Florian Thibord

657 total citations
18 papers, 126 citations indexed

About

Florian Thibord is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Hematology. According to data from OpenAlex, Florian Thibord has authored 18 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 5 papers in Hematology. Recurrent topics in Florian Thibord's work include Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Genetic Associations and Epidemiology (4 papers) and Pharmacology and Obesity Treatment (3 papers). Florian Thibord is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Genetic Associations and Epidemiology (4 papers) and Pharmacology and Obesity Treatment (3 papers). Florian Thibord collaborates with scholars based in United States, France and Netherlands. Florian Thibord's co-authors include Andrew D. Johnson, Melissa V. Chan, Ming‐Huei Chen, David‐Alexandre Trégouët, Bongani B. Nkambule, Claire Perret, Maguelonne Roux, Eimad Shotar, Frédéric Clarençon and Pierre Suchon and has published in prestigious journals such as Blood, Bioinformatics and Stroke.

In The Last Decade

Florian Thibord

15 papers receiving 126 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Thibord United States 6 31 30 21 21 21 18 126
Samy Selim United States 9 38 1.2× 125 4.2× 7 0.3× 8 0.4× 10 0.5× 14 237
Daniela Stallmann Germany 9 31 1.0× 112 3.7× 5 0.2× 15 0.7× 25 1.2× 23 235
Lotte Geys Belgium 6 14 0.5× 23 0.8× 3 0.1× 5 0.2× 10 0.5× 11 93
Piotr Szczudlik Poland 9 14 0.5× 19 0.6× 183 8.7× 53 2.5× 12 0.6× 15 245
Razi Alalqam Ireland 3 3 0.1× 31 1.0× 37 1.8× 61 2.9× 12 0.6× 4 129
Bibin Varghese United States 5 46 1.5× 38 1.3× 2 0.1× 4 0.2× 13 0.6× 10 181
Mariola Bednorz Germany 6 14 0.5× 61 2.0× 5 0.2× 13 0.6× 3 0.1× 8 195
Sara Daneshvar Iran 4 11 0.4× 18 0.6× 24 1.1× 5 0.2× 8 0.4× 11 111
В. В. Тыренко Russia 5 25 0.8× 46 1.5× 15 0.7× 22 1.0× 1 0.0× 44 128

Countries citing papers authored by Florian Thibord

Since Specialization
Citations

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

Fields of papers citing papers by Florian Thibord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Thibord

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

All Works

18 of 18 papers shown
1.
Thibord, Florian, Jennifer E. Huffman, Natàlia Pujol‐Gualdo, et al.. (2025). Genome-wide meta-analysis of heavy menstrual bleeding reveals 36 risk loci. Blood. 146(6). 745–758.
2.
Chan, Melissa V., Ming‐Huei Chen, Florian Thibord, et al.. (2024). Factors that modulate platelet reactivity as measured by 5 assay platforms in 3429 individuals. Research and Practice in Thrombosis and Haemostasis. 8(3). 102406–102406. 7 indexed citations
3.
Li, Chen, et al.. (2024). G protein–coupled receptor kinase 5 regulates thrombin signaling in platelets. Research and Practice in Thrombosis and Haemostasis. 8(6). 102556–102556.
4.
Nkambule, Bongani B., Florian Thibord, Melissa V. Chan, et al.. (2024). Cardiorespiratory Fitness Is Associated with Decreased Platelet Reactivity. Medicine & Science in Sports & Exercise. 56(11). 2195–2202.
5.
Haycock, Philip, Hermann Brenner, Jane C. Figueiredo, et al.. (2023). Causal relationships between risk of venous thromboembolism and 18 cancers: a bidirectional Mendelian randomization analysis. International Journal of Epidemiology. 53(1). 1 indexed citations
6.
Nkambule, Bongani B., et al.. (2023). The association between platelet reactivity and lipoprotein levels in Framingham Heart Study participants. Thrombosis Research. 225. 103–109. 4 indexed citations
7.
Kullaya, Vesla, Godfrey S. Temba, Collins K. Boahen, et al.. (2023). Genetic and nongenetic drivers of platelet reactivity in healthy Tanzanian individuals. Journal of Thrombosis and Haemostasis. 22(3). 805–817. 1 indexed citations
8.
Thibord, Florian & Andrew D. Johnson. (2023). Sources of variability in the human platelet transcriptome. Thrombosis Research. 231. 255–263. 4 indexed citations
9.
Chan, Melissa V., Bongani B. Nkambule, Florian Thibord, et al.. (2023). Trends among platelet function, arterial calcium, and vascular function measures. Platelets. 34(1). 2238835–2238835. 3 indexed citations
10.
Nkambule, Bongani B., et al.. (2023). Alcohol intake including wine drinking is associated with decreased platelet reactivity in a large population sample. International Journal of Epidemiology. 52(6). 1939–1950. 4 indexed citations
11.
Thibord, Florian, Melissa V. Chan, Ming‐Huei Chen, & Andrew D. Johnson. (2022). A year of COVID-19 GWAS results from the GRASP portal reveals potential genetic risk factors. Human Genetics and Genomics Advances. 3(2). 100095–100095. 32 indexed citations
12.
Chan, Melissa V., Florian Thibord, Bongani B. Nkambule, et al.. (2021). Serotonin‐Affecting Antidepressant Use in Relation to Platelet Reactivity. Clinical Pharmacology & Therapeutics. 111(4). 909–918. 22 indexed citations
13.
Thibord, Florian, Claire Perret, Pierre Suchon, et al.. (2020). Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis. European Heart Journal Supplements. 22(Supplement_C). C34–C45. 9 indexed citations
14.
Thibord, Florian, Noémie Saut, Louisa Goumidi, et al.. (2019). A Genome Wide Association Study on plasma FV levels identified PLXDC2 as a new modifier of the coagulation process. Journal of Thrombosis and Haemostasis. 17(11). 1808–1814. 4 indexed citations
15.
Thibord, Florian, Claire Perret, Maguelonne Roux, et al.. (2019). OPTIMIR, a novel algorithm for integrating available genome-wide genotype data into miRNA sequence alignment analysis. RNA. 25(6). 657–668. 6 indexed citations
16.
Suchon, Pierre, Françis Couturaud, David M. Smadja, et al.. (2019). Minor allele of the factor V K858R variant protects from venous thrombosis only in non-carriers of factor V Leiden mutation. Scientific Reports. 9(1). 3750–3750. 4 indexed citations
17.
Proust, Carole, Frédéric Clarençon, Alice Jacquens, et al.. (2018). Whole-Blood miRNA Sequencing Profiling for Vasospasm in Patients With Aneurysmal Subarachnoid Hemorrhage. Stroke. 49(9). 2220–2223. 22 indexed citations
18.
Khan, Waqasuddin, Thomas Ludwig, Florian Thibord, et al.. (2018). MACARON: a python framework to identify and re-annotate multi-base affected codons in whole genome/exome sequence data. Bioinformatics. 34(19). 3396–3398. 3 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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