M. E. Moraes

2.3k total citations
38 papers, 1.3k citations indexed

About

M. E. Moraes is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, M. E. Moraes has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 9 papers in Genetics and 5 papers in Pathology and Forensic Medicine. Recurrent topics in M. E. Moraes's work include T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (16 papers) and Diabetes and associated disorders (7 papers). M. E. Moraes is often cited by papers focused on T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (16 papers) and Diabetes and associated disorders (7 papers). M. E. Moraes collaborates with scholars based in Brazil, United States and China. M. E. Moraes's co-authors include Peter Šťastný, J. R. Moraes, Marcelo Fernández-Viña, Evandro A. Rivitti, Luis A. Díaz, Valéria Aoki, Horácio Friedman, A. M. Lázaro, Chaim Brautbar and Fernando Antônio Frota Bezerra and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

M. E. Moraes

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. E. Moraes Brazil 18 627 347 234 227 187 38 1.3k
Bruce O. Barger United States 21 522 0.8× 71 0.2× 347 1.5× 209 0.9× 144 0.8× 65 1.2k
Bruce Miller United States 18 507 0.8× 177 0.5× 188 0.8× 24 0.1× 113 0.6× 32 1.1k
Pushpa Hegde France 20 736 1.2× 108 0.3× 69 0.3× 93 0.4× 176 0.9× 26 1.3k
Allen H. Mackenzie United States 17 158 0.3× 106 0.3× 471 2.0× 93 0.4× 81 0.4× 28 1.1k
Jacinto J. Vazquez United States 14 270 0.4× 82 0.2× 137 0.6× 105 0.5× 121 0.6× 25 1.1k
Hege S. Carlsen Norway 14 1.0k 1.6× 76 0.2× 75 0.3× 221 1.0× 49 0.3× 21 1.5k
Ş. Targan United States 19 855 1.4× 88 0.3× 114 0.5× 576 2.5× 57 0.3× 33 1.5k
Robert H. Loblay Australia 9 1.5k 2.3× 62 0.2× 115 0.5× 221 1.0× 57 0.3× 14 2.1k
T. A. McNeill United Kingdom 20 396 0.6× 52 0.1× 74 0.3× 114 0.5× 169 0.9× 56 1.1k
R. Andrés Floto United Kingdom 10 665 1.1× 209 0.6× 105 0.4× 55 0.2× 35 0.2× 14 1.3k

Countries citing papers authored by M. E. Moraes

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Moraes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Moraes. 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 M. E. Moraes. The network helps show where M. E. Moraes may publish in the future.

