Margarida Caldeira

26 total papers · 1.2k total citations
12 papers, 976 citations indexed

About

Margarida Caldeira is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Margarida Caldeira has authored 12 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Margarida Caldeira's work include Ubiquitin and proteasome pathways (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Margarida Caldeira is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Margarida Caldeira collaborates with scholars based in Portugal, United States and Italy. Margarida Caldeira's co-authors include Carlos B. Duarte, Ana Luı́sa Carvalho, Sandra D. Santos, Carlos V. Melo, Ricardo Fernandes Carvalho, Daniela Baptista, Ivan L. Salazar, Michele Curcio, Lorella M.T. Canzoniero and Susana S. Correia and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Neuroscience.

In The Last Decade

Margarida Caldeira

10 papers receiving 959 citations

Author Peers

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

Author						Papers	Cites
Margarida Caldeira	620	345	221	141	126	12	976
Stefanie Rauskolb	671 1.1×	286 0.8×	405 1.8×	93 0.7×	114 0.9×	9	933
Dao‐Yao He	864 1.4×	506 1.5×	228 1.0×	148 1.0×	130 1.0×	18	1.2k
Maxime Cazorla	762 1.2×	408 1.2×	130 0.6×	121 0.9×	146 1.2×	16	1.1k
Guanhua Yu	581 0.9×	260 0.8×	278 1.3×	152 1.1×	146 1.2×	14	907
Emily G. Waterhouse	471 0.8×	207 0.6×	299 1.4×	210 1.5×	103 0.8×	9	942
Daisaku Yokomaku	494 0.8×	387 1.1×	176 0.8×	109 0.8×	84 0.7×	20	955
Thierry Deltheil	581 0.9×	295 0.9×	111 0.5×	138 1.0×	108 0.9×	15	955
Helmut Krebs	606 1.0×	315 0.9×	165 0.7×	68 0.5×	116 0.9×	13	1.1k
Giselind Adelmann	665 1.1×	324 0.9×	307 1.4×	170 1.2×	158 1.3×	13	1.2k
Maryna Baydyuk	455 0.7×	348 1.0×	253 1.1×	98 0.7×	81 0.6×	19	901

Countries citing papers authored by Margarida Caldeira

Since Specialization

Citations

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

Fields of papers citing papers by Margarida Caldeira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margarida Caldeira

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