Sara Nagy

481 citations
12 papers · 97 · h-index 6

Impact in

    • Neurogenetic and Muscular Disorders Research
    • Muscle Physiology and Disorders
    • Sphingolipid Metabolism and Signaling

Papers in

    • Muscle Physiology and Disorders 4
    • Sphingolipid Metabolism and Signaling 2
    • Peripheral Neuropathies and Disorders 3

Sara Nagy

12 papers receiving 96 citations

Peers

Sara Nagy
Comparison fields: 5 of 39
  • Genetics 13
  • Molecular Biology 59
  • Psychiatry and Mental health 12
  • Physiology 19
  • Pathology and Forensic Medicine 13
Replace Marina Di Marco with:
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Elisabeth Sarrazin France
C. Lilien France
Marcio Ferreira de Souza United States
Joseph McIntosh United States
Erika Schirinzi Italy
Dominik S. Westphal Germany
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Sara Nagy relative to Marina Di Marco United Kingdom Marina Di Marco's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sara Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Sara Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sara Nagy, 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 Sara Nagy Line = papers co-authored together Sara Nagy links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201924
2 201916
3 202014
4 202110
5 20199
6 20176
7 20225
8 20235
9 20193
10 20193
11 20231
12
[CONTRIBUTIONS ON THE BLOOD SUPPLY OF TUBULAR BONES IN SOME EXPERIMENTAL ANIMALS].
19631

About Sara Nagy

Sara Nagy is a scholar working on Molecular Biology, Neurology, Physiology, Pathology and Forensic Medicine and Psychiatry and Mental health, having authored 12 papers that have together received 97 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Peripheral Neuropathies and Disorders (3 papers), Multiple Sclerosis Research Studies (3 papers), Sphingolipid Metabolism and Signaling (2 papers), Cerebral Palsy and Movement Disorders (2 papers), Diet and metabolism studies (2 papers), Metabolism and Genetic Disorders (1 paper) and Graphene and Nanomaterials Applications (1 paper). The work is most often cited by research in Genetics (13 citations), Molecular Biology (59 citations), Psychiatry and Mental health (12 citations), Physiology (19 citations) and Pathology and Forensic Medicine (13 citations). Sara Nagy has collaborated with scholars based in Switzerland, France and Chile. Frequent co-authors include Dirk Fischer, Patricia Hafner, Simone Schmidt, Oliver Bieri, Tobias Derfuß, Sabine Schädelin, Jens Kühle, Leo H. Bonati, Bernhard F. Décard and Peter Fuhr. Their work appears in journals such as Journal of Visualized Experiments, Muscle & Nerve, Therapeutic Advances in Neurological Disorders, Cephalalgia and Neurology.

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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