László Bajnok

36 papers receiving 954 citations

Peers

László Bajnok
Comparison fields: 5 of 86
  • Nephrology 206
  • Clinical Biochemistry 132
  • Endocrinology, Diabetes and Metabolism 237
  • Physiology 177
  • Endocrine and Autonomic Systems 43
Replace Yu‐Shien Ko with:
Yu‐Shien Ko Taiwan
Nobuyuki Banba Japan
Mitsuo Tanimoto Japan
Dariusz Moczulski Poland
Jianmin Ran China
Fabrizio Grosjean Italy
Satoshi Minami Japan
Satish RamachandraRao United States
Fone‐Ching Hsiao Taiwan
Xiaofen Xiong China
László Bajnok relative to Yu‐Shien Ko Taiwan Yu‐Shien Ko's profile →
Citations per field
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Citations per year

Countries citing papers authored by László Bajnok

Since Specialization
Citations

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

Fields of papers citing papers by László Bajnok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013187
2 2003127
3 2005117
4 201042
5 201240
6 201638
7 200735
8 199933
9 200433
10 200231
11 200931
12 201729
13 200727
14 201526
15 200825
16 200423
17 199421
18 201118
19 201414
20 202113

About László Bajnok

László Bajnok is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Pharmacology, Clinical Biochemistry and Epidemiology, having authored 42 papers that have together received 989 indexed citations. Recurring topics across this work include Apelin-related biomedical research (9 papers), Paraoxonase enzyme and polymorphisms (8 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Hormonal Regulation and Hypertension (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Hibiscus Plant Research Studies (3 papers). The work is most often cited by research in Nephrology (206 citations), Clinical Biochemistry (132 citations), Endocrinology, Diabetes and Metabolism (237 citations), Physiology (177 citations) and Endocrine and Autonomic Systems (43 citations). László Bajnok has collaborated with scholars based in Hungary, United States and Denmark. Frequent co-authors include Emese Mezősi, Ormond A. MacDougald, I. Serés, Hjalmar Lagast, György Paragh, Sona Kang, Kenneth Longo, Karsten Kristiansen, Rasmus K. Petersen and Jacob B. Hansen. Their work appears in journals such as European Journal of Endocrinology, Experimental and Clinical Endocrinology & Diabetes, Journal of Clinical Medicine, European Journal of Nuclear Medicine and Molecular Imaging and Molecular and Cellular Biology.

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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