Isabel Corrêa

2.0k total citations
26 papers, 1.3k citations indexed

About

Isabel Corrêa is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Isabel Corrêa has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Isabel Corrêa's work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (7 papers). Isabel Corrêa is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (7 papers). Isabel Corrêa collaborates with scholars based in United Kingdom, United States and Germany. Isabel Corrêa's co-authors include David H. Raulet, Laura G. Corral, Ming‐Fan Wu, María J. Bullido, Luis Enjuanes, Gustavo Jiménez, Jeffrey R. Dorfman, Carlos Suñé, Werner Held and Joy Burchell and has published in prestigious journals such as Immunity, The Journal of Immunology and Immunological Reviews.

In The Last Decade

Isabel Corrêa

24 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Corrêa United Kingdom 15 798 330 278 248 220 26 1.3k
Loes A. Gravestein Netherlands 11 969 1.2× 178 0.5× 282 1.0× 107 0.4× 105 0.5× 11 1.3k
Karen Duus United States 22 545 0.7× 284 0.9× 229 0.8× 225 0.9× 39 0.2× 34 1.3k
Florence Boisgérault France 20 468 0.6× 484 1.5× 172 0.6× 102 0.4× 34 0.2× 34 1.2k
Etsuko Yasuda Netherlands 13 380 0.5× 249 0.8× 152 0.5× 458 1.8× 93 0.4× 28 1.4k
Eugene C. Butcher United States 7 1.0k 1.3× 187 0.6× 269 1.0× 65 0.3× 30 0.1× 9 1.4k
Eva Billerbeck United States 13 505 0.6× 209 0.6× 143 0.5× 171 0.7× 52 0.2× 18 1.1k
Tim Beißert Germany 17 349 0.4× 1.1k 3.2× 180 0.6× 355 1.4× 108 0.5× 26 1.5k
Joyce Hu United States 14 1.0k 1.3× 543 1.6× 247 0.9× 142 0.6× 23 0.1× 20 1.5k
Eugene C. Butcher United States 9 893 1.1× 259 0.8× 110 0.4× 85 0.3× 34 0.2× 9 1.3k
S G Devare United States 19 343 0.4× 594 1.8× 164 0.6× 110 0.4× 117 0.5× 25 1.3k

Countries citing papers authored by Isabel Corrêa

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Corrêa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Corrêa

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Corrêa. A scholar is included among the top collaborators of Isabel Corrêa 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 Isabel Corrêa. Isabel Corrêa 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.
2.
Cahill, Fidelma, Harriet Wylie, Cheryl Gillett, et al.. (2022). Invadopodia play a role in prostate cancer progression. BMC Cancer. 22(1). 386–386. 9 indexed citations
3.
4.
Corrêa, Isabel & Nathan Holbert. (2020). Creating Purpose: A Case Study of the Creative Process of an African American Teen in Maker Education.. ICLS. 1 indexed citations
5.
Corrêa, Isabel, Kristina M. Ilieva, Silvia Crescioli, et al.. (2018). Evaluation of Antigen-Conjugated Fluorescent Beads to Identify Antigen-Specific B Cells. Frontiers in Immunology. 9. 493–493. 13 indexed citations
6.
Halim, Leena, Marco Romano, Reuben McGregor, et al.. (2017). An Atlas of Human Regulatory T Helper-like Cells Reveals Features of Th2-like Tregs that Support a Tumorigenic Environment. Cell Reports. 20(3). 757–770. 127 indexed citations
7.
Coleman, Julia, Isabel Corrêa, Lucienne Cooper, et al.. (2010). T cells reactive with HLA‐A*0201 peptides from the histone demethylase JARID1B are found in the circulation of breast cancer patients. International Journal of Cancer. 128(9). 2114–2124. 6 indexed citations
8.
Corrêa, Isabel, et al.. (2003). Form and pattern of MUC1 expression on T cells activated in vivo or in vitro suggests a function in T‐cell migration. Immunology. 108(1). 32–41. 60 indexed citations
9.
Corrêa, Isabel. (2002). Manual de licitaciones públicas. RePEc: Research Papers in Economics.
10.
Taylor‐Papadimitriou, Joyce, Joy Burchell, Rosalind Graham, et al.. (2002). MUC1 and the Immunobiology of Cancer. Journal of Mammary Gland Biology and Neoplasia. 7(2). 209–221. 128 indexed citations
11.
Gileadi, Uzi, Hélène Moins‐Teisserenc, Isabel Corrêa, et al.. (1999). Generation of an Immunodominant CTL Epitope Is Affected by Proteasome Subunit Composition and Stability of the Antigenic Protein. The Journal of Immunology. 163(11). 6045–6052. 66 indexed citations
12.
Raulet, David H., Werner Held, Isabel Corrêa, et al.. (1997). Specificity, tolerance and developmental regulation of natural killer cells defined by expression of class I‐specific Ly49 receptors. Immunological Reviews. 155(1). 41–52. 189 indexed citations
13.
Raulet, David H., Isabel Corrêa, Laura G. Corral, Jeffrey R. Dorfman, & Ming‐Fan Wu. (1995). Inhibitory effects of class I molecules on murine NK cells: speculations on function, specificity and self-tolerance. Seminars in Immunology. 7(2). 103–107. 21 indexed citations
14.
Corrêa, Isabel & David H. Raulet. (1995). Binding of diverse peptides to MHC class I molecules inhibits target cell lysis by activated natural killer cells. Immunity. 2(1). 61–71. 150 indexed citations
15.
Corrêa, Isabel, Laura G. Corral, & David H. Raulet. (1994). Multiple natural killer cell‐activating signals are inhibited by major histocompatibility complex class I expression in target cells. European Journal of Immunology. 24(6). 1323–1331. 71 indexed citations
16.
Raulet, David H., Nan‐Shih Liao, Isabel Corrêa, & Mark Bix. (1992). Lymphocyte Development in Mice Deficient for MHC Class I Expression. Advances in experimental medicine and biology. 323. 67–72. 3 indexed citations
17.
Sánchez, Carlos M., Gustavo Jiménez, Isabel Corrêa, et al.. (1990). Antigenic homology among coronaviruses related to transmissible gastroenteritis virus. Virology. 174(2). 410–417. 128 indexed citations
18.
Suñé, Carlos, Gustavo Jiménez, Isabel Corrêa, et al.. (1990). Mechanisms of transmissible gastroenteritis coronavirus neutralization. Virology. 177(2). 559–569. 51 indexed citations
19.
Corrêa, Isabel, Gustavo Jiménez, Carlos Suñé, María J. Bullido, & Luis Enjuanes. (1988). Antigenic structure of the E2 glycoprotein from transmissible gastroenteritis coronavirus. Virus Research. 10(1). 77–93. 79 indexed citations
20.
Enjuanes, Luis, et al.. (1987). Critical Epitopes in Transmissible Gastroenteritis Virus Neutralization. Advances in experimental medicine and biology. 218. 351–363. 7 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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