Bence Ágg

49 papers receiving 553 citations

Peers

Bence Ágg
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 173
  • Cancer Research 104
  • Genetics 168
  • Pulmonary and Respiratory Medicine 155
  • Pathology and Forensic Medicine 72
Replace Mohammed Shakil Ahmed with:
Mohammed Shakil Ahmed Norway
Tomonaga Matsushita Japan
Liang‐Liang Fan China
Christopher C. Sullivan United States
Tomoaki Higo Japan
Sérgio Kaiser Brazil
Yukio Horie Japan
Taizo Kimura Japan
Jason Centracchio United States
Bence Ágg relative to Mohammed Shakil Ahmed Norway Mohammed Shakil Ahmed's profile →
Citations per field
00.5×4.3×
Mohammed Shakil Ahmed · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201358
2 202244
3 202136
4 201430
5 202426
6 201924
7 202021
8 201819
9 201919
10 201718
11 202218
12 202218
13 202017
14 202017
15 201515
16 201614
17 201814
18 201613
19 202013
20 202012

About Bence Ágg

Bence Ágg is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Pulmonary and Respiratory Medicine and Cancer Research, having authored 49 papers that have together received 558 indexed citations. Recurring topics across this work include Connective tissue disorders research (14 papers), MicroRNA in disease regulation (11 papers), Aortic Disease and Treatment Approaches (11 papers), Cardiac Valve Diseases and Treatments (8 papers), Cardiac Ischemia and Reperfusion (6 papers), Aortic aneurysm repair treatments (5 papers), RNA Research and Splicing (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (173 citations), Cancer Research (104 citations), Genetics (168 citations), Pulmonary and Respiratory Medicine (155 citations) and Pathology and Forensic Medicine (72 citations). Bence Ágg has collaborated with scholars based in Hungary, Germany and Austria. Frequent 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. Their work appears in journals such as International Journal of Molecular Sciences, British Journal of Pharmacology, Orphanet Journal of Rare Diseases, Scientific Reports and Drug Safety.

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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