Ákos Kalina

1.1k citations
14 papers · 392 indexed · h-index 8
Topics
Lipoproteins and Cardiovascular Health (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Cancer, Lipids, and Metabolism (4 papers)

In The Last Decade

Ákos Kalina

13 papers receiving 383 citations

Peers

Ákos Kalina
Comparison fields: 5 of 58
  • Immunology 178
  • Oncology 155
  • Surgery 90
  • Epidemiology 64
  • Endocrinology, Diabetes and Metabolism 58
Replace Elisabeth Ludwig with:
Elisabeth Ludwig Germany
Emilie Montenont United States
Xiaoshun He China
Xiaobei Feng China
H. D. Shin South Korea
Jürgen Strehlau United States
SJ Goldman United States
Katherina Psarra Greece
Eleonora Petito Italy
J.P. Soulillou France
Ákos Kalina relative to Elisabeth Ludwig Germany Elisabeth Ludwig's profile →
Citations per field
00.5×5.3×
Elisabeth Ludwig · 1×
Citations per year

Countries citing papers authored by Ákos Kalina

Since Specialization
Citations

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

Fields of papers citing papers by Ákos Kalina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ákos Kalina

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 29
2 7
3 7
4
[New strategy in the treatment of hypertension: inhibition of renin-angiotensin-aldosterone system with renin inhibitor].
1
5
[Public health control of hyperhomocysteinemia and its consequences].
5
6 11
7 1
8 15
9 268
10 17
11 19
12
[Incidence of familial defective apolipoprotein B-100 in cases of patients diagnosed with familial hypercholesterolemia].
2
13 10
14
[Cholesterol levels in young men and women planning conception].
0

About Ákos Kalina

Ákos Kalina is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 14 papers that have together received 392 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Immunology (178 citations), Virology (28 citations) and Oncology (155 citations). Ákos Kalina has collaborated with scholars based in Hungary, United States and Czechia. Frequent co-authors include Albert Császár, Zoltán Prohászka, Csaba Szalai, Laura Horváth, J. Duba, Bálint Nagy, T Szabó, István Reiber, Neil Hounslow and T. V. Supryadkina. Their work appears in journals such as Diabetes Care, The American Journal of Cardiology and Clinica Chimica Acta.

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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