Emmanuel Maïcas

405 total citations
10 papers, 350 citations indexed

About

Emmanuel Maïcas is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Emmanuel Maïcas has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Emmanuel Maïcas's work include RNA and protein synthesis mechanisms (6 papers), Fungal and yeast genetics research (5 papers) and Cancer Cells and Metastasis (3 papers). Emmanuel Maïcas is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Fungal and yeast genetics research (5 papers) and Cancer Cells and Metastasis (3 papers). Emmanuel Maïcas collaborates with scholars based in Canada. Emmanuel Maïcas's co-authors include James D. Friesen, Rodney J. Ouellette, Howard J. Himmelfarb, Mark Laflamme, Mary Shago, Stéphanie Jean, Mame Daro Faye, Nicolas Crapoulet, Stephen M. Lewis and Gilles A. Robichaud and has published in prestigious journals such as Nucleic Acids Research, Molecular and Cellular Biology and British Journal of Haematology.

In The Last Decade

Emmanuel Maïcas

10 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Maïcas Canada 10 284 60 53 28 21 10 350
Rachel Newcomb United States 5 162 0.6× 69 1.1× 84 1.6× 26 0.9× 20 1.0× 5 239
Linh Huynh Japan 6 259 0.9× 70 1.2× 39 0.7× 41 1.5× 10 0.5× 6 334
Poorwa Awasthi India 5 182 0.6× 63 1.1× 34 0.6× 17 0.6× 33 1.6× 11 249
Olivier Jobin‐Robitaille Canada 5 647 2.3× 88 1.5× 51 1.0× 34 1.2× 42 2.0× 6 666
Ting Fu United States 11 246 0.9× 60 1.0× 62 1.2× 18 0.6× 17 0.8× 26 346
Valéria Szukacsov Hungary 6 304 1.1× 72 1.2× 49 0.9× 25 0.9× 34 1.6× 7 343
Chenqiang Jia China 7 252 0.9× 51 0.8× 22 0.4× 47 1.7× 6 0.3× 9 301
Naohiko Kodo Japan 7 299 1.1× 38 0.6× 65 1.2× 42 1.5× 23 1.1× 7 358
Hongshang Chu China 5 258 0.9× 62 1.0× 47 0.9× 22 0.8× 48 2.3× 8 337
R. Dante France 12 245 0.9× 37 0.6× 36 0.7× 42 1.5× 6 0.3× 16 305

Countries citing papers authored by Emmanuel Maïcas

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Maïcas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Maïcas

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

All Works

10 of 10 papers shown
1.
Benzina, Sami, Stéphanie Jean, Mame Daro Faye, et al.. (2017). Pax-5 is a potent regulator of E-cadherin and breast cancer malignant processes. Oncotarget. 8(7). 12052–12066. 27 indexed citations
2.
Laflamme, Mark, et al.. (2009). Multiple isoforms of PAX5 are expressed in both lymphomas and normal B‐cells. British Journal of Haematology. 147(3). 328–338. 17 indexed citations
3.
Ouellette, Rodney J., et al.. (2004). RT-PCR for Mammaglobin Genes, MGB1 and MGB2, Identifies Breast Cancer Micrometastases in Sentinel Lymph Nodes. American Journal of Clinical Pathology. 121(5). 637–643. 37 indexed citations
4.
Ouellette, Rodney J., et al.. (2004). RT-PCR for Mammaglobin Genes,MGB1andMGB2, Identifies Breast Cancer Micrometastases in Sentinel Lymph Nodes. American Journal of Clinical Pathology. 121(5). 637–643. 31 indexed citations
5.
Maïcas, Emmanuel, Mary Shago, & James D. Friesen. (1990). Translation of theSaccharomyces cerevisiae tcm1gene in the absence of a 5′-untranslated leader. Nucleic Acids Research. 18(19). 5823–5828. 19 indexed citations
6.
Maïcas, Emmanuel & James D. Friesen. (1990). A sequence pattern that occurs at the transcription initiation region of yeast RNA polymerase II Promoters. Nucleic Acids Research. 18(11). 3387–3393. 32 indexed citations
7.
Maïcas, Emmanuel, et al.. (1988). The Accumulation of Three Yeast Ribosomal Proteins under Conditions of Excess mRNA is Determined Primarily by Fast Protein Decay. Molecular and Cellular Biology. 8(1). 169–175. 39 indexed citations
8.
Maïcas, Emmanuel, et al.. (1988). The accumulation of three yeast ribosomal proteins under conditions of excess mRNA is determined primarily by fast protein decay.. Molecular and Cellular Biology. 8(1). 169–175. 79 indexed citations
9.
Himmelfarb, Howard J., Emmanuel Maïcas, & James D. Friesen. (1985). Isolation of the SUP45 Omnipotent Suppressor Gene of Saccharomyces cerevisiae and Characterization of Its Gene Product. Molecular and Cellular Biology. 5(4). 816–822. 11 indexed citations
10.
Himmelfarb, Howard J., Emmanuel Maïcas, & James D. Friesen. (1985). Isolation of the SUP45 omnipotent suppressor gene of Saccharomyces cerevisiae and characterization of its gene product.. Molecular and Cellular Biology. 5(4). 816–822. 58 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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