László Galuska

1.2k citations
59 papers · 857 indexed · h-index 17

Impact in

Papers in

László Galuska

57 papers receiving 827 citations

Peers

László Galuska
Comparison fields: 5 of 95
  • Pathology and Forensic Medicine 297
  • Genetics 91
  • Endocrinology, Diabetes and Metabolism 142
  • Radiology, Nuclear Medicine and Imaging 134
  • Ophthalmology 49
Replace Cynthia St. Hilaire with:
Cynthia St. Hilaire United States
Karim Wahbi France
Kazuhiro Yoshimura Japan
Yanfeng Zhong China
Manuela Caroli Italy
Jennifer Moliterno United States
Mauro Pluderi Italy
Paul Emery United Kingdom
Francesco M. Salpietro Italy
Caterina Giannini United States
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Citations per field
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Cynthia St. Hilaire · 1×
Citations per year

Countries citing papers authored by László Galuska

Since Specialization
Citations

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

Fields of papers citing papers by László Galuska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008118
2 200599
3 200252
4 201543
5 200541
6 200435
7 199835
8 199933
9 200522
10 200520
11 201420
12 201518
13 200517
14 201517
15
[PET and SPECT scans in autistic children].
200216
16 200716
17 200916
18 198915
19 200915
20 201014

About László Galuska

László Galuska is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Ophthalmology and Neurology, having authored 59 papers that have together received 857 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Medical Imaging Techniques and Applications (11 papers), Ophthalmology and Eye Disorders (11 papers), Systemic Sclerosis and Related Diseases (7 papers), Cardiac Imaging and Diagnostics (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Abdominal Trauma and Injuries (4 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (297 citations), Genetics (91 citations), Endocrinology, Diabetes and Metabolism (142 citations), Radiology, Nuclear Medicine and Imaging (134 citations) and Ophthalmology (49 citations). László Galuska has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include József Varga, Endre V. Nagy, Lajos Trón, A Leövey, Miklós Emri, László Balkay, E. Bodolay, Teréz Márián, Ildikó Garai and Zsolt Szucs‐Farkas. Their work appears in journals such as Nuclear Medicine Communications, European Journal of Pharmaceutical Sciences, Thyroid, European Journal of Nuclear Medicine and Molecular Imaging and Journal of the Neurological Sciences.

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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