Paula Mañá

480 total citations
10 papers, 375 citations indexed

About

Paula Mañá is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Paula Mañá has authored 10 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Paula Mañá's work include Cytokine Signaling Pathways and Interactions (3 papers), Multiple Sclerosis Research Studies (2 papers) and RNA Research and Splicing (2 papers). Paula Mañá is often cited by papers focused on Cytokine Signaling Pathways and Interactions (3 papers), Multiple Sclerosis Research Studies (2 papers) and RNA Research and Splicing (2 papers). Paula Mañá collaborates with scholars based in Australia, Spain and Germany. Paula Mañá's co-authors include David Liñares, Maria Staykova, David O. Willenborg, Diego G. Silva, Manuel Freire‐Garabal, Christopher C. Goodnow, Pheh-Ping Chang, Roybel R. Ramiscal, Heinrich Körner and Vicki Athanasopoulos and has published in prestigious journals such as Journal of Neuroscience, Immunity and The Journal of Immunology.

In The Last Decade

Paula Mañá

10 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula Mañá Australia 8 145 120 83 66 63 10 375
David Liñares Australia 10 119 0.8× 75 0.6× 120 1.4× 92 1.4× 70 1.1× 16 369
Maria C. J. Vincenten Netherlands 9 144 1.0× 114 0.9× 189 2.3× 173 2.6× 89 1.4× 9 464
Shin-ichiro Honda Japan 12 194 1.3× 146 1.2× 41 0.5× 16 0.2× 29 0.5× 12 547
Seray Demir Germany 7 58 0.4× 75 0.6× 76 0.9× 99 1.5× 61 1.0× 9 282
Ashley L. Comer United States 5 39 0.3× 108 0.9× 111 1.3× 19 0.3× 17 0.3× 6 342
Marissa L. Dubbelaar Netherlands 10 164 1.1× 137 1.1× 320 3.9× 22 0.3× 42 0.7× 17 451
Isabelle Comte France 10 66 0.5× 136 1.1× 41 0.5× 19 0.3× 115 1.8× 17 475
Scott Stuckman United States 9 182 1.3× 106 0.9× 41 0.5× 89 1.3× 13 0.2× 11 425
Gabriella Pál Hungary 7 65 0.4× 132 1.1× 147 1.8× 13 0.2× 46 0.7× 7 344
Denis Gallagher Canada 6 67 0.5× 193 1.6× 54 0.7× 12 0.2× 81 1.3× 7 386

Countries citing papers authored by Paula Mañá

Since Specialization
Citations

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

Fields of papers citing papers by Paula Mañá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Mañá

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

All Works

10 of 10 papers shown
1.
Mañá, Paula, David Liñares, Diego G. Silva, et al.. (2013). LIGHT (TNFSF14/CD258) Is a Decisive Factor for Recovery from Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 191(1). 154–163. 13 indexed citations
2.
Pratama, Alvin, Roybel R. Ramiscal, Diego G. Silva, et al.. (2013). Roquin-2 Shares Functions with Its Paralog Roquin-1 in the Repression of mRNAs Controlling T Follicular Helper Cells and Systemic Inflammation. Immunity. 38(4). 669–680. 117 indexed citations
3.
Mañá, Paula, Susan A. Fordham, Maria Staykova, et al.. (2009). Demyelination caused by the copper chelator cuprizone halts T cell mediated autoimmune neuroinflammation. Journal of Neuroimmunology. 210(1-2). 13–21. 32 indexed citations
4.
Mañá, Paula, et al.. (2006). Deleterious Role of IFNγ in a Toxic Model of Central Nervous System Demyelination. American Journal Of Pathology. 168(5). 1464–1473. 38 indexed citations
5.
Liñares, David, et al.. (2006). Neuronal Nitric Oxide Synthase Plays a Key Role in CNS Demyelination. Journal of Neuroscience. 26(49). 12672–12681. 77 indexed citations
6.
Liñares, David, et al.. (2004). Single-step purification and refolding of recombinant mouse and human myelin oligodendrocyte glycoprotein and induction of EAE in mice. Protein Expression and Purification. 34(2). 249–256. 15 indexed citations
7.
Liñares, David, Paula Mañá, Melinda Goodyear, et al.. (2003). The magnitude and encephalogenic potential of autoimmune response to MOG is enhanced in MOG deficient mice. Journal of Autoimmunity. 21(4). 339–351. 24 indexed citations
8.
Núñez, Marı́a J., Paula Mañá, David Liñares, et al.. (2002). Music, immunity and cancer. Life Sciences. 71(9). 1047–1057. 52 indexed citations
9.
Freire‐Garabal, Manuel, et al.. (2000). Effects of nefazodone on the immune system of mice. European Neuropsychopharmacology. 10(4). 255–264. 6 indexed citations
10.
Núñez, Marı́a J., M. Carmen Míguez, David Liñares, et al.. (1998). EFFECTS OF NEFAZODONE ON DELAYED TYPE HYPERSENSITIVITY (DTH) RESPONSE IN STRESSED MICE. 23. 19–27. 1 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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