Pamela Mattar

18 total papers · 2.8k total citations
14 papers, 212 citations indexed

About

Pamela Mattar is a scholar working on Epidemiology, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Pamela Mattar has authored 14 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Endocrine and Autonomic Systems and 7 papers in Physiology. Recurrent topics in Pamela Mattar's work include Regulation of Appetite and Obesity (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Adipose Tissue and Metabolism (6 papers). Pamela Mattar is often cited by papers focused on Regulation of Appetite and Obesity (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Adipose Tissue and Metabolism (6 papers). Pamela Mattar collaborates with scholars based in Chile, United States and Israel. Pamela Mattar's co-authors include Mariana Cifuentes, Ximena Díaz, Sergio Lavandero, Roberto Bravo, Nicolás Tobar, Marcela Reyes, Claudio E. Perez‐Leighton, Nira Ben‐Jonathan, Cecilia Rojas and Assaf Rudich and has published in prestigious journals such as Nature Cell Biology, International Journal of Molecular Sciences and Archives of Biochemistry and Biophysics.

In The Last Decade

Pamela Mattar

14 papers receiving 209 citations

Author Peers

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

Author Last Decade Papers Cites
Pamela Mattar 75 74 64 60 26 14 212
Chia-Hsien Wu 46 0.6× 86 1.2× 40 0.6× 12 0.2× 52 2.0× 14 252
Taha Elajnaf 31 0.4× 73 1.0× 30 0.5× 24 0.4× 19 0.7× 12 259
Yihua He 31 0.4× 98 1.3× 26 0.4× 14 0.2× 10 0.4× 18 259
Maki Asada 52 0.7× 87 1.2× 18 0.3× 30 0.5× 6 0.2× 15 214
S. Bornstein 61 0.8× 66 0.9× 58 0.9× 24 0.4× 17 0.7× 18 273
Armando Sena 57 0.8× 66 0.9× 35 0.5× 42 0.7× 3 0.1× 21 261
Chenye Zeng 58 0.8× 81 1.1× 29 0.5× 9 0.1× 99 3.8× 11 278
Sadichha Sitaula 63 0.8× 55 0.7× 22 0.3× 65 1.1× 4 0.2× 10 182
Ling Yeong Chia 57 0.8× 150 2.0× 23 0.4× 8 0.1× 13 0.5× 13 257
Kosuke R. Shima 95 1.3× 43 0.6× 36 0.6× 106 1.8× 8 0.3× 17 231

Countries citing papers authored by Pamela Mattar

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Mattar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Mattar

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