Françoise Kühne

1.9k total citations
15 papers, 1.3k citations indexed

About

Françoise Kühne is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Françoise Kühne has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Physiology. Recurrent topics in Françoise Kühne's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Sperm and Testicular Function (5 papers) and Adipose Tissue and Metabolism (5 papers). Françoise Kühne is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Sperm and Testicular Function (5 papers) and Adipose Tissue and Metabolism (5 papers). Françoise Kühne collaborates with scholars based in Switzerland, France and United States. Françoise Kühne's co-authors include Patrick Muzzin, Serge Nef, Jean‐Paul Giacobino, Sonia Samec, W. Richard McCombie, Olivier Boss, J P Revelli, J-P Giacobino, Claire M. Fraser and Françoise Assimacopoulos‐Jeannet and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and The FASEB Journal.

In The Last Decade

Françoise Kühne

15 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Françoise Kühne Switzerland	13	622	587	233	193	185	15	1.3k
Iwona Bogacka Poland	18	781 1.3×	782 1.3×	135 0.6×	120 0.6×	71 0.4×	67	1.7k
Amiya P. Sinha‐Hikim United States	24	577 0.9×	359 0.6×	152 0.7×	374 1.9×	61 0.3×	39	1.4k
Armelle Penhoat France	20	555 0.9×	331 0.6×	231 1.0×	92 0.5×	81 0.4×	53	1.4k
Ravindra Dhir United States	14	424 0.7×	320 0.5×	131 0.6×	116 0.6×	54 0.3×	22	1.1k
Anne‐Marie Lundsgaard Denmark	22	548 0.9×	722 1.2×	71 0.3×	65 0.3×	78 0.4×	41	1.4k
Petra Kempná Switzerland	19	707 1.1×	145 0.2×	246 1.1×	128 0.7×	75 0.4×	25	1.4k
Luciana C. Caperuto Brazil	20	319 0.5×	280 0.5×	79 0.3×	108 0.6×	46 0.2×	39	1.1k
Jill M. Schimke United States	13	633 1.0×	769 1.3×	59 0.3×	110 0.6×	33 0.2×	28	1.4k
M. Mar González‐Barroso Spain	23	905 1.5×	968 1.6×	74 0.3×	31 0.2×	118 0.6×	34	1.7k
Amrita Kamat United States	18	348 0.6×	175 0.3×	239 1.0×	126 0.7×	73 0.4×	29	1.1k

Countries citing papers authored by Françoise Kühne

Since Specialization

Citations

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

Fields of papers citing papers by Françoise Kühne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Kühne

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

All Works

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15 of 15 papers shown

Neirijnck, Yasmine, Pauline Sararols, Françoise Kühne, et al.. (2023). Single-cell transcriptomic profiling redefines the origin and specification of early adrenogonadal progenitors. Cell Reports. 42(3). 112191–112191. 10 indexed citations

Cazin, Caroline, Yasmine Neirijnck, Corinne Loeuillet, et al.. (2021). Combined Use of Whole Exome Sequencing and CRISPR/Cas9 to Study the Etiology of Non-Obstructive Azoospermia: Demonstration of the Dispensable Role of the Testis-Specific Genes C1orf185 and CCT6B. Cells. 11(1). 118–118. 1 indexed citations

Sararols, Pauline, Isabelle Stévant, Yasmine Neirijnck, et al.. (2021). Specific Transcriptomic Signatures and Dual Regulation of Steroidogenesis Between Fetal and Adult Mouse Leydig Cells. Frontiers in Cell and Developmental Biology. 9. 695546–695546. 27 indexed citations

Stévant, Isabelle, Françoise Kühne, Andy Greenfield, et al.. (2019). Dissecting Cell Lineage Specification and Sex Fate Determination in Gonadal Somatic Cells Using Single-Cell Transcriptomics. Cell Reports. 26(12). 3272–3283.e3. 131 indexed citations

Neirijnck, Yasmine, Pierre Calvel, Karen Kilcoyne, et al.. (2018). Insulin and IGF1 receptors are essential for the development and steroidogenic function of adult Leydig cells. The FASEB Journal. 32(6). 3321–3335. 37 indexed citations

Neirijnck, Yasmine, Françoise Kühne, Chloé Mayère, et al.. (2018). Tumor Suppressor PTEN Regulates Negatively Sertoli Cell Proliferation, Testis Size, and Sperm Production In Vivo. Endocrinology. 160(2). 387–398. 25 indexed citations

Papaioannou, Marilena D., Mélanie Lagarrigue, Charles E. Vejnar, et al.. (2010). Loss of Dicer in Sertoli Cells Has a Major Impact on the Testicular Proteome of Mice. Molecular & Cellular Proteomics. 10(4). M900587–MCP200. 90 indexed citations

Papaioannou, Marilena D., Jean-Luc Pitetti, Seungil Ro, et al.. (2008). Sertoli cell Dicer is essential for spermatogenesis in mice. Developmental Biology. 326(1). 250–259. 155 indexed citations

Cederroth, Christopher R., Manlio Vinciguerra, Asllan Gjinovci, et al.. (2008). Dietary Phytoestrogens Activate AMP-Activated Protein Kinase With Improvement in Lipid and Glucose Metabolism. Diabetes. 57(5). 1176–1185. 159 indexed citations

10.

Cederroth, Christopher R., Manlio Vinciguerra, Françoise Kühne, et al.. (2007). A Phytoestrogen-Rich Diet Increases Energy Expenditure and Decreases Adiposity in Mice. Environmental Health Perspectives. 115(10). 1467–1473. 95 indexed citations

11.

Asensio, Cédric S., M. Ángeles Jiménez, Françoise Kühne, Françoise Rohner‐Jeanrenaud, & Patrick Muzzin. (2005). The Lack of β-Adrenoceptors Results in Enhanced Insulin Sensitivity in Mice Exhibiting Increased Adiposity and Glucose Intolerance. Diabetes. 54(12). 3490–3495. 29 indexed citations

12.

Jiménez, M. Ángeles, Cédric Yvon, Lorenz Lehr, et al.. (2002). Expression of uncoupling protein‐3 in subsarcolemmal and intermyofibrillar mitochondria of various mouse muscle types and its modulation by fasting. European Journal of Biochemistry. 269(12). 2878–2884. 43 indexed citations

13.

Giacobino, Jean‐Paul, Louis Përusse, Michel Lacaille, et al.. (2001). Association Between Uncoupling Protein 3 Gene and Obesity-Related Phenotypes in the Québec Family Study. Molecular Medicine. 7(7). 433–441. 31 indexed citations

14.

Boss, Olivier, Sonia Samec, Françoise Kühne, et al.. (1998). Uncoupling Protein-3 Expression in Rodent Skeletal Muscle Is Modulated by Food Intake but Not by Changes in Environmental Temperature. Journal of Biological Chemistry. 273(1). 5–8. 257 indexed citations

15.

Muzzin, Patrick, J P Revelli, Françoise Kühne, et al.. (1991). An adipose tissue-specific beta-adrenergic receptor. Molecular cloning and down-regulation in obesity.. Journal of Biological Chemistry. 266(35). 24053–24058. 256 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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