Flavia Guillem

923 total citations
11 papers, 349 citations indexed

About

Flavia Guillem is a scholar working on Genetics, Hematology and Physiology. According to data from OpenAlex, Flavia Guillem has authored 11 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Hematology and 5 papers in Physiology. Recurrent topics in Flavia Guillem's work include Hemoglobinopathies and Related Disorders (7 papers), Erythrocyte Function and Pathophysiology (5 papers) and Iron Metabolism and Disorders (5 papers). Flavia Guillem is often cited by papers focused on Hemoglobinopathies and Related Disorders (7 papers), Erythrocyte Function and Pathophysiology (5 papers) and Iron Metabolism and Disorders (5 papers). Flavia Guillem collaborates with scholars based in France, United States and Australia. Flavia Guillem's co-authors include Carole Beaumont, Bernard Grandchamp, Caroline Kannengiesser, Chloé Lescale, Peter E. Warburton, Dan Hasson, György Abrusán, Xiaoping Jin, Mark Westerman and Sarah Lawson and has published in prestigious journals such as Blood, Cell Death and Differentiation and BMC Genomics.

In The Last Decade

Flavia Guillem

10 papers receiving 343 citations

Peers

Flavia Guillem

HEMAT

GENET

MB

ND

GENET

Houda Hamdi‐Rozé France

Sara Luscieti Italy

Federica Perrone Italy

Dunja Ferring Germany

Ruth Suffolk United Kingdom

Michael Eisold Germany

Anagha Sawant United States

Hady Wardan Australia

Amy J. Lambert United States

Daniel Prins United Kingdom

Houda Hamdi‐Rozé France

Flavia Guillem

72 ×0.4

HEMAT

68 ×0.4

GENET

107 ×1.0

MB

58 ×0.7

ND

71 ×0.9

GENET

Citations per year, relative to Flavia Guillem Flavia Guillem (= 1×) peers Houda Hamdi‐Rozé

Countries citing papers authored by Flavia Guillem

Since Specialization

Citations

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

Fields of papers citing papers by Flavia Guillem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavia Guillem

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

All Works

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11 of 11 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.

Fouquet, Guillemette, Julien Rossignol, Laure Ricard, et al.. (2022). BLNK mutation associated with T-cell LGL leukemia and autoimmune diseases: Case report in hematology. Frontiers in Medicine. 9. 997161–997161.

3.

Guillem, Flavia, et al.. (2016). BID Cleavage Pattern Is a Novel Check-Point That Determines the Fate of Human Erythroid Progenitors (Differentiation or Apoptosis. Blood. 128(22). 397–397. 2 indexed citations

4.

Arlet, Jean‐Benoît, Flavia Guillem, Michaël Dussiot, et al.. (2016). Protein-based therapeutic for anemia caused by dyserythropoiesis. Expert Review of Proteomics. 13(11). 983–992. 10 indexed citations

5.

Hermine, Olivier, Muriel Tafflet, Flavia Guillem, et al.. (2015). Eighty percent of French sport winners in Olympic, World and Europeans competitions have mutations in the hemochromatosis HFE gene. Biochimie. 119. 1–5. 22 indexed citations

6.

Arlet, Jean‐Benoît, Jean‐Antoine Ribeil, Flavia Guillem, Olivier Hermine, & G. Courtois. (2015). Rôle d’HSP70 dans l’érythropoïèse inefficace des β-thalassémies majeures. médecine/sciences. 31(1). 9–11. 2 indexed citations

7.

Guillem, Flavia, Michaël Dussiot, Sébastien Causse, et al.. (2015). XPO1 (Exportin-1) Is a Major Regulator of Human Erythroid Differentiation. Potential Clinical Applications to Decrease Ineffective Erythropoiesis of Beta-Thalassemia. Blood. 126(23). 2368–2368. 2 indexed citations

8.

Guillem, Flavia, Caroline Kannengiesser, Claire Oudin, et al.. (2012). Inactive matriptase-2 mutants found in IRIDA patients still repress hepcidin in a transfection assay despite having lost their serine protease activity. Human Mutation. 33(9). 1388–1396. 23 indexed citations

9.

Silvestri, Laura, Flavia Guillem, Alessia Pagani, et al.. (2009). Molecular mechanisms of the defective hepcidin inhibition in TMPRSS6 mutations associated with iron-refractory iron deficiency anemia. Blood. 113(22). 5605–5608. 87 indexed citations

10.

Warburton, Peter E., Dan Hasson, Flavia Guillem, et al.. (2008). Analysis of the largest tandemly repeated DNA families in the human genome. BMC Genomics. 9(1). 533–533. 111 indexed citations

11.

Guillem, Flavia, Sarah Lawson, Caroline Kannengiesser, et al.. (2008). Two nonsense mutations in the TMPRSS6 gene in a patient with microcytic anemia and iron deficiency. Blood. 112(5). 2089–2091. 85 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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