Judit Majnik

407 citations
17 papers · 283 · h-index 12

Impact in

Papers in

Judit Majnik

16 papers receiving 276 citations

Peers

Judit Majnik
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 77
  • Behavioral Neuroscience 14
  • Genetics 31
  • Ophthalmology 9
  • Rheumatology 14
Replace J Sowiński with:
J Sowiński Poland
Toshiyuki China Japan
Irene Weiss United States
Rita Indirli Italy
Christos Zois Greece
Rocío García‐Marín Spain
Christian Roux France
Cavit Çulha Türkiye
Mehmet Çelik Türkiye
Denise L. Cassidenti United States
Judit Majnik relative to J Sowiński Poland J Sowiński's profile →
Citations per field
00.5×4.5×
J Sowiński · 1×
Citations per year

Countries citing papers authored by Judit Majnik

Since Specialization
Citations

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

Fields of papers citing papers by Judit Majnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200941
2 200429
3 200627
4 202224
5
The variant N363S of glucocorticoid receptor in steroid-induced ocular hypertension in Hungarian patients treated with photorefractive keratectomy.
200722
6 200420
7 200620
8 201219
9 200419
10 200618
11 202313
12 202213
13 20046
14 20115
15 20045
16 20252
17 20230

About Judit Majnik

Judit Majnik is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology, Surgery, Oncology and Epidemiology, having authored 17 papers that have together received 283 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (3 papers), Estrogen and related hormone effects (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Bone health and osteoporosis research (2 papers), Neuroblastoma Research and Treatments (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Adrenal Hormones and Disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (77 citations), Behavioral Neuroscience (14 citations), Genetics (31 citations), Ophthalmology (9 citations) and Rheumatology (14 citations). Judit Majnik has collaborated with scholars based in Hungary, Brazil and United States. Frequent co-authors include Attila Patócs, Kàroly Rácz, Miklós Tóth, Katalin Balogh, Ágnes Szappanos, Gábor Borgulya, László Hunyady, György Nagy, Péter Gergics and Tamás Bender. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Steroids and Arthritis Research & Therapy.

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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