Marika Pla

2.7k total citations
71 papers, 1.9k citations indexed

About

Marika Pla is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Marika Pla has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 25 papers in Molecular Biology and 16 papers in Hematology. Recurrent topics in Marika Pla's work include Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (21 papers) and Immunotherapy and Immune Responses (17 papers). Marika Pla is often cited by papers focused on Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (21 papers) and Immunotherapy and Immune Responses (17 papers). Marika Pla collaborates with scholars based in France, United States and Germany. Marika Pla's co-authors include Silvia Martinozzi, Matthias Ulbrecht, Elisabeth H. Weiss, Joachim W. Ellwart, Hartmut Hengel, C Nauciel, Murielle Reboul, Christine Chomienne, Rose Ann Padua and Nathalie Rouas‐Freiss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Marika Pla

69 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marika Pla France 21 1.0k 658 277 245 234 71 1.9k
Hilary S. Warren Australia 24 1.9k 1.9× 506 0.8× 171 0.6× 380 1.6× 203 0.9× 66 2.7k
David Stephany United States 21 1.7k 1.7× 404 0.6× 177 0.6× 401 1.6× 287 1.2× 35 2.6k
Shabnam Tangri United States 20 1.3k 1.3× 454 0.7× 69 0.2× 283 1.2× 168 0.7× 40 1.8k
Kazutomo Suzue Japan 21 1.2k 1.2× 569 0.9× 243 0.9× 463 1.9× 217 0.9× 44 2.4k
Chamorro Somoza United Kingdom 17 1.6k 1.6× 574 0.9× 164 0.6× 416 1.7× 238 1.0× 22 2.3k
Danuta Kozbor United States 31 1.3k 1.3× 778 1.2× 136 0.5× 608 2.5× 274 1.2× 70 2.5k
A. Termijtelen Netherlands 24 1.7k 1.7× 445 0.7× 344 1.2× 112 0.5× 213 0.9× 65 2.3k
E S Vitetta United States 33 2.4k 2.3× 845 1.3× 187 0.7× 365 1.5× 139 0.6× 68 3.2k
David Camerini United States 23 939 0.9× 546 0.8× 221 0.8× 382 1.6× 264 1.1× 43 2.1k
Kenia de los Santos United States 11 1.3k 1.3× 478 0.7× 88 0.3× 221 0.9× 193 0.8× 11 1.9k

Countries citing papers authored by Marika Pla

Since Specialization
Citations

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

Fields of papers citing papers by Marika Pla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marika Pla

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

All Works

20 of 20 papers shown
1.
Pla, Marika, Chrysoula Daskalogianni, Rodrigo Prado Martins, et al.. (2023). Major histocompatibility class I antigenic peptides derived from translation of pre-mRNAs generate immune tolerance. Proceedings of the National Academy of Sciences. 120(7). e2208509120–e2208509120. 4 indexed citations
2.
Beurlet, Stéphanie, M.S. Said, Fabien Guidez, et al.. (2016). GEP analysis validates high risk MDS and acute myeloid leukemia post MDS mice models and highlights novel dysregulated pathways. Journal of Hematology & Oncology. 9(1). 5–5. 6 indexed citations
3.
Kozak, Yvonne de, Serge Camelo, & Marika Pla. (2008). Pathological Aspects of Spontaneous Uveitis and Retinopathy in HLA-A29 Transgenic Mice and in Animal Models of Retinal Autoimmunity: Relevance to Human Pathologies. Ophthalmic Research. 40(3-4). 175–180. 11 indexed citations
4.
Rassool, Feyruz V., Terry J. Gaymes, Nader Omidvar, et al.. (2007). Reactive Oxygen Species, DNA Damage, and Error-Prone Repair: A Model for Genomic Instability with Progression in Myeloid Leukemia?. Cancer Research. 67(18). 8762–8771. 130 indexed citations
5.
Gaymes, Terry J., Rose Ann Padua, Marika Pla, et al.. (2006). Histone Deacetylase Inhibitors (HDI) Cause DNA Damage in Leukemia Cells: A Mechanism for Leukemia-Specific HDI-Dependent Apoptosis?. Molecular Cancer Research. 4(8). 563–573. 77 indexed citations
6.
Padua, Rose Ann, Jérôme Larghero, Marie Robin, et al.. (2003). PML-RARA–targeted DNA vaccine induces protective immunity in a mouse model of leukemia. Nature Medicine. 9(11). 1413–1417. 55 indexed citations
7.
Ulbrecht, Matthias, Valeska Hofmeister, Joachim W. Ellwart, et al.. (2003). HCMV glycoprotein US6 mediated inhibition of TAP does not affect HLA-E dependent protection of K-562 cells from NK cell lysis. Human Immunology. 64(2). 231–237. 20 indexed citations
8.
Riteau, Béatrice, Catherine Menier, Iman Khalil‐Daher, et al.. (2001). HLA-G1 co-expression boosts the HLA class I-mediated NK lysis inhibition. International Immunology. 13(2). 193–201. 133 indexed citations
9.
Marit, Gérald, et al.. (1999). Transgene expression, but not gene delivery, is improved by adhesion-assisted lipofection of hematopoietic cells. Gene Therapy. 6(5). 931–938. 31 indexed citations
10.
Reboul, Murielle, et al.. (1998). Strong Alloantigenicity of the α-Helices Residues of the MHC Class I Molecule. The Journal of Immunology. 161(1). 148–153. 8 indexed citations
11.
Labaume, S, Martine Chopin, Marika Pla, & J C Brouet. (1998). Differential In Vitro and In Vivo Effects of All-Trans Retinoic Acid on the Growth of Human Myeloma Cells. Leukemia & lymphoma. 30(3-4). 361–366. 6 indexed citations
12.
Weinreich, Stephanie S., F Eulderink, J Capková, et al.. (1995). HLA-B27 as a relative risk factor in ankylosing enthesopathy in transgenic mice. Human Immunology. 42(2). 103–115. 53 indexed citations
13.
Frangoulis, Bernard, Murielle Reboul, Anna Rocca, & Marika Pla. (1993). Cross‐reactivity among evolutionarily distant major histocompatibility complex class I molecules (HLA‐B27 and H‐2Kk) revealed by xenoreactive T lymphocytes. European Journal of Immunology. 23(2). 338–342. 5 indexed citations
14.
Scherf, Artur, Charlotte Behr, Jean‐Louis Sarthou, et al.. (1993). Immune response in mouse and malaria‐exposed humans to peptides derived from Pfl1‐1, a highly repetitive megadalton protein of Plasmodium falciparum. European Journal of Immunology. 23(7). 1574–1581. 12 indexed citations
15.
Gillet, Daniel, et al.. (1989). Mouse cytotoxic T cells can recognize HLA-B27 antigen without H-2 restriction. Immunogenetics. 29(3). 210–212. 5 indexed citations
16.
17.
Rocca, Anna, et al.. (1989). Real and apparent H-2-specific antibodies induced by syngeneic immunization. Immunogenetics. 30(4). 303–306. 1 indexed citations
18.
19.
Pla, Marika, et al.. (1979). [Stimulating determinants of the secondary mixed lymphocyte reaction (MLR-II)].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 289(5). 477–80. 2 indexed citations
20.
Pla, Marika, et al.. (1976). H-2 influence on corticosteroid effects on thymus cells.. The Mouseion at the JAXlibrary (Jackson Laboratory). 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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