Joana Cerveira

727 total citations
9 papers, 485 citations indexed

About

Joana Cerveira is a scholar working on Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joana Cerveira has authored 9 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joana Cerveira's work include Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (2 papers) and Pregnancy and preeclampsia studies (1 paper). Joana Cerveira is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (2 papers) and Pregnancy and preeclampsia studies (1 paper). Joana Cerveira collaborates with scholars based in United Kingdom, Portugal and United States. Joana Cerveira's co-authors include Andrew Filby, Paul Rees, Huw D. Summers, Derek Davies, Holger Hennig, James O. Patterson, Fabian J. Theis, Thomas Blasi, Anne E. Carpenter and Julfa Begum and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Cancer Research.

In The Last Decade

Joana Cerveira

9 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joana Cerveira United Kingdom 8 186 142 107 96 79 9 485
Shuang Ni China 15 139 0.7× 85 0.6× 39 0.4× 76 0.8× 8 0.1× 46 533
Cheng-Chung Huang Taiwan 10 106 0.6× 16 0.1× 86 0.8× 66 0.7× 20 0.3× 19 381
Catherine Le Quément France 12 136 0.7× 193 1.4× 213 2.0× 42 0.4× 4 0.1× 14 716
Priya Choudhry United States 8 150 0.8× 35 0.2× 34 0.3× 49 0.5× 15 0.2× 16 334
Han-Wei Wang China 12 148 0.8× 272 1.9× 125 1.2× 30 0.3× 3 0.0× 16 531
Ida Grundberg Sweden 10 479 2.6× 33 0.2× 109 1.0× 30 0.3× 13 0.2× 14 769
Wenju Liu China 11 148 0.8× 20 0.1× 70 0.7× 26 0.3× 8 0.1× 37 510
Joseph Khoory United States 8 117 0.6× 17 0.1× 185 1.7× 31 0.3× 4 0.1× 14 418
Matthew D. Silverman United States 11 133 0.7× 9 0.1× 36 0.3× 101 1.1× 12 0.2× 12 459
Agnieszka Kamińska Poland 11 229 1.2× 28 0.2× 59 0.6× 33 0.3× 13 0.2× 18 333

Countries citing papers authored by Joana Cerveira

Since Specialization
Citations

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

Fields of papers citing papers by Joana Cerveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joana Cerveira

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

All Works

9 of 9 papers shown
1.
Suen, Chun-Wai, Fabio Pastorino, Susanne van den Brink, et al.. (2025). Dissecting infant leukemia developmental origins with a hemogenic gastruloid model. eLife. 14. 1 indexed citations
2.
Thomas, Jake, Xiaohui Zhao, Colin Y.C. Lee, et al.. (2020). Phenotypic and functional characterization of first-trimester human placental macrophages, Hofbauer cells. The Journal of Experimental Medicine. 218(1). 115 indexed citations
3.
New, Maria I., Tim Van Acker, Jun-Ichi Sakamaki, et al.. (2019). MDH1 and MPP7 Regulate Autophagy in Pancreatic Ductal Adenocarcinoma. Cancer Research. 79(8). 1884–1898. 29 indexed citations
4.
Blasi, Thomas, Holger Hennig, Huw D. Summers, et al.. (2016). Label-free cell cycle analysis for high-throughput imaging flow cytometry. Nature Communications. 7(1). 10256–10256. 215 indexed citations
5.
Zalmas, Lykourgos‐Panagiotis, Eva Grönroos, Sally M. Dewhurst, et al.. (2016). Cyclin D mediates tolerance of genome-doubling in cancers with functional p53. Annals of Oncology. 28(1). 149–156. 33 indexed citations
6.
Cerveira, Joana, Julfa Begum, Rafael Di Marco Barros, Annemarthe G. van der Veen, & Andrew Filby. (2015). An imaging flow cytometry-based approach to measuring the spatiotemporal calcium mobilisation in activated T cells. Journal of Immunological Methods. 423. 120–130. 16 indexed citations
7.
Cerveira, Joana, María Sánchez‐Aragó, Ana M. Urbano, & José M. Cuezva. (2014). Short‐term exposure of nontumorigenic human bronchial epithelial cells to carcinogenic chromium(VI) compromises their respiratory capacity and alters their bioenergetic signature. FEBS Open Bio. 4(1). 594–601. 18 indexed citations
8.
Begum, Julfa, William Day, Joana Cerveira, et al.. (2013). A method for evaluating the use of fluorescent dyes to track proliferation in cell lines by dye dilution. Cytometry Part A. 83(12). 1085–1095. 38 indexed citations
9.
Marques‐Vidal, Pedro, Joana Cerveira, Fred Paccaud, & Jacques Cornuz. (2010). Smoking trends in Switzerland, 1992–2007: a time for optimism?. Journal of Epidemiology & Community Health. 65(3). 281–286. 20 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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