Adrian Tassoni

571 total citations
10 papers, 158 citations indexed

About

Adrian Tassoni is a scholar working on Molecular Biology, Genetics and General Health Professions. According to data from OpenAlex, Adrian Tassoni has authored 10 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 3 papers in General Health Professions. Recurrent topics in Adrian Tassoni's work include Neurogenetic and Muscular Disorders Research (3 papers), Genomics and Rare Diseases (2 papers) and Muscle Physiology and Disorders (2 papers). Adrian Tassoni is often cited by papers focused on Neurogenetic and Muscular Disorders Research (3 papers), Genomics and Rare Diseases (2 papers) and Muscle Physiology and Disorders (2 papers). Adrian Tassoni collaborates with scholars based in Germany, Spain and Canada. Adrian Tassoni's co-authors include Janbernd Kirschner, Hanns Lochmüller, Astrid Pechmann, Maggie C. Walter, David Schorling, Ulrike Schara, Sabine Stein, Günther Bernert, Sibylle Emilie Vogt and Volker Straub and has published in prestigious journals such as Orphanet Journal of Rare Diseases, JMIR mhealth and uhealth and Neuropediatrics.

In The Last Decade

Adrian Tassoni

9 papers receiving 155 citations

Peers

Adrian Tassoni

GENET

SURGE

MB

RHEUM

GENET

Lucia Tarantino Italy

Caroline Stalens France

Emily J. Todd United States

Nur Imma Fatimah Harahap Japan

Loren Price Australia

Ai Sakonju United States

Jena M. Krueger United States

Saskia Bolz Germany

Eva Also‐Rallo Spain

Marina Flotats‐Bastardas Germany

Lucia Tarantino Italy

Adrian Tassoni

38 ×0.5

GENET

36 ×0.5

SURGE

54 ×0.8

MB

14 ×0.9

RHEUM

6 ×0.4

GENET

Citations per year, relative to Adrian Tassoni Adrian Tassoni (= 1×) peers Lucia Tarantino

Countries citing papers authored by Adrian Tassoni

Since Specialization

Citations

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

Fields of papers citing papers by Adrian Tassoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Tassoni

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Tassoni. A scholar is included among the top collaborators of Adrian Tassoni 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 Adrian Tassoni. Adrian Tassoni 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

1.

Wilkinson, Mark D., Adrian Tassoni, António Atalaia, et al.. (2025). The FAIR journey of a patient-driven registry: Reflections and practical solutions from the Duchenne Data Platform FAIRification experience. Journal of Neuromuscular Diseases. 708690105–708690105.

2.

Glattacker, Manuela, et al.. (2020). Evaluation of a Mobile Phone App for Patients With Pollen-Related Allergic Rhinitis: Prospective Longitudinal Field Study. JMIR mhealth and uhealth. 8(4). e15514–e15514. 15 indexed citations

3.

Pechmann, Astrid, Simone Thiele, Maggie C. Walter, et al.. (2019). De-duplicating patient records from three independent data sources reveals the incidence of rare neuromuscular disorders in Germany. Orphanet Journal of Rare Diseases. 14(1). 152–152. 17 indexed citations

4.

Pechmann, Astrid, Günther Bernert, Ulrike Schara, et al.. (2019). SMArtCARE - A platform to collect real-life outcome data of patients with spinal muscular atrophy. Orphanet Journal of Rare Diseases. 14(1). 18–18. 65 indexed citations

5.

Pechmann, Astrid, Simone Thiele, Maggie C. Walter, et al.. (2019). De-duplicating Patient Records from Three Independent Data Sources Reveals the Incidence of Rare Neuromuscular Disorders in Germany. Neuropediatrics. 1 indexed citations

6.

Tassoni, Adrian, et al.. (2019). Establishing an Interoperable Clinical Trial Information System Within MIRACUM. Studies in health technology and informatics. 258. 216–220. 1 indexed citations

7.

Zens, Martin, et al.. (2017). Development of a Modular Research Platform to Create Medical Observational Studies for Mobile Devices. JMIR Research Protocols. 6(5). e99–e99. 12 indexed citations

8.

Jenkner, Carolin, Thomas Flury, Adrian Tassoni, et al.. (2016). A Registry for Evaluation of Efficiency and Safety of Surgical Treatment of Cartilage Defects: The German Cartilage Registry (KnorpelRegister DGOU). JMIR Research Protocols. 5(2). e122–e122. 21 indexed citations

9.

Tassoni, Adrian, et al.. (2014). The TREAT-NMD Care and Trial Site Registry: A powerful tool for clinical research on neurodegenerative and neuromuscular diseases. Figshare. 1 indexed citations

10.

Lochmüller, Hanns, Adrian Tassoni, Kate Bushby, et al.. (2013). The TREAT-NMD care and trial site registry: an online registry to facilitate clinical research for neuromuscular diseases. Orphanet Journal of Rare Diseases. 8(1). 171–171. 25 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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