József Varga

2.7k citations
118 papers · 2.1k indexed · h-index 23

Impact in

Papers in

József Varga

108 papers receiving 2.1k citations

Peers

József Varga
Comparison fields: 5 of 133
  • Pathology and Forensic Medicine 534
  • Dermatology 191
  • Endocrinology, Diabetes and Metabolism 333
  • Complementary and Manual Therapy 38
  • Neurology 210
Replace Kenji Yoshikawa with:
Kenji Yoshikawa Japan
Yue Fang China
Jo Van Dorpe Belgium
Takashi Ono Japan
Feng Xu China
Satish Rattan United States
Barry E. Chatterton Australia
Paolo Emidio Macchia Italy
Mazen M. Dimachkie United States
María I. Gaitán United States
József Varga relative to Kenji Yoshikawa Japan Kenji Yoshikawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by József Varga

Since Specialization
Citations

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

Fields of papers citing papers by József Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20232
3 202010
4 201921
5 20183
6 20186
7 20172
8 201317
9 20122
10 201211
11 20101
12 201023
13 201014
14 200729
15 200717
16 200312
17
[PET and SPECT scans in autistic children].
200216
18 199858
19
CONVERSIONS BETWEEN HUNGARIAN MAP PROJECTION SYSTEMS
19962
20 19963

About József Varga

József Varga is a scholar working on Complementary and Manual Therapy, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Geography, Planning and Development, having authored 118 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Pituitary Gland Disorders and Treatments (10 papers), Cardiac Imaging and Diagnostics (8 papers), Ophthalmology and Eye Disorders (8 papers), Systemic Sclerosis and Related Diseases (8 papers), Advanced MRI Techniques and Applications (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (534 citations), Dermatology (191 citations), Endocrinology, Diabetes and Metabolism (333 citations), Complementary and Manual Therapy (38 citations) and Neurology (210 citations). József Varga has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Zsolt Szabó, Andrew V. Schally, P. Clements, Virginia Steen, Mary C. Massa, Peter A. Lachenbruch, A J Silman, Paul Brennan, James R. Seibold and Benny Zee. Their work appears in journals such as Nuclear Medicine Communications, International Journal of Oncology, European Journal of Nuclear Medicine and Molecular Imaging, Clinical Chemistry and Laboratory Medicine (CCLM) and Thyroid.

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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