Ildikó Molnár

564 citations
38 papers · 433 indexed · h-index 12

Impact in

Papers in

Ildikó Molnár

34 papers receiving 400 citations

Peers

Ildikó Molnár
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 186
  • Pathology and Forensic Medicine 168
  • Ophthalmology 55
  • Immunology 80
  • Rheumatology 42
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Nilusha Manji United Kingdom
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Iris M.M.J. Wakelkamp Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Ildikó Molnár

Since Specialization
Citations

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

Fields of papers citing papers by Ildikó Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199760
2 201352
3 197641
4 201340
5 199738
6 199732
7 200021
8 200219
9 200717
10
Euthyroid sick syndrome and inhibitory effect of sera on the activity of thyroid 5'-deiodinase in systemic sclerosis.
200112
11 200611
12 199511
13 201910
14
Detectable serum IgE levels in Graves' ophthalmopathy.
19969
15
Anti-platelet antibodies against gpIIb/IIIa in systemic sclerosis.
19957
16
Evaluation of thyroid function and anti-thyroid autoantibodies in systemic sclerosis.
19926
17 19925
18 19924
19
Graves' ophthalmopathy, eye muscle antibodies and HLA antigens.
19894
20
Comparative study on IgG and IgA antibodies against human thyroid and eye-muscle antigens in Graves' ophthalmopathy.
19914

About Ildikó Molnár

Ildikó Molnár is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Immunology, Genetics and Neurology, having authored 38 papers that have together received 433 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (18 papers), Ophthalmology and Eye Disorders (11 papers), Autoimmune Neurological Disorders and Treatments (5 papers), Systemic Sclerosis and Related Diseases (4 papers), Glaucoma and retinal disorders (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (186 citations), Pathology and Forensic Medicine (168 citations), Ophthalmology (55 citations), Immunology (80 citations) and Rheumatology (42 citations). Ildikó Molnár has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Csaba Balázs, G.L. Gitnick, László Czirják, Nadir R. Farid, Éva Kiss, Sándor Sipka, Gyula Szegedi, N.R. Farid, E. Kiss and Joseph Szabö. Their work appears in journals such as Cytokine, Gastroenterology, Cancer, Annals of Oncology and Immunology Letters.

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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