Malekahmadi 79 0.4× 117 0.9× 32 0.3× 67 0.6× 122 1.3× 61 711
Ainul Bahiyah Abu Bakar 189 1.0× 62 0.5× 18 0.2× 229 2.1× 92 1.0× 28 753
Davood Soleimani 81 0.4× 82 0.6× 20 0.2× 91 0.9× 91 1.0× 48 671
Eralda Asllanaj 183 1.0× 142 1.1× 96 0.9× 8 0.1× 63 0.7× 21 746
Helen B. Brown 151 0.8× 132 1.0× 73 0.7× 14 0.1× 128 1.4× 42 775
Phillip Bwititi 218 1.2× 46 0.3× 59 0.5× 13 0.1× 86 0.9× 75 670
Samantha Maurotti 103 0.6× 122 0.9× 55 0.5× 10 0.1× 154 1.7× 44 660
Ammar Salehi‐Sahlabadi 200 1.1× 126 1.0× 43 0.4× 16 0.1× 229 2.5× 40 772

Countries citing papers authored by Verónica Mujica

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Mujica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verónica Mujica. 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 Verónica Mujica. The network helps show where Verónica Mujica may publish in the future.

Co-authorship network of co-authors of Verónica Mujica

This figure shows the co-authorship network connecting the top 25 collaborators of Verónica Mujica. A scholar is included among the top collaborators of Verónica Mujica 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 Verónica Mujica. Verónica Mujica 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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