Carmen Penido

58 total papers · 2.1k total citations
50 papers, 1.8k citations indexed

About

Carmen Penido is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Carmen Penido has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Immunology and 9 papers in Physiology. Recurrent topics in Carmen Penido's work include Phytochemical compounds biological activities (9 papers), Immune Cell Function and Interaction (7 papers) and Immune Response and Inflammation (7 papers). Carmen Penido is often cited by papers focused on Phytochemical compounds biological activities (9 papers), Immune Cell Function and Interaction (7 papers) and Immune Response and Inflammation (7 papers). Carmen Penido collaborates with scholars based in Brazil, United States and United Kingdom. Carmen Penido's co-authors include Maria das Graças Henriques, Maria Fernanda de Souza Costa, Thadeu Estevam Moreira Maramaldo Costa, Patrı́cia T. Bozza, Hugo C. Castro‐Faria‐Neto, Karina A. Costa, Nulgumnalli Manjunathaiah Raghavendra, Antônio Carlos Siani, Fernando Q. Cunha and Waldiceu A. Verri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Carmen Penido

48 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Carmen Penido 667 514 238 172 168 50 1.8k
Xue Lei 1.2k 1.8× 234 0.5× 230 1.0× 183 1.1× 204 1.2× 50 2.3k
Sing‐Chung Li 922 1.4× 306 0.6× 243 1.0× 258 1.5× 190 1.1× 56 2.0k
Massimo Bortolotti 895 1.3× 641 1.2× 170 0.7× 111 0.6× 58 0.3× 60 2.2k
Jacob Gopas 694 1.0× 318 0.6× 246 1.0× 141 0.8× 100 0.6× 112 1.9k
Marion M. Chan 795 1.2× 555 1.1× 138 0.6× 131 0.8× 181 1.1× 34 2.3k
Marco Giaisi 1.1k 1.6× 509 1.0× 130 0.5× 118 0.7× 104 0.6× 36 2.0k
Jianping Zuo 714 1.1× 457 0.9× 68 0.3× 139 0.8× 124 0.7× 49 1.6k
Jae Seung Kang 631 0.9× 422 0.8× 150 0.6× 107 0.6× 65 0.4× 97 2.3k
Pei‐Lan He 690 1.0× 476 0.9× 173 0.7× 67 0.4× 225 1.3× 40 2.1k
Mamoru Totsuka 726 1.1× 570 1.1× 157 0.7× 321 1.9× 123 0.7× 74 2.1k

Countries citing papers authored by Carmen Penido

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Penido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Penido

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Penido. A scholar is included among the top collaborators of Carmen Penido 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 Carmen Penido. Carmen Penido 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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2026