Elisa Bayard

1.1k total citations
8 papers, 794 citations indexed

About

Elisa Bayard is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Elisa Bayard has authored 8 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Elisa Bayard's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Tryptophan and brain disorders (2 papers). Elisa Bayard is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Tryptophan and brain disorders (2 papers). Elisa Bayard collaborates with scholars based in France, Morocco and Mali. Elisa Bayard's co-authors include Jacques Mallet, Francine Côté, Guilan Vodjdani, Cécile Fligny, Jean‐Marie Launay, Michael D. Gershon, Yves Fromes, Michèle Darmon, Etienne Thévenot and M. Hamon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Elisa Bayard

8 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elisa Bayard France	7	300	211	130	95	93	8	794
Cécile Fligny France	9	339 1.1×	237 1.1×	144 1.1×	98 1.0×	97 1.0×	13	984
Xiangping Zhou China	11	301 1.0×	173 0.8×	146 1.1×	83 0.9×	95 1.0×	35	841
Marcela Lauková United States	17	319 1.1×	264 1.3×	194 1.5×	150 1.6×	70 0.8×	36	1.2k
Guo‐Lin Chen China	18	297 1.0×	226 1.1×	51 0.4×	73 0.8×	79 0.8×	49	1.0k
Hongmei Dai China	19	348 1.2×	163 0.8×	68 0.5×	54 0.6×	70 0.8×	64	1.1k
Graciela Dı́az-Torga Argentina	20	353 1.2×	111 0.5×	91 0.7×	70 0.7×	187 2.0×	54	1.1k
Dafne M. Silberman Argentina	16	530 1.8×	141 0.7×	180 1.4×	75 0.8×	70 0.8×	21	1.3k
Ana B. Emiliano United States	9	384 1.3×	221 1.0×	298 2.3×	146 1.5×	72 0.8×	11	1.3k
Kazuhiko Iwahashi Japan	19	247 0.8×	152 0.7×	112 0.9×	33 0.3×	126 1.4×	69	1.0k
Nicolas Valenzuela United States	8	256 0.9×	101 0.5×	131 1.0×	106 1.1×	92 1.0×	10	779

Countries citing papers authored by Elisa Bayard

Since Specialization

Citations

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

Fields of papers citing papers by Elisa Bayard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Bayard

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

All Works

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8 of 8 papers shown

1.

Gautier, Emilie‐Fleur, François Rodrigues, Flavia Guillem, et al.. (2022). Role of Caspase-10-P13tBID axis in erythropoiesis regulation. Cell Death and Differentiation. 30(1). 208–220. 5 indexed citations

2.

Amireault, Pascal, Elisa Bayard, Jean‐Marie Launay, et al.. (2013). Serotonin Is a Key Factor for Mouse Red Blood Cell Survival. PLoS ONE. 8(12). e83010–e83010. 25 indexed citations

3.

Amireault, Pascal, Elisa Bayard, Florence Bernex, et al.. (2011). Ineffective erythropoiesis with reduced red blood cell survival in serotonin-deficient mice. Proceedings of the National Academy of Sciences. 108(32). 13141–13146. 48 indexed citations

4.

Khalfallah, Olfa, Philippe Ravassard, Cécile Fligny, et al.. (2009). Zinc Finger Protein 191 (ZNF191/Zfp191) Is Necessary to Maintain Neural Cells As Cycling Progenitors. Stem Cells. 27(7). 1643–1653. 25 indexed citations

5.

Fromes, Yves, Philippe Bonnin, Michèle Darmon, et al.. (2008). Maternal serotonin influences cardiac function in adult offspring. The FASEB Journal. 22(7). 2340–2349. 25 indexed citations

6.

Côté, Francine, Cécile Fligny, Elisa Bayard, et al.. (2006). Maternal serotonin is crucial for murine embryonic development. Proceedings of the National Academy of Sciences. 104(1). 329–334. 290 indexed citations

7.

Kiefer, Hélène, et al.. (2005). ZENON, a Novel POZ Kruppel-Like DNA Binding Protein Associated with Differentiation and/or Survival of Late Postmitotic Neurons. Molecular and Cellular Biology. 25(5). 1713–1729. 29 indexed citations

8.

Côté, Francine, Etienne Thévenot, Cécile Fligny, et al.. (2003). Disruption of the nonneuronal tph1 gene demonstrates the importance of peripheral serotonin in cardiac function. Proceedings of the National Academy of Sciences. 100(23). 13525–13530. 347 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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