Christophe Capelle

442 total citations
8 papers, 189 citations indexed

About

Christophe Capelle is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Christophe Capelle has authored 8 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Christophe Capelle's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Single-cell and spatial transcriptomics (2 papers). Christophe Capelle is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Single-cell and spatial transcriptomics (2 papers). Christophe Capelle collaborates with scholars based in Luxembourg, Denmark and Germany. Christophe Capelle's co-authors include Markus Hartl, Thomas Gossenreiter, Mathias Müller, Katrin Fischer, Maria Novatchkova, Ekaterini Platanitis, Thomas Decker, Markus Ollert, Feng He and Rudi Balling and has published in prestigious journals such as Nature Communications, Immunology and iScience.

In The Last Decade

Christophe Capelle

7 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christophe Capelle Luxembourg	5	110	74	65	24	21	8	189
Omkar Chaudhary United States	7	66 0.6×	35 0.5×	48 0.7×	25 1.0×	29 1.4×	13	211
Xue Ying Chan Singapore	7	63 0.6×	48 0.6×	26 0.4×	22 0.9×	20 1.0×	7	166
Luigi Varesio Italy	8	81 0.7×	87 1.2×	31 0.5×	26 1.1×	25 1.2×	12	238
Tomokazu Ohta Japan	5	267 2.4×	49 0.7×	77 1.2×	9 0.4×	15 0.7×	7	313
Pedro M. Rodrigues Portugal	10	167 1.5×	101 1.4×	59 0.9×	20 0.8×	36 1.7×	12	307
Tom Sidwell Australia	7	154 1.4×	47 0.6×	32 0.5×	8 0.3×	17 0.8×	9	223
Andrea Rubio-Ponce Spain	4	150 1.4×	50 0.7×	16 0.2×	16 0.7×	23 1.1×	4	213
Changsoo Kwak United States	3	169 1.5×	90 1.2×	57 0.9×	27 1.1×	17 0.8×	4	283
Patrizia Palomba Italy	8	74 0.7×	42 0.6×	47 0.7×	14 0.6×	11 0.5×	17	177
François Lallemand Belgium	7	152 1.4×	99 1.3×	34 0.5×	15 0.6×	24 1.1×	14	283

Countries citing papers authored by Christophe Capelle

Since Specialization

Citations

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

Fields of papers citing papers by Christophe Capelle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Capelle

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Capelle. A scholar is included among the top collaborators of Christophe Capelle 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 Capelle. Christophe Capelle 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.

Turiel, Guillermo, Evi Masschelein, Zheng Fan, et al.. (2025). Single-cell compendium of muscle microenvironment in peripheral artery disease reveals altered endothelial diversity and LYVE1+ macrophage activation. Nature Cardiovascular Research. 4(10). 1221–1240.

2.

Magni, Stefano, Christophe Capelle, Laurent Mombaerts, et al.. (2024). Inferring upstream regulatory genes of FOXP3 in human regulatory T cells from time-series transcriptomic data. npj Systems Biology and Applications. 10(1). 59–59. 1 indexed citations

3.

Capelle, Christophe, Anna Chen, Kamil Grzyb, et al.. (2022). Stress hormone signalling inhibits Th1 polarization in a CD4 T‐cell‐intrinsic manner via mTORC1 and the circadian gene PER1. Immunology. 165(4). 428–444. 17 indexed citations

4.

Capelle, Christophe, et al.. (2021). Identification of VIMP as a gene inhibiting cytokine production in human CD4+ effector T cells. iScience. 24(4). 102289–102289. 14 indexed citations

5.

Capelle, Christophe, Wim Ammerlaan, Maria Konstantinou, et al.. (2021). Standard Peripheral Blood Mononuclear Cell Cryopreservation Selectively Decreases Detection of Nine Clinically Relevant T Cell Markers. ImmunoHorizons. 5(8). 711–720. 9 indexed citations

6.

Zanin, Massimiliano, Paul Antony, Peter A. Barbuti, et al.. (2020). Mitochondria interaction networks show altered topological patterns in Parkinson’s disease. npj Systems Biology and Applications. 6(1). 38–38. 8 indexed citations

7.

Capelle, Christophe, et al.. (2020). Identification of VIMP as a Gene Inhibiting Cytokine Production in Human CD4+ Effector T Cells. SSRN Electronic Journal. 1 indexed citations

8.

Platanitis, Ekaterini, Katrin Fischer, Christophe Capelle, et al.. (2019). A molecular switch from STAT2-IRF9 to ISGF3 underlies interferon-induced gene transcription. Nature Communications. 10(1). 2921–2921. 139 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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