E Varga

19 papers receiving 487 citations

Peers

E Varga
Comparison fields: 5 of 94
  • Geriatrics and Gerontology 55
  • Biochemistry 40
  • Physiology 26
  • Developmental Neuroscience 19
  • Pathology and Forensic Medicine 78
Replace Kang Liu with:
Kang Liu China
Goowon Yang South Korea
Ayliz Velioğlu‐Öğünç Türkiye
Dalin Jia China
Cristina Campos Carraro Brazil
Jinkun Xi China
Manling Liu China
Erkan Tuncay Türkiye
Márta Sárközy Hungary
Nelson Escobales Puerto Rico
E Varga relative to Kang Liu China Kang Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by E Varga

Since Specialization
Citations

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

Fields of papers citing papers by E Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200799
2 201860
3 200349
4 200149
5 201048
6 199938
7 202133
8 201932
9 201821
10 201919
11 200714
12 201111
13
[Analysis of sympathomimetic effect of histamine on isolated mammal heart].
19546
14 19964
15 20073
16 20183
17
Changes in the acetylcholine-sensitivity and cholinesterase activity of skeletal muscles in the course of ontogenesis.
19572
18
Concentration dependence of the veratrine effect on inducing depolarization and membrane potential oscillation in skeletal muscle.
19761
19 20071
20
Differentiation of myosins extracted from tonic and tetanic muscles on the basis of their antigenic properties.
19621

About E Varga

E Varga is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 495 indexed citations. Recurring topics across this work include Trace Elements in Health (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Iron Metabolism and Disorders (3 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Cardiac Arrest and Resuscitation (2 papers), Adipose Tissue and Metabolism (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Geriatrics