Léon Kautz

4.2k total citations · 2 hit papers
31 papers, 3.2k citations indexed

About

Léon Kautz is a scholar working on Hematology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Léon Kautz has authored 31 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hematology, 24 papers in Genetics and 15 papers in Nutrition and Dietetics. Recurrent topics in Léon Kautz's work include Iron Metabolism and Disorders (27 papers), Hemoglobinopathies and Related Disorders (23 papers) and Trace Elements in Health (15 papers). Léon Kautz is often cited by papers focused on Iron Metabolism and Disorders (27 papers), Hemoglobinopathies and Related Disorders (23 papers) and Trace Elements in Health (15 papers). Léon Kautz collaborates with scholars based in France, United States and Italy. Léon Kautz's co-authors include Elizabeta Nemeth, Tomas Ganz, Grace Jung, Marie‐Paule Roth, Hélène Coppin, Erika V. Valore, Stefano Rivella, Delphine Meynard, François Canonne‐Hergaux and Victoria Gabayan and has published in prestigious journals such as Nature Genetics, Blood and PLoS ONE.

In The Last Decade

Léon Kautz

30 papers receiving 3.1k citations

Hit Papers

Identification of erythroferrone as an erythroid regulato... 2009 2026 2014 2020 2014 2009 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of erythroferrone as an erythroid regulator of iron metabolism
    2014 806 citations Léon Kautz, Grace Jung et al. Nature Genetics profile →
  2. Lack of the bone morphogenetic protein BMP6 induces massive iron overload
    2009 464 citations Delphine Meynard, Léon Kautz et al. Nature Genetics profile →

Peers

Léon Kautz
Yelena Ginzburg United States
Elena Corradini Italy
Carla Casu United States
Joanne E. Levy United States
Maja Vujić Spasić Germany
Ella Guy United States
Barrie Woodcock United Kingdom
Arijit Biswas Germany
Josefin Ahnström United Kingdom
Imke C.A. Munnix Netherlands
Yelena Ginzburg United States
Léon Kautz
Citations per year, relative to Léon Kautz Léon Kautz (= 1×) peers Yelena Ginzburg

Countries citing papers authored by Léon Kautz

Since Specialization
Citations

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

Fields of papers citing papers by Léon Kautz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Léon Kautz

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

All Works

20 of 20 papers shown
1.
Roy, Maryline, et al.. (2025). Comparative analysis of dietary iron deprivation and supplementation in a murine model of colitis. FASEB BioAdvances. 7(5). e70007–e70007.
2.
Guillou, Hervé, et al.. (2024). Fibrinogen‐like 1: A hepatokine linking liver physiology to hematology. HemaSphere. 8(7). e115–e115. 2 indexed citations
3.
Desquesnes, Aurore, Marc Ruíz-Martínez, Grace Jung, et al.. (2024). The hepatokine FGL1 regulates hepcidin and iron metabolism during anemia in mice by antagonizing BMP signaling. Blood. 143(13). 1282–1292. 15 indexed citations
4.
Mina, Erica, Roberta Sartori, Elia Angelino, et al.. (2023). FK506 bypasses the effect of erythroferrone in cancer cachexia skeletal muscle atrophy. Cell Reports Medicine. 4(12). 101306–101306. 7 indexed citations
5.
Nai, Antonella, Mariateresa Pettinato, Alessia Pagani, et al.. (2017). Transient Reduction of Transferrin Saturation Contributes to Hepcidin Inhibition Independently of Erfe in Mice Treated with Erythropoietin. Blood. 130. 174–174. 1 indexed citations
6.
Latour, Chloé, Grace Jung, Nicolas Blanchard, et al.. (2016). Erythroferrone contributes to hepcidin repression in a mouse model of malarial anemia. Haematologica. 102(1). 60–68. 28 indexed citations
7.
Kautz, Léon, et al.. (2016). Erythroferrone Regulates Hepcidin Expression Independently of Matriptase 2. Blood. 128(22). 3616–3616. 2 indexed citations
8.
Kautz, Léon, Grace Jung, Xin Du, et al.. (2015). Erythroferrone contributes to hepcidin suppression and iron overload in a mouse model of β-thalassemia. Blood. 126(17). 2031–2037. 227 indexed citations
9.
Kautz, Léon, Grace Jung, Erika V. Valore, et al.. (2014). Identification of erythroferrone as an erythroid regulator of iron metabolism. Nature Genetics. 46(7). 678–684. 806 indexed citations breakdown →
10.
Kautz, Léon. (2014). L’érythroferrone, un régulateur érythroïde du métabolisme du fer. médecine/sciences. 30(10). 834–836. 2 indexed citations
11.
Kautz, Léon, Grace Jung, Elizabeta Nemeth, & Tomas Ganz. (2014). Erythroferrone contributes to recovery from anemia of inflammation. Blood. 124(16). 2569–2574. 115 indexed citations
12.
Kautz, Léon, Victoria Gabayan, Xuping Wang, et al.. (2013). Testing the Iron Hypothesis in a Mouse Model of Atherosclerosis. Cell Reports. 5(5). 1436–1442. 43 indexed citations
13.
Latour, Chloé, Léon Kautz, Céline Besson‐Fournier, et al.. (2013). Testosterone Perturbs Systemic Iron Balance Through Activation of Epidermal Growth Factor Receptor Signaling in the Liver and Repression of Hepcidin. Hepatology. 59(2). 683–694. 101 indexed citations
14.
Hadziahmetovic, Majda, Ying Song, Natalie Wolkow, et al.. (2011). Bmp6 Regulates Retinal Iron Homeostasis and Has Altered Expression in Age-Related Macular Degeneration. American Journal Of Pathology. 179(1). 335–348. 41 indexed citations
15.
Ramos, Emilio, Léon Kautz, Richard Rodríguez, et al.. (2011). Evidence for distinct pathways of hepcidin regulation by acute and chronic iron loading in mice. Hepatology. 53(4). 1333–1341. 194 indexed citations
16.
Kautz, Léon, et al.. (2010). Iron overload induces BMP6 expression in the liver but not in the duodenum. Haematologica. 96(2). 199–203. 50 indexed citations
17.
Deschemin, Jean‐Christophe, Léon Kautz, Andrew Ramsay, et al.. (2010). Iron-deficiency anemia from matriptase-2 inactivation is dependent on the presence of functional Bmp6. Blood. 117(2). 647–650. 27 indexed citations
18.
Meynard, Delphine, et al.. (2009). Lack of the bone morphogenetic protein BMP6 induces massive iron overload. Nature Genetics. 41(4). 478–481. 464 indexed citations breakdown →
19.
Kautz, Léon, Delphine Meynard, Annabelle Monnier, et al.. (2008). Iron regulates phosphorylation of Smad1/5/8 and gene expression of Bmp6, Smad7, Id1, and Atoh8 in the mouse liver. Blood. 112(4). 1503–1509. 356 indexed citations
20.

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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