Leema Robert

5.3k total citations
10 papers, 352 citations indexed

About

Leema Robert is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Leema Robert has authored 10 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Leema Robert's work include Connective tissue disorders research (5 papers), Aortic Disease and Treatment Approaches (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). Leema Robert is often cited by papers focused on Connective tissue disorders research (5 papers), Aortic Disease and Treatment Approaches (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). Leema Robert collaborates with scholars based in United Kingdom, Belgium and Netherlands. Leema Robert's co-authors include Julie De Backer, Michael Frank, Melanie Pepin, James H. Black, Diana Johnson, Peter H. Byers, Xavier Jeunemaı̂tre, John W. Belmont, Nigel Wheeldon and Joost Schalkwijk and has published in prestigious journals such as Heart, British Medical Bulletin and Orphanet Journal of Rare Diseases.

In The Last Decade

Leema Robert

9 papers receiving 344 citations

Peers

Leema Robert

GENET

PRM

SURGE

CCM

Jean‐Michaël Mazzella France

Anne‐Laure Fauret France

Fleur S van Dijk Netherlands

Anne De Paepe Belgium

Benjamin F. Griswold United States

Anthony Vandersteen United Kingdom

Frank Tiecke Germany

Vassil Kaimaktchiev United States

P. Renwick United Kingdom

Carol Booth United States

Jean‐Michaël Mazzella France

Leema Robert

252 ×1.0

GENET

83 ×0.8

PRM

68 ×0.9

SURGE

78 ×1.1

53 ×0.7

CCM

Citations per year, relative to Leema Robert Leema Robert (= 1×) peers Jean‐Michaël Mazzella

Countries citing papers authored by Leema Robert

Since Specialization

Citations

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

Fields of papers citing papers by Leema Robert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leema Robert

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

All Works

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10 of 10 papers shown

Bastiaenen, Rachel, Antonis Pantazis, Leema Robert, et al.. (2024). The development of inherited cardiac conditions services: current position and future perspectives. British Medical Bulletin. 150(1). 11–22. 4 indexed citations

Low, Karen, Ramya Nair, Francis H. Sansbury, et al.. (2023). Expanding the phenotypic spectrum of Chromosome 16p13.11 microduplication: A multicentric analysis of 206 patients. European Journal of Medical Genetics. 66(4). 104714–104714. 2 indexed citations

Laar, Ingrid M.B.H. van de, Annette F. Baas, Julie De Backer, et al.. (2022). Surveillance and monitoring in vascular Ehlers-Danlos syndrome in European Reference Network For Rare Vascular Diseases (VASCERN). European Journal of Medical Genetics. 65(9). 104557–104557. 8 indexed citations

Paglialonga, Alessia, et al.. (2021). eHealth for patients with rare diseases: the eHealth Working Group of the European Reference Network on Rare Multisystemic Vascular Diseases (VASCERN). Orphanet Journal of Rare Diseases. 16(1). 164–164. 6 indexed citations

Kodolitsch, Yskert Von, Anthony Demolder, Evaldas Girdauskas, et al.. (2019). Features of Marfan syndrome not listed in the Ghent nosology – the dark side of the disease. Expert Review of Cardiovascular Therapy. 17(12). 883–915. 45 indexed citations

Byers, Peter H., John W. Belmont, James H. Black, et al.. (2017). Diagnosis, natural history, and management in vascular Ehlers–Danlos syndrome. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 175(1). 40–47. 221 indexed citations

Demirdas, Serwet, Leema Robert, Marlies Kempers, et al.. (2016). Recognizing the tenascin‐X deficient type of Ehlers–Danlos syndrome: a cross‐sectional study in 17 patients. Clinical Genetics. 91(3). 411–425. 46 indexed citations

Byrne, Susan, Nomazulu Dlamini, Daniel E. Lumsden, et al.. (2015). SIL1-related Marinesco–Sjoegren syndrome (MSS) with associated motor neuronopathy and bradykinetic movement disorder. Neuromuscular Disorders. 25(7). 585–588. 12 indexed citations

Frigiola, Alessandra, Leema Robert, Adam Shaw, et al.. (2015). Vascular manifestations of syndromic aortopathies: role of current and emerging imaging techniques. Clinical Radiology. 70(12). 1344–1354. 8 indexed citations

10.

Gable, Mary, Ruth Newbury‐Ecob, Colin G. Steward, et al.. (2015). 196 Paediatric Cardiomyopathy (PC); The Validation, Implementation and Utility of a 71 Gene NGS Diagnostic Panel to Detect Variants in Rare Cardiac Genes. Heart. 101(Suppl 4). A109.1–A109.

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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