Péter Galajda

763 citations
81 papers · 583 · h-index 13

Impact in

Papers in

Péter Galajda

76 papers receiving 564 citations

Peers

Péter Galajda
Comparison fields: 5 of 64
  • Internal Medicine 89
  • Transplantation 29
  • Cardiology and Cardiovascular Medicine 231
  • Hematology 52
  • Endocrinology, Diabetes and Metabolism 63
Replace Daijo Inaguma with:
Daijo Inaguma Japan
Hein A. Koomans Netherlands
Sean L. Zheng United Kingdom
P Bareiss France
Lena Norlund Sweden
Tadeusz Wróblewski Poland
Sandra Jamieson United Kingdom
Iolanda Enea Italy
Saravanan Balamuthusamy United States
Taner Ulus Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Péter Galajda

Since Specialization
Citations

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

Fields of papers citing papers by Péter Galajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200137
2 200935
3 200835
4 201730
5 201427
6
Leptin, adiponectin and ghrelin, new potential mediators of ischemic stroke.
201127
7 199725
8
HER-2 [Ile655Val] polymorphism in association with breast cancer risk: a population-based case-control study in Slovakia.
200621
9 201916
10 202115
11 201913
12 201512
13 201812
14 200711
15 201611
16 201811
17 201710
18 201810
19 201810
20 20149

About Péter Galajda

Péter Galajda is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Internal Medicine, Endocrinology, Diabetes and Metabolism and Hematology, having authored 81 papers that have together received 583 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (16 papers), Atrial Fibrillation Management and Outcomes (15 papers), Venous Thromboembolism Diagnosis and Management (10 papers), Renal Transplantation Outcomes and Treatments (7 papers), Protease and Inhibitor Mechanisms (7 papers), Cardiac Arrhythmias and Treatments (6 papers), Diabetes Treatment and Management (5 papers) and Acute Myocardial Infarction Research (5 papers). The work is most often cited by research in Internal Medicine (89 citations), Transplantation (29 citations), Cardiology and Cardiovascular Medicine (231 citations), Hematology (52 citations) and Endocrinology, Diabetes and Metabolism (63 citations). Péter Galajda has collaborated with scholars based in Slovakia, Czechia and United Kingdom. Frequent co-authors include Marian Mokáň, Peter Kubisz, Ján Staško, Matej Samoš, Tomáš Bolek, Lucia Stančiaková, Ingrid Škorňová, František Kovář, Jela Ivanková and Emil Martinka. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Journal of Thrombosis and Thrombolysis, Diabetes Research and Clinical Practice, Diabetes & Metabolic Syndrome Clinical Research & Reviews and American Journal of Therapeutics.

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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