Gábor Gäbel

3.3k citations
39 papers · 2.2k indexed · 1 hit paper · h-index 16

Gábor Gäbel

35 papers receiving 2.2k citations

Hit Papers

Circular non-coding RNA ANRIL modulates ribosomal RNA mat...8572016202620192022250500750

Peers

Gábor Gäbel
Comparison fields: 5 of 103
  • Cancer Research 1.3k
  • Molecular Biology 1.5k
  • Pulmonary and Respiratory Medicine 416
  • Immunology 262
  • Cardiology and Cardiovascular Medicine 229
Replace Revati Shreeniwas with:
Revati Shreeniwas United States
Hendrik Bergert Germany
Valérie Metzinger‐Le Meuth France
Shanzhong Yang United States
Lijun Yuan China
F W Luscinskas United States
Yoshiaki Mizuguchi Japan
Hiroaki Haga Japan
Francesco P. Marchese Spain
Marc Clément France
Gábor Gäbel relative to Revati Shreeniwas United States Revati Shreeniwas's profile →
Citations per field
00.5×2.6×
Revati Shreeniwas · 1×
Citations per year

Countries citing papers authored by Gábor Gäbel

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Gäbel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20220
3 20223
4 20199
5 201815
6 201732
7 201624
8 201635
9
Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humansbreakdown →
2016857
10 2013307
11 20136
12 201321
13 201267
14 2010107
15 200510
16 20031
17 200327
18 20022
19 20025
20 20016

About Gábor Gäbel

Gábor Gäbel is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine, Transplantation and Cancer Research, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (13 papers), Aortic Disease and Treatment Approaches (7 papers), Organ Transplantation Techniques and Outcomes (6 papers), Infectious Aortic and Vascular Conditions (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Vascular Procedures and Complications (4 papers), RNA modifications and cancer (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (1.5k citations), Pulmonary and Respiratory Medicine (416 citations), Immunology (262 citations) and Cardiology and Cardiovascular Medicine (229 citations). Gábor Gäbel has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Lesca M. Holdt, Daniel Teupser, Joachim Thiery, Markus Scholz, Frank Beutner, Hendrik Bergert, Kristina Sass, Wolfgang Wilfert, Bernd H. Northoff and Knut Krohn. Their work appears in journals such as Atherosclerosis, Annals of Vascular Surgery, Journal of the American Heart Association, Journal of Vascular Surgery and Cytokine.

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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