Cândida Z. Cotrim

421 total citations
8 papers, 339 citations indexed

About

Cândida Z. Cotrim is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Cândida Z. Cotrim has authored 8 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Cândida Z. Cotrim's work include Metabolomics and Mass Spectrometry Studies (2 papers), Estrogen and related hormone effects (2 papers) and Lipid Membrane Structure and Behavior (2 papers). Cândida Z. Cotrim is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Estrogen and related hormone effects (2 papers) and Lipid Membrane Structure and Behavior (2 papers). Cândida Z. Cotrim collaborates with scholars based in Portugal, United States and Sweden. Cândida Z. Cotrim's co-authors include Luísa A. Helguero, M. Luísa Dória, Pedro Domíngues, M. Rosário Domingues, Cláudia Simões, Bárbara Macedo, Francisco Amado, Claudia Lanari, Victoria Fabris and J Gustafsson and has published in prestigious journals such as Oncogene, The FASEB Journal and Journal of Cellular Physiology.

In The Last Decade

Cândida Z. Cotrim

8 papers receiving 336 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cândida Z. Cotrim Portugal	7	218	104	59	54	50	8	339
Muralidhararao Bagadi India	6	237 1.1×	106 1.0×	23 0.4×	51 0.9×	55 1.1×	18	316
Kei Koizumi Japan	9	219 1.0×	124 1.2×	44 0.7×	45 0.8×	21 0.4×	17	326
Ellen Karasik United States	11	207 0.9×	59 0.6×	59 1.0×	14 0.3×	30 0.6×	22	361
Nicky Whalley United Kingdom	7	271 1.2×	57 0.5×	77 1.3×	45 0.8×	35 0.7×	8	421
Jingyang He China	11	222 1.0×	59 0.6×	55 0.9×	14 0.3×	40 0.8×	21	324
Amy M. Hicks United States	7	141 0.6×	31 0.3×	100 1.7×	26 0.5×	27 0.5×	7	394
Renee C. Geck United States	8	258 1.2×	122 1.2×	41 0.7×	13 0.2×	38 0.8×	15	383
Joshua Ogony United States	9	178 0.8×	77 0.7×	108 1.8×	14 0.3×	24 0.5×	14	357
Steve Stirdivant United States	4	422 1.9×	300 2.9×	52 0.9×	33 0.6×	17 0.3×	4	601
Renee E. Vickman United States	11	202 0.9×	121 1.2×	104 1.8×	13 0.2×	28 0.6×	17	465

Countries citing papers authored by Cândida Z. Cotrim

Since Specialization

Citations

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

Fields of papers citing papers by Cândida Z. Cotrim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cândida Z. Cotrim. 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 Cândida Z. Cotrim. The network helps show where Cândida Z. Cotrim may publish in the future.

Co-authorship network of co-authors of Cândida Z. Cotrim

This figure shows the co-authorship network connecting the top 25 collaborators of Cândida Z. Cotrim. A scholar is included among the top collaborators of Cândida Z. Cotrim 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 Cândida Z. Cotrim. Cândida Z. Cotrim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Martins, Filipa, Sandra Rebelo, Mariana Santos, et al.. (2015). BRI2 and BRI3 are functionally distinct phosphoproteins. Cellular Signalling. 28(1). 130–144. 10 indexed citations

Dória, M. Luísa, Ana Sofia Ribeiro, Jun Wang, et al.. (2014). Fatty acid and phospholipid biosynthetic pathways are regulated throughout mammary epithelial cell differentiation and correlate to breast cancer survival. The FASEB Journal. 28(10). 4247–4264. 41 indexed citations

Korrodi‐Gregório, Luís, Cândida Z. Cotrim, Paula J. M. van Kleeff, et al.. (2012). Protein Phosphatase 1γ Isoforms Linked Interactions in the Brain. Journal of Molecular Neuroscience. 50(1). 179–197. 16 indexed citations

Dória, M. Luísa, Cândida Z. Cotrim, Cláudia Simões, et al.. (2012). Lipidomic analysis of phospholipids from human mammary epithelial and breast cancer cell lines. Journal of Cellular Physiology. 228(2). 457–468. 93 indexed citations

Cotrim, Cândida Z., Victoria Fabris, M. Luísa Dória, et al.. (2012). Estrogen receptor beta growth-inhibitory effects are repressed through activation of MAPK and PI3K signalling in mammary epithelial and breast cancer cells. Oncogene. 32(19). 2390–2402. 76 indexed citations

Dória, M. Luísa, Cândida Z. Cotrim, Bárbara Macedo, et al.. (2011). Lipidomic approach to identify patterns in phospholipid profiles and define class differences in mammary epithelial and breast cancer cells. Breast Cancer Research and Treatment. 133(2). 635–648. 90 indexed citations

Cotrim, Cândida Z., Francisco Amado, & Luísa A. Helguero. (2011). Estrogenic effect of the MEK1 inhibitor PD98059 on endogenous estrogen receptor alpha and beta. The Journal of Steroid Biochemistry and Molecular Biology. 124(1-2). 25–30. 9 indexed citations

Cotrim, Cândida Z., et al.. (2008). Asynchronous DNA replication detected by fluorescence in situ hybridisation as a possible indicator of genetic damage in human lymphocytes. Oncology Reports. 19(2). 369–75. 4 indexed citations

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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