László Bajnok

15.4k total citations · 1 hit paper
14 papers, 844 citations indexed

About

László Bajnok is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, László Bajnok has authored 14 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Cancer Research. Recurrent topics in László Bajnok's work include Lipoproteins and Cardiovascular Health (6 papers), Cancer, Lipids, and Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). László Bajnok is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Cancer, Lipids, and Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). László Bajnok collaborates with scholars based in Hungary, United States and Norway. László Bajnok's co-authors include Kenneth Longo, Sarah E. Ross, Ormond A. MacDougald, Nahid Hemati, Kirk W. Johnson, Stephen D. Harrison, Christina N. Bennett, Samir Hanash, Robin L. Erickson and Lise Madsen and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Orvosi Hetilap.

In The Last Decade

László Bajnok

11 papers receiving 830 citations

Hit Papers

Regulation of Wnt Signaling during Adipogenesis 2002 2026 2010 2018 2002 200 400 600

Peers

László Bajnok
Kevin Wroblewski United States
Kazumi Ishimura‐Oka United States
Prashant Rajbhandari United States
Suzanne N. Shapira United States
Joanna R. DiSpirito United States
Carly Cederquist United States
Kevin Wroblewski United States
László Bajnok
Citations per year, relative to László Bajnok László Bajnok (= 1×) peers Kevin Wroblewski

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-authorship network of co-authors of László Bajnok

This figure shows the co-authorship network connecting the top 25 collaborators of László Bajnok. A scholar is included among the top collaborators of László Bajnok based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with László Bajnok. László Bajnok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
Márk, László, et al.. (2020). Az ESC/EAS 2019. évi lipidajánlása, az LDL-koleszterin-célérték elérésének lehetőségei szívinfarktuson átesett, igen nagy kockázatú betegekben. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 50(4). 298–302. 1 indexed citations
3.
Márk, László, László Bajnok, & István Reiber. (2020). Gondolatok a 2019. évi új európai dyslipidaemia és krónikus koronáriaszindróma ajánlások kapcsán. 50(5). 378–381.
4.
Bajnok, László. (2020). Koleszterincsökkentés idősek, szívelégtelenek, veseelégtelenek, alacsony kockázatúak speciális alcsoportjaiban a nemzetközi ajánlások nyomán. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 50(6). 432–437. 1 indexed citations
5.
Bajnok, László. (2019). Időseknek statin, primer prevencióban?. 23(1). 4–7. 1 indexed citations
6.
Karádi, István, Róbert Gábor Kiss, György Paragh, et al.. (2018). Kardiovaszkuláris kockázatbesorolás: igen nagy, nagy, közepes, kis kockázat 2017. 48(2). 141–145. 1 indexed citations
7.
Bajnok, László. (2018). Újabb lipidológiai evidenciák és ajánlások. Orvosi Hetilap. 159(32). 1303–1309. 2 indexed citations
8.
9.
Bajnok, László. (2014). HDL vagy non-HDL: az itt a kérdés.A residualis dyslipidaemia gyógyszeres kezelésének lehetőségei | HDL, or non-HDL: that is the question. Possibilities of pharmacological treatment in residual dyslipidaemia. 1 indexed citations
10.
Lakatos, Péter L., László Bajnok, Hjalmar Lagast, & Zsuzsanna Valkusz. (2014). The REPEAT Study: An open-label clinical trial evaluating the safety and efficacy of recombinant human parathyroid hormone, rhPTH(1-84), for the treatment of hypoparathyroidism in hungary. Endocrine Abstracts. 1 indexed citations
12.
Bennett, Christina N., Sarah E. Ross, Kenneth Longo, et al.. (2002). Regulation of Wnt Signaling during Adipogenesis. Journal of Biological Chemistry. 277(34). 30998–31004. 627 indexed citations breakdown →
13.
Ross, Sarah E., Robin L. Erickson, Isabelle Gerin, et al.. (2002). Microarray Analyses during Adipogenesis: Understanding the Effects of Wnt Signaling on Adipogenesis and the Roles of Liver X Receptor α in Adipocyte Metabolism. Molecular and Cellular Biology. 22(16). 5989–5999. 206 indexed citations
14.
Bajnok, László, et al.. (1995). [Clinical and biochemical parameters of patients with vascular stenosis in the lower extremities in the stage of intermittent claudication].. PubMed. 136(16). 817–22. 1 indexed citations

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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