Co-authorship network of co-authors of M. E. Moraes

This figure shows the co-authorship network connecting the top 25 collaborators of M. E. Moraes. A scholar is included among the top collaborators of M. E. Moraes 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 M. E. Moraes. M. E. Moraes 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.
Maiers, Martin, M. E. Moraes, Jeane Eliete Laguila Visentainer, et al.. (2018). The distribution of HLA haplotypes in the ethnic groups that make up the Brazilian Bone Marrow Volunteer Donor Registry (REDOME). Immunogenetics. 70(8). 511–522. 53 indexed citations
2.
Nunes, Kelly, et al.. (2016). Population variation of HLA genes in rural communities in Brazil, the Quilombos from the Vale do Ribeira, São Paulo – Brazil. Human Immunology. 77(6). 447–448. 7 indexed citations
3.
Bub, Carolina Bonet, et al.. (2015). Determination of an unrelated donor pool size for human leukocyte antigen-matched platelets in Brazil. Revista Brasileira de Hematologia e Hemoterapia. 38(1). 1–6. 7 indexed citations
4.
Nunes, Kelly, Xiuwen Zheng, M. E. Moraes, et al.. (2015). HLA imputation in an admixed population: An assessment of the 1000 Genomes data as a training set. Human Immunology. 77(3). 307–312. 16 indexed citations
5.
Moraes, M. E., et al.. (2007). Identification of three novel alleles of HLA‐DRB1 and HLA‐A in the Brazilian population†. Tissue Antigens. 69(6). 607–610. 2 indexed citations
6.
Moraes, M. E., et al.. (2007). Identification of two novel alleles HLA‐B*3569 and ‐B*4450 and confirmation of HLA‐A*2631 in the Brazilian population†. Tissue Antigens. 69(3). 273–276. 4 indexed citations
7.
Lázaro, A. M., Noriko Steiner, M. E. Moraes, et al.. (2005). Ten novel HLA‐DRB1 alleles and one novel DRB3 allele. Tissue Antigens. 66(4). 327–329. 5 indexed citations
8.
Moraes, J. R., et al.. (2004). Almost 50,000 volunteers participate at redome, the Brazilian bone marrow donor registry. Transplantation Proceedings. 36(4). 814–815. 3 indexed citations
9.
Moraes, Milton Ozório, Adalberto Rezende Santos, Joris Schonkeren, et al.. (2003). Interleukin–10 promoter haplotypes are differently distributed in the Brazilian versus the Dutch population. Immunogenetics. 54(12). 896–899. 52 indexed citations
11.
Aoki, Valéria, Günter Hans‐Filho, Evandro A. Rivitti, et al.. (2000). Desmoglein-1–specific T lymphocytes from patients with endemic pemphigus foliaceus (fogo selvagem). Journal of Clinical Investigation. 105(2). 207–213. 67 indexed citations
12.
Lázaro, A. M., M. E. Moraes, C.Y. Marcos, et al.. (1999). Evolution of HLA-class I compared to HLA-class II polymorphism in Terena, a South-American Indian tribe. Human Immunology. 60(11). 1138–1149. 52 indexed citations
13.
Marcos, C.Y., et al.. (1999). Novel HLA‐A and HLA‐B alleles in South American Indians. Tissue Antigens. 53(5). 476–485. 17 indexed citations
14.
Moraes, M. E., Marcelo Fernández-Viña, A. Lázaro, et al.. (1997). An epitope in the third hypervariable region of the DRB1 gene is involved in the susceptibility to endemic pemphigus foliaceus (fogo selvagem) in three different Brazilian populations. Tissue Antigens. 49(1). 35–40. 94 indexed citations
15.
Hans‐Filho, Günter, Vandir dos Santos, Valéria Aoki, et al.. (1996). An Active Focus of High Prevalence of Fogo Selvagem on an Amerindian Reservation in Brazil. Journal of Investigative Dermatology. 107(1). 68–75. 76 indexed citations
16.
Černá, Marie, et al.. (1993). Genetic markers for susceptibility to endemic Brazilian pemphigus foliaceus (Fogo Selvagem) in Xavante indians. Tissue Antigens. 42(1). 138–140. 33 indexed citations
17.
Moraes, M. E., et al.. (1991). DNA typing for class II HLA antigens with allele-specific or group-specific amplification III. Typing for 24 alleles of HLA-DP. Human Immunology. 30(1). 60–68. 140 indexed citations
18.
Moraes, J. R., et al.. (1991). ALLOANTIBODIES AGAINST DONOR EPIDERMIS AND EARLY KIDNEY TRANSPLANT REJECTION. Transplantation. 51(2). 370–373. 25 indexed citations
19.
Moraes, J. R., M. E. Moraes, Marcelo Fernández-Viña, et al.. (1991). HLA antigens and risk for development of pemphigus foliaceus (fogo selvagem) in endemic areas of Brazil. Immunogenetics. 33(5-6). 388–391. 69 indexed citations
20.
Moraes, M. E., Marcelo Fernández-Viña, & Peter Šťastný. (1991). DNA typing for class II HLA antigens with allele-specific or group-specific amplification. IV. Typing for alleles of the HLA-DR2 group. Human Immunology. 31(2). 139–144. 61 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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