Thomas Cassini

417 citations
15 papers · 78 · h-index 6

Impact in

Papers in

    • Genomics and Rare Diseases 5
    • Genetics and Neurodevelopmental Disorders 1
    • Dermatological and Skeletal Disorders 1
    • Mitochondrial Function and Pathology 1
    • Muscle Physiology and Disorders 1

Thomas Cassini

12 papers receiving 76 citations

Peers

Thomas Cassini
Comparison fields: 5 of 43
  • Health Informatics 2
  • Cellular and Molecular Neuroscience 15
  • Neuropsychology and Physiological Psychology 1
  • Genetics 6
  • Family Practice 1
Replace Véronique Manel with:
Véronique Manel France
Sarah Grotto France
August Allocco United States
C. Scott Gallagher United States
Emregül Işık Türkiye
Alba Sanchis-Juan United States
Faith Conroy United States
Jonna Komulainen‐Ebrahim Finland
Ivana Jedličková Czechia
Dulika Sumathipala Sri Lanka
Thomas Cassini relative to Véronique Manel France Véronique Manel's profile →
Citations per field
00.5×5.6×
Véronique Manel · 1×
Citations per year

Countries citing papers authored by Thomas Cassini

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Cassini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Cassini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Cassini Line = papers co-authored together Thomas Cassini links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201924
2 202412
3 20227
4 20236
5 20186
6 20226
7 20254
8 20224
9 20224
10 20243
11 20251
12 20241
13 20260
14 20250
15 20250

About Thomas Cassini

Thomas Cassini is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Genetics, having authored 15 papers that have together received 78 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Medical Education and Admissions (1 paper), Metabolism and Genetic Disorders (1 paper), Mitochondrial Function and Pathology (1 paper), Dermatological and Skeletal Disorders (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Health Informatics (2 citations), Cellular and Molecular Neuroscience (15 citations), Neuropsychology and Physiological Psychology (1 citation), Genetics (6 citations) and Family Practice (1 citation). Thomas Cassini has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Rizwan Hamid, Joshua C. Denny, Chenjie Zeng, Joy D. Cogan, John H. Newman, Lisa A. Bastarache, Lynette Rives, Laura Duncan, Mary Koziura and David J. Schlueter. Their work appears in journals such as Journal of the American Medical Informatics Association, Neuromuscular Disorders, Human Genetics and Genomics Advances, Journal of Inherited Metabolic Disease and JAMA Internal Medicine.

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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