Miklós Bodor

533 citations
36 papers · 335 · h-index 10

Impact in

Papers in

Miklós Bodor

30 papers receiving 329 citations

Peers

Miklós Bodor
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 161
  • Pathology and Forensic Medicine 59
  • Oncology 73
  • Pharmacology 23
  • Pediatrics, Perinatology and Child Health 47
Replace Süleyman Hilmi İpekçi with:
Süleyman Hilmi İpekçi Türkiye
Jinshan Wu China
Frans Martens Netherlands
Hao Xie China
S-L Wang China
Saliha Aksun Türkiye
Selma Andréa Cavalli Brazil
Tomislav Bulum Croatia
Hisamoto Kuroda Japan
Miklós Bodor relative to Süleyman Hilmi İpekçi Türkiye Süleyman Hilmi İpekçi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Miklós Bodor

Since Specialization
Citations

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

Fields of papers citing papers by Miklós Bodor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201992
2 200574
3 201420
4 201717
5 200915
6 202212
7 201012
8 202210
9
Effect of thyroid hormone status and concomitant medication on statin induced adverse effects in hyperlipidemic patients.
20149
10 20209
11 20218
12 20127
13 20217
14 20236
15 20215
16 20114
17 20043
18 20223
19 20253
20
The c.-133A > G polymorphism in NPC1L1 gene influences the efficacy of ezetimibe monotherapy on apolipoprotein A1 in hyperlipidemic patients.
20143

About Miklós Bodor

Miklós Bodor is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Surgery, Molecular Biology and Neurology, having authored 36 papers that have together received 335 indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Thyroid Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Glaucoma and retinal disorders (4 papers), Fibroblast Growth Factor Research (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (161 citations), Pathology and Forensic Medicine (59 citations), Oncology (73 citations), Pharmacology (23 citations) and Pediatrics, Perinatology and Child Health (47 citations). Miklós Bodor has collaborated with scholars based in Hungary, United States and Denmark. Frequent co-authors include Rodney J. Y. Ho, Endre V. Nagy, Eszter Berta, Annamária Erdei, Mariann Harangi, Dénes Páll, Miklós Zrı́nyi, György Paragh, Bernadett Ujhelyi and Ferenc Győry. Their work appears in journals such as Frontiers in Endocrinology, Atherosclerosis, Investigative Ophthalmology & Visual Science, Endocrine Connections and Biomedicines.

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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