Maria da Graça Bicalho

643 total citations
49 papers, 475 citations indexed

About

Maria da Graça Bicalho is a scholar working on Immunology, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Maria da Graça Bicalho has authored 49 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 10 papers in Epidemiology and 9 papers in Agronomy and Crop Science. Recurrent topics in Maria da Graça Bicalho's work include Reproductive System and Pregnancy (23 papers), Immune Cell Function and Interaction (17 papers) and T-cell and B-cell Immunology (14 papers). Maria da Graça Bicalho is often cited by papers focused on Reproductive System and Pregnancy (23 papers), Immune Cell Function and Interaction (17 papers) and T-cell and B-cell Immunology (14 papers). Maria da Graça Bicalho collaborates with scholars based in Brazil, Germany and Italy. Maria da Graça Bicalho's co-authors include Pryscilla Fanini Wowk, Newton Sérgio de Carvalho, Tatiana Michelon, Jorge Neumann, Bettina Wagner, Peter A. Horn, Vera Rebmann, Alexandra Cristina Senegaglia, Alessandro Schuffner and Andreas Ziegler and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Gynecologic Oncology.

In The Last Decade

Maria da Graça Bicalho

47 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria da Graça Bicalho Brazil 14 350 112 90 83 70 49 475
S.C. Shorter United Kingdom 7 388 1.1× 138 1.2× 199 2.2× 131 1.6× 49 0.7× 14 481
Jan S. Kruessel United States 9 231 0.7× 207 1.8× 108 1.2× 271 3.3× 59 0.8× 12 502
J.S. Kruessel Germany 9 308 0.9× 110 1.0× 173 1.9× 177 2.1× 72 1.0× 12 439
Ulrike von Rango Germany 13 489 1.4× 243 2.2× 287 3.2× 236 2.8× 79 1.1× 21 694
A.P. Hess Germany 13 194 0.6× 99 0.9× 214 2.4× 99 1.2× 68 1.0× 26 435
M Iwahashi Japan 9 233 0.7× 40 0.4× 41 0.5× 51 0.6× 51 0.7× 33 344
Ramsey H. McIntire United States 9 556 1.6× 254 2.3× 193 2.1× 195 2.3× 74 1.1× 10 721
Christine Billstrand United States 11 493 1.4× 216 1.9× 226 2.5× 158 1.9× 164 2.3× 15 653
Jeralyn Sue Platt United States 8 408 1.2× 161 1.4× 109 1.2× 164 2.0× 17 0.2× 9 467
Jens Kieckbusch United Kingdom 11 451 1.3× 114 1.0× 217 2.4× 152 1.8× 100 1.4× 17 615

Countries citing papers authored by Maria da Graça Bicalho

Since Specialization
Citations

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

Fields of papers citing papers by Maria da Graça Bicalho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria da Graça Bicalho. 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 Maria da Graça Bicalho. The network helps show where Maria da Graça Bicalho may publish in the future.

Co-authorship network of co-authors of Maria da Graça Bicalho

This figure shows the co-authorship network connecting the top 25 collaborators of Maria da Graça Bicalho. A scholar is included among the top collaborators of Maria da Graça Bicalho 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 Maria da Graça Bicalho. Maria da Graça Bicalho 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.
Bicalho, Maria da Graça, et al.. (2025). BR-FDP-EYE: Brazilian Forensic DNA eye phenotyping. Forensic Science International. 377. 112593–112593.
2.
Bicalho, Maria da Graça, et al.. (2024). The novel HLA‐A*23:140 allele was identified in a Brazilian bone marrow volunteer donor. HLA. 104(3). e15661–e15661. 2 indexed citations
3.
4.
Barbato, Ingrid Tremel, et al.. (2021). Association between mutations in the FMR1 gene and ovarian dysfunction in Brazilian patients. JBRA. 26(2). 237–240. 3 indexed citations
5.
Carvalho, Newton Sérgio de, et al.. (2020). MICA and KLRK1 genes and their impact in cervical intraepithelial neoplasia development in the southern Brazilian population. Human Immunology. 81(5). 249–253. 3 indexed citations
6.
Senegaglia, Alexandra Cristina, et al.. (2020). Infusion of Mesenchymal Stem Cells to Treat Graft Versus Host Disease: the Role of HLA-G and the Impact of its Polymorphisms. Stem Cell Reviews and Reports. 16(3). 459–471. 15 indexed citations
7.
Carvalho, Newton Sérgio de, et al.. (2019). Is there a role played by HLA‐E, if any, in HPV immune evasion?. Scandinavian Journal of Immunology. 91(3). e12850–e12850. 2 indexed citations
8.
Fiano, Valentina, Morena Trevisan, Francesca Fasanelli, et al.. (2018). Methylation in host and viral genes as marker of aggressiveness in cervical lesions: Analysis in 543 unscreened women. Gynecologic Oncology. 151(2). 319–326. 8 indexed citations
9.
Bicalho, Maria da Graça, et al.. (2017). MICA and NKG2D: Is There an Impact on Kidney Transplant Outcome?. Frontiers in Immunology. 8. 179–179. 21 indexed citations
10.
Bicalho, Maria da Graça, et al.. (2016). A pilot study on Hla-G locus control region haplotypes and cervical intraepithelial neoplasias. Human Immunology. 78(3). 281–286. 3 indexed citations
11.
12.
Schuffner, Alessandro, et al.. (2016). HLA-G profile of infertile couples who underwent assisted reproduction treatment. Human Immunology. 77(12). 1179–1186. 7 indexed citations
13.
Wowk, Pryscilla Fanini, et al.. (2012). HLA-G regulatory haplotypes and implantation outcome in couples who underwent assisted reproduction treatment. Human Immunology. 73(9). 891–897. 15 indexed citations
14.
Bicalho, Maria da Graça, et al.. (2012). Considerations on regulatory sequences of the distal promoter region of the HLA-G gene. Human Immunology. 74(4). 473–477. 4 indexed citations
15.
Wowk, Pryscilla Fanini, et al.. (2011). A novel allele, HLA‐A*66:14, identified in a Brazilian volunteer bone marrow donor. Tissue Antigens. 79(3). 207–208. 3 indexed citations
16.
Bicalho, Maria da Graça, et al.. (2011). Association of HLA-G alleles and 3′ UTR 14 bp haplotypes with recurrent miscarriage in Brazilian couples. Human Immunology. 72(6). 479–485. 35 indexed citations
17.
Carvalho, Newton Sérgio de, et al.. (2009). IFNG (+874 T/A) Polymorphism and Cervical Intraepithelial Neoplasia in Brazilian Women. Journal of Interferon & Cytokine Research. 29(5). 285–288. 13 indexed citations
18.
Bicalho, Maria da Graça, et al.. (2009). Population analysis of xenobiotic metabolizing genes in South Brazilian Euro and Afro-descendants. Genetics and Molecular Biology. 32(4). 723–728. 7 indexed citations
19.
Bicalho, Maria da Graça, et al.. (2005). A Case–Control Study in IL6 and TGFB1 Gene Polymorphisms and Recurrent Spontaneous Abortion in Southern Brazilian Patients. American Journal of Reproductive Immunology. 53(2). 94–99. 32 indexed citations
20.
Bicalho, Maria da Graça, et al.. (2005). Human Leukocyte Antigen Allelic Groups and Haplotypes in a Brazilian Sample of Volunteer Donors for Bone Marrow Transplant in Curitiba, Paraná, Brazil. Transplantation Proceedings. 37(5). 2293–2296. 21 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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