Laszlo Tibor Nagy

25.0k citations
295 papers · 20.6k · 10 hit papers · h-index 62

Impact in

  • Immunology top 0.5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Peroxisome Proliferator-Activated Receptors
    • Retinoids in leukemia and cellular processes

Papers in

    • Immune cells in cancer 27
    • Immune Cell Function and Interaction 25
    • Peroxisome Proliferator-Activated Receptors 41
    • Retinoids in leukemia and cellular processes 36
    • Epigenetics and DNA Methylation 16

Laszlo Tibor Nagy

280 papers receiving 20.0k citations

Laszlo Tibor Nagy's Hit Papers

Safety of the oral factor XIa inhibitor asundexian compared with apixaban in patients with atrial fibrillation (PACIFIC-AF): a multicentre, randomised, double-blind, double-dummy, dose-finding phase 2 study 2022 · 245 citations
2450+9+19Years since publication50010001.5k

Peers

Laszlo Tibor Nagy
Comparison fields: 5 of 175
  • Immunology 4.0k
  • Molecular Biology 12.1k
  • Biochemistry 1.1k
  • Cancer Research 1.9k
  • Biochemistry 725
Replace Nobuyo Maeda with:
Nobuyo Maeda United States
Maria Febbraio United States
Roy L. Silverstein United States
Masatsugu Hori Japan
Thomas M. McIntyre United States
Marten H. Hofker Netherlands
Josef M. Pfeilschifter Germany
Norio Hayashi Japan
Myung‐Shik Lee South Korea
Anton M. Jetten United States
Laszlo Tibor Nagy relative to Nobuyo Maeda United States Nobuyo Maeda's profile →
Citations per field
00.5×2×3.0×
Nobuyo Maeda · 1×
Citations per year

Countries citing papers authored by Laszlo Tibor Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Tibor Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laszlo Tibor Nagy. 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 Laszlo Tibor Nagy. The network helps show where Laszlo Tibor Nagy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 295 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Oxidized LDL Regulates Macrophage Gene Expression through Ligand Activation of PPARγ
Hit paper breakdown →
19981629
2
PPARγ Promotes Monocyte/Macrophage Differentiation and Uptake of Oxidized LDL
Hit paper breakdown →
19981595
3
Nuclear Receptor Coactivator ACTR Is a Novel Histone Acetyltransferase and Forms a Multimeric Activation Complex with P/CAF and CBP/p300
Hit paper breakdown →
19971285
4
A PPARγ-LXR-ABCA1 Pathway in Macrophages Is Involved in Cholesterol Efflux and Atherogenesis
Hit paper breakdown →
20011215
5
Nuclear Receptor Repression Mediated by a Complex Containing SMRT, mSin3A, and Histone Deacetylase
Hit paper breakdown →
19971083
6
PPAR-γ dependent and independent effects on macrophage-gene expression in lipid metabolism and inflammation
Hit paper breakdown →
2001979
7
Role of the histone deacetylase complex in acute promyelocytic leukaemia
Hit paper breakdown →
1998956
8
PPARs are a unique set of fatty acid regulated transcription factors controlling both lipid metabolism and inflammation
Hit paper breakdown →
2011796
9 2008399
10 2010387
11 2004335
12 2000261
13 2004248
14
Safety of the oral factor XIa inhibitor asundexian compared with apixaban in patients with atrial fibrillation (PACIFIC-AF): a multicentre, randomised, double-blind, double-dummy, dose-finding phase 2 study
Hit paper breakdown →
2022245
15 1995229
16 2018202
17 2009199
18 2018197
19 2012182
20 2006170

About Laszlo Tibor Nagy

Laszlo Tibor Nagy is a scholar working on Immunology, Molecular Biology, Surgery, Gastroenterology and Genetics, having authored 295 papers that have together received 20.6k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (41 papers), Retinoids in leukemia and cellular processes (36 papers), Helicobacter pylori-related gastroenterology studies (30 papers), Immune cells in cancer (27 papers), Immune Cell Function and Interaction (25 papers), Estrogen and related hormone effects (17 papers), Epigenetics and DNA Methylation (16 papers) and Cholesterol and Lipid Metabolism (14 papers). The work is most often cited by research in Immunology (4.0k citations), Molecular Biology (12.1k citations), Biochemistry (1.1k citations), Cancer Research (1.9k citations) and Biochemistry (725 citations). Laszlo Tibor Nagy has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Ronald Evans, Peter Tontonoz, Jacqueline G. A. Alvarez, Richard Jirui Lin, Vilmos A. Thomázy, Zsolt Czimmerer, Attila Szántó, Tamás Varga, Hong-Wu Chen and Yaacov Barak. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Immunity, Molecular and Cellular Biology and Cell Death and Differentiation.

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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