Christophe Pivôt-Pajot

848 total citations
8 papers, 694 citations indexed

About

Christophe Pivôt-Pajot is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Christophe Pivôt-Pajot has authored 8 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Christophe Pivôt-Pajot's work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Christophe Pivôt-Pajot is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Christophe Pivôt-Pajot collaborates with scholars based in France, Canada and Germany. Christophe Pivôt-Pajot's co-authors include Saadi Khochbin, Sophie Rousseaux, Cécile Caron, Jérôme Govin, Alexandre Vion, Anne-Karen Faure, R. Pelletier, B Sèle, Mira Hazzouri and Yves Usson and has published in prestigious journals such as The Journal of Immunology, Molecular and Cellular Biology and EMBO Reports.

In The Last Decade

Christophe Pivôt-Pajot

8 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christophe Pivôt-Pajot France 7 521 210 169 105 80 8 694
Ching-Yeu Liang Switzerland 8 463 0.9× 146 0.7× 103 0.6× 120 1.1× 70 0.9× 12 643
Cecil Han South Korea 13 292 0.6× 113 0.5× 177 1.0× 102 1.0× 100 1.3× 22 519
Ruth A. Pimental United States 10 380 0.7× 65 0.3× 118 0.7× 49 0.5× 228 2.9× 10 616
Inju Park South Korea 10 218 0.4× 103 0.5× 151 0.9× 91 0.9× 57 0.7× 15 418
Zheng‐Bin Han China 11 288 0.6× 118 0.6× 170 1.0× 321 3.1× 37 0.5× 15 547
Caroline Osterhoff Germany 9 217 0.4× 102 0.5× 211 1.2× 125 1.2× 46 0.6× 10 451
R.L. Gardner United Kingdom 13 510 1.0× 135 0.6× 83 0.5× 331 3.2× 100 1.3× 14 786
Victor De Leon United States 9 672 1.3× 246 1.2× 234 1.4× 530 5.0× 81 1.0× 14 920
M. I. SHERMAN United Kingdom 11 410 0.8× 203 1.0× 36 0.2× 251 2.4× 95 1.2× 13 618
Jill Horowitz United States 9 377 0.7× 55 0.3× 72 0.4× 70 0.7× 19 0.2× 9 527

Countries citing papers authored by Christophe Pivôt-Pajot

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Pivôt-Pajot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christophe Pivôt-Pajot. 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 Christophe Pivôt-Pajot. The network helps show where Christophe Pivôt-Pajot may publish in the future.

Co-authorship network of co-authors of Christophe Pivôt-Pajot

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

All Works

8 of 8 papers shown
1.
Pivôt-Pajot, Christophe, et al.. (2009). Characterisation of degranulation and phagocytic capacity of a human neutrophilic cellular model, PLB-985 cells. Immunobiology. 215(1). 38–52. 33 indexed citations
2.
Garceau, Valérie, et al.. (2009). Cytohesin-1 Regulates the Arf6-Phospholipase D Signaling Axis in Human Neutrophils: Impact on Superoxide Anion Production and Secretion. The Journal of Immunology. 184(2). 637–649. 26 indexed citations
3.
Pivôt-Pajot, Christophe, Frédérique Varoqueaux, Geneviève de Saint Basile, & Sylvain Bourgoin. (2008). Munc13-4 Regulates Granule Secretion in Human Neutrophils. The Journal of Immunology. 180(10). 6786–6797. 54 indexed citations
4.
Govin, Jérôme, Cécile Lestrat, C. Caron, et al.. (2006). Histone Acetylation-Mediated Chromatin Compaction During Mouse Spermatogenesis. PubMed. 155–172. 51 indexed citations
5.
Pivôt-Pajot, Christophe, Cécile Caron, Jérôme Govin, et al.. (2003). Acetylation-Dependent Chromatin Reorganization by BRDT, a Testis-Specific Bromodomain-Containing Protein. Molecular and Cellular Biology. 23(15). 5354–5365. 223 indexed citations
6.
Caron, Cécile, Christophe Pivôt-Pajot, Leo A. van Grunsven, et al.. (2003). Cdyl: a new transcriptional co‐repressor. EMBO Reports. 4(9). 877–882. 92 indexed citations
7.
Rousseaux, Sophie, Cécile Caron, Christophe Pivôt-Pajot, et al.. (2003). Facteurs impliqués dans le remodelage de la chromatine au cours de la spermiogenèse. Andrologie. 13(2). 139–147. 1 indexed citations
8.
Hazzouri, Mira, Christophe Pivôt-Pajot, Anne-Karen Faure, et al.. (2000). Regulated hyperacetylation of core histones during mouse spermatogenesis: involvement of histone-deacetylases. European Journal of Cell Biology. 79(12). 950–960. 214 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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