László Galuska

1.2k citations
61 papers · 916 · h-index 17

Impact in

Papers in

László Galuska

58 papers receiving 880 citations

Peers

László Galuska
Comparison fields: 5 of 89
  • Pathology and Forensic Medicine 274
  • Genetics 88
  • Endocrinology, Diabetes and Metabolism 94
  • Radiology, Nuclear Medicine and Imaging 123
  • Oncology 111
Replace Karim Wahbi with:
Karim Wahbi France
Hao Hu China
Kari Ylitalo Finland
Paul Emery United Kingdom
Francesco M. Salpietro Italy
Vincenzo D’Angelo Italy
Shuyu Hao China
Jennifer Moliterno United States
Manuela Caroli Italy
Tobias Höller Germany
László Galuska relative to Karim Wahbi France Karim Wahbi's profile →
Citations per field
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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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008128
2 2005112
3 200253
4 201544
5 200542
6 200439
7 199835
8 199935
9 200522
10 200521
11 201421
12 201519
13 201518
14 200918
15 200517
16 200217
17 200716
18
[PET and SPECT scans in autistic children].
200216
19 200916
20 201015

About László Galuska

László Galuska is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 61 papers that have together received 916 indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (11 papers), Medical Imaging Techniques and Applications (10 papers), Pituitary Gland Disorders and Treatments (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Systemic Sclerosis and Related Diseases (5 papers), Cardiac Imaging and Diagnostics (4 papers), Abdominal Trauma and Injuries (4 papers) and Neurological Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (274 citations), Genetics (88 citations), Endocrinology, Diabetes and Metabolism (94 citations), Radiology, Nuclear Medicine and Imaging (123 citations) and Oncology (111 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, E. Bodolay, Miklós Emri, László Balkay, Katalin Dévényi, Zoltán Szekanecz and Judit Végh. Their work appears in journals such as Nuclear Medicine Communications, European Journal of Pharmaceutical Sciences, Journal of the Neurological Sciences, Thyroid and European Journal of Nuclear Medicine and Molecular Imaging.

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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