Bence Ágg

1.1k total citations
49 papers, 558 citations indexed

About

Bence Ágg is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Bence Ágg has authored 49 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Cardiology and Cardiovascular Medicine and 14 papers in Genetics. Recurrent topics in Bence Ágg's work include Connective tissue disorders research (14 papers), MicroRNA in disease regulation (11 papers) and Aortic Disease and Treatment Approaches (11 papers). Bence Ágg is often cited by papers focused on Connective tissue disorders research (14 papers), MicroRNA in disease regulation (11 papers) and Aortic Disease and Treatment Approaches (11 papers). Bence Ágg collaborates with scholars based in Hungary, Germany and Austria. Bence Ágg's co-authors include Péter Ferdinandy, Béla Merkely, Miklós Pólos, Zoltán Szabolcs, Zoltán V. Varga, Tamás Radovits, Bálint Szilveszter, András Makkos, Kálmán Benke and Zsolt B. Nagy and has published in prestigious journals such as Bioinformatics, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Bence Ágg

49 papers receiving 553 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bence Ágg Hungary 15 200 173 168 155 104 49 558
Mohammed Shakil Ahmed Norway 13 351 1.8× 216 1.2× 74 0.4× 53 0.3× 72 0.7× 21 574
Liang‐Liang Fan China 13 310 1.6× 155 0.9× 83 0.5× 73 0.5× 45 0.4× 97 566
Tomonaga Matsushita Japan 12 270 1.4× 73 0.4× 212 1.3× 57 0.4× 64 0.6× 20 732
Christopher C. Sullivan United States 10 354 1.8× 335 1.9× 91 0.5× 419 2.7× 193 1.9× 12 895
Sander W. van der Laan Netherlands 14 251 1.3× 118 0.7× 152 0.9× 78 0.5× 70 0.7× 58 692
Sili Zou China 13 230 1.1× 114 0.7× 73 0.4× 327 2.1× 116 1.1× 32 651
Tomoaki Higo Japan 12 356 1.8× 253 1.5× 53 0.3× 77 0.5× 46 0.4× 21 678
Tatiana Tsoutsman Australia 15 360 1.8× 377 2.2× 67 0.4× 61 0.4× 64 0.6× 23 709
Clara Sze-Man Tang Hong Kong 18 243 1.2× 53 0.3× 272 1.6× 94 0.6× 44 0.4× 59 844

Countries citing papers authored by Bence Ágg

Since Specialization
Citations

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

Fields of papers citing papers by Bence Ágg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bence Ágg

This figure shows the co-authorship network connecting the top 25 collaborators of Bence Ágg. A scholar is included among the top collaborators of Bence Ágg 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 Bence Ágg. Bence Ágg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Al‐Khrasani, Mahmoud, Imre Boldizsár, Kornél Király, et al.. (2025). Do vitamins halt the COVID-19-evoked pro-inflammatory cytokines involved in the development of neuropathic pain?. Biomedicine & Pharmacotherapy. 189. 118346–118346. 1 indexed citations
3.
Marton, S., András Makkos, Kimberly Glass, et al.. (2024). Mitigating off‐target effects of small RNAs: conventional approaches, network theory and artificial intelligence. British Journal of Pharmacology. 182(2). 340–379. 26 indexed citations
4.
Pipis, Judit, András Makkos, Bence Ágg, et al.. (2024). Identification of New, Translatable ProtectomiRs against Myocardial Ischemia/Reperfusion Injury and Oxidative Stress: The Role of MMP/Biglycan Signaling Pathways. Antioxidants. 13(6). 674–674. 2 indexed citations
5.
Sayour, Nabil V., Viktória É. Tóth, Bence Ágg, et al.. (2024). Comparison of Mouse Models of Heart Failure with Reduced Ejection Fraction. ESC Heart Failure. 12(1). 87–100. 3 indexed citations
6.
Makkos, András, Tamás Baranyai, Zoltán Giricz, et al.. (2024). Cardioprotective microRNAs (protectomiRs) in a pig model of acute myocardial infarction and cardioprotection by ischaemic conditioning: MiR‐450a. British Journal of Pharmacology. 182(2). 396–416. 2 indexed citations
7.
Heger, Jacqueline, Zoltán V. Varga, Tamás Baranyai, et al.. (2023). YB-1 Is a Novel Target for the Inhibition of α-Adrenergic-Induced Hypertrophy. International Journal of Molecular Sciences. 25(1). 401–401. 2 indexed citations
8.
Sayour, Nabil V., Viktória É. Tóth, Zsófia Onódi, et al.. (2023). Droplet Digital PCR Is a Novel Screening Method Identifying Potential Cardiac G-Protein-Coupled Receptors as Candidate Pharmacological Targets in a Rat Model of Pressure-Overload-Induced Cardiac Dysfunction. International Journal of Molecular Sciences. 24(18). 13826–13826. 9 indexed citations
11.
Ágg, Bence, Miklós Pólos, Gábor Mátyás, et al.. (2021). Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review. Orphanet Journal of Rare Diseases. 16(1). 245–245. 10 indexed citations
12.
Ágg, Bence, Nóra Makra, Balázs Ligeti, et al.. (2021). The Nonsteroidal Anti-Inflammatory Drug Ketorolac Alters the Small Intestinal Microbiota and Bile Acids Without Inducing Intestinal Damage or Delaying Peristalsis in the Rat. Frontiers in Pharmacology. 12. 664177–664177. 9 indexed citations
13.
Sághy, Éva, Krisztina Pohóczky, András Makkos, et al.. (2021). Somatostatin and Its Receptors in Myocardial Ischemia/Reperfusion Injury and Cardioprotection. Frontiers in Pharmacology. 12. 663655–663655. 10 indexed citations
14.
Bors, András, Bence Ágg, Miklós Pólos, et al.. (2020). Optimising the mutation screening strategy in Marfan syndrome and identifying genotypes with more severe aortic involvement. Orphanet Journal of Rare Diseases. 15(1). 290–290. 21 indexed citations
15.
Pólos, Miklós, Kálmán Benke, Bence Ágg, et al.. (2020). Psychological factors affecting Marfan syndrome patients with or without cardiac surgery. Annals of Palliative Medicine. 9(5). 3007–3017. 6 indexed citations
16.
Ágg, Bence, et al.. (2019). Lung Function Changes are More Common in Marfan Patients Who Need Major Thoracic Surgery. Lung. 197(4). 465–472. 3 indexed citations
17.
Ágg, Bence, Tamás Baranyai, András Makkos, et al.. (2018). MicroRNA interactome analysis predicts post-transcriptional regulation of ADRB2 and PPP3R1 in the hypercholesterolemic myocardium. Scientific Reports. 8(1). 10134–10134. 19 indexed citations
18.
Benke, Kálmán, Bence Ágg, Miklós Pólos, et al.. (2017). The effects of acute and elective cardiac surgery on the anxiety traits of patients with Marfan syndrome. BMC Psychiatry. 17(1). 253–253. 18 indexed citations
19.
Ágg, Bence, Gábor Mátyás, Bálint Szilveszter, et al.. (2015). Gene polymorphisms as risk factors for predicting the cardiovascular manifestations in Marfan syndrome. Thrombosis and Haemostasis. 114(10). 748–756. 15 indexed citations
20.
Ágg, Bence, Bálint Szilveszter, Zsolt B. Nagy, et al.. (2013). The role of transforming growth factor-beta in Marfan syndrome. Cardiology Journal. 20(3). 227–234. 58 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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