Sara Nagy

502 citations
12 papers · 101 · h-index 7

Impact in

Papers in

    • Muscle Physiology and Disorders 4
    • Glycosylation and Glycoproteins Research 1
    • Diet and metabolism studies 2

Sara Nagy

12 papers receiving 100 citations

Peers

Sara Nagy
Comparison fields: 5 of 38
  • Genetics 9
  • Molecular Biology 54
  • Psychiatry and Mental health 9
  • Pathology and Forensic Medicine 10
  • Physiology 14
Replace Karen Naismith with:
Karen Naismith United Kingdom
Sasha Živković United States
Suliman Khan Pakistan
Joseph McIntosh United States
Hiroshi Nakazora Japan
Brigitte Mignot France
Minal S. Jain United States
Ling Jun Huan Canada
Ilaria Viganò Italy
Marcio Ferreira de Souza United States
Sara Nagy relative to Karen Naismith United Kingdom Karen Naismith's profile →
Citations per field
00.5×3.4×
Karen Naismith · 1×
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 201917
3 202014
4 202111
5 20199
6 20226
7 20176
8 20235
9 20193
10 20193
11 20232
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, Physiology, Pathology and Forensic Medicine, Neurology and Biomedical Engineering, having authored 12 papers that have together received 101 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Multiple Sclerosis Research Studies (2 papers), Diet and metabolism studies (2 papers), Orthopedic Surgery and Rehabilitation (1 paper), Glycosylation and Glycoproteins Research (1 paper), Muscle metabolism and nutrition (1 paper), Graphene and Nanomaterials Applications (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Genetics (9 citations), Molecular Biology (54 citations), Psychiatry and Mental health (9 citations), Pathology and Forensic Medicine (10 citations) and Physiology (14 citations). Sara Nagy has collaborated with scholars based in Switzerland, Chile and France. Frequent co-authors include Dirk Fischer, Simone Schmidt, Patricia Hafner, Oliver Bieri, Tobias Derfuß, Jens Kühle, Sabine Schädelin, Bernhard F. Décard, Peter Fuhr and Regina Schlaeger. Their work appears in journals such as Journal of Visualized Experiments, Clinical Genetics, Neurology, Cephalalgia and Therapeutic Advances in Neurological Disorders.

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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