Sheila P. Gregório

781 total citations
10 papers, 192 citations indexed

About

Sheila P. Gregório is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Sheila P. Gregório has authored 10 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Sheila P. Gregório's work include Genomics and Rare Diseases (2 papers), Spinal Cord Injury Research (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Sheila P. Gregório is often cited by papers focused on Genomics and Rare Diseases (2 papers), Spinal Cord Injury Research (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Sheila P. Gregório collaborates with scholars based in Brazil, France and United States. Sheila P. Gregório's co-authors include Emmanuel Dias‐Neto, Wagner F. Gattaz, Paulo Clemente Sallet, Guilherme Suarez‐Kurtz, Claúdio J. Struchiner, Kim‐Anh Do, E. Lin, Elida P.B. Ojopi, Cíntia Fridman and Renato S. Carvalho and has published in prestigious journals such as Psychiatry Research, Schizophrenia Research and Epilepsy Research.

In The Last Decade

Sheila P. Gregório

10 papers receiving 189 citations

Peers

Sheila P. Gregório

GENET

ONCOL

CMN

Kaixin Zhou China

Elizabeth S. Barrie United States

Judith Hauptmann Germany

Tetsuo Satō Japan

René Allard United States

Elijah Chaila Ireland

Juan Ruiz United States

Cécile Lecointe France

Kathleen Deschamps United States

Fengjue Shu United States

Kaixin Zhou China

Sheila P. Gregório

61 ×1.0

29 ×0.5

GENET

22 ×0.7

ONCOL

10 ×0.4

20 ×0.9

CMN

Citations per year, relative to Sheila P. Gregório Sheila P. Gregório (= 1×) peers Kaixin Zhou

Countries citing papers authored by Sheila P. Gregório

Since Specialization

Citations

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

Fields of papers citing papers by Sheila P. Gregório

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheila P. Gregório. 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 Sheila P. Gregório. The network helps show where Sheila P. Gregório may publish in the future.

Co-authorship network of co-authors of Sheila P. Gregório

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

All Works

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10 of 10 papers shown

Leschziner, Guy, Alison J. Coffey, Toby Andrew, et al.. (2011). Q8IYL2 is a candidate gene for the familial epilepsy syndrome of Partial Epilepsy with Pericentral Spikes (PEPS). Epilepsy Research. 96(1-2). 109–115. 15 indexed citations

Estrela, Rita de Cássia Elias, Paulo Feijó Barroso, Sheila P. Gregório, et al.. (2009). ABCB1 Polymorphisms and the Concentrations of Lopinavir and Ritonavir in Blood, Semen and Saliva of HIV-Infected Men under Antiretroviral Therapy. Pharmacogenomics. 10(2). 311–318. 32 indexed citations

Gregório, Sheila P., Paulo Clemente Sallet, Kim‐Anh Do, et al.. (2008). Polymorphisms in genes involved in neurodevelopment may be associated with altered brain morphology in schizophrenia: Preliminary evidence. Psychiatry Research. 165(1-2). 1–9. 47 indexed citations

Guimarães, Pedro Edson Moreira, Cíntia Fridman, Sheila P. Gregório, et al.. (2008). DNA polymorphisms as tools for spinal cord injury research. Spinal Cord. 47(2). 171–175. 11 indexed citations

Carvalho, Renato S., et al.. (2008). Distribution of ABCB1 Polymorphisms Among Brazilians: Impact of Population Admixture. Pharmacogenomics. 9(3). 267–276. 33 indexed citations

Guimarães, Pedro Edson Moreira, Cíntia Fridman, Sheila P. Gregório, et al.. (2007). Association between polymorphisms in genes of inflammatory response and axonal repair with spinal cord injury. Spinal Cord. 1 indexed citations

Gregório, Sheila P., Wagner F. Gattaz, Christian Kieling, et al.. (2006). Analysis of coding-polymorphisms in NOTCH-related genes reveals NUMBL poly-glutamine repeat to be associated with schizophrenia in Brazilian and Danish subjects. Schizophrenia Research. 88(1-3). 275–282. 15 indexed citations

Gregório, Sheila P., Elida P.B. Ojopi, Paulo Clemente Sallet, et al.. (2005). Nogo CAA 3′UTR Insertion polymorphism is not associated with Schizophrenia nor with bipolar disorder. Schizophrenia Research. 75(1). 5–9. 15 indexed citations

Ojopi, Elida P.B., Sheila P. Gregório, Pedro Edson Moreira Guimarães, Cíntia Fridman, & Emmanuel Dias‐Neto. (2004). O genoma humano e as perspectivas para o estudo da esquizofrenia. Archives of Clinical Psychiatry (São Paulo). 31(1). 9–18. 7 indexed citations

10.

Fridman, Cíntia, Sheila P. Gregório, Emmanuel Dias‐Neto, & Elida P.B. Ojopi. (2004). Alterações genéticas na doença de Alzheimer. Archives of Clinical Psychiatry (São Paulo). 31(1). 19–25. 16 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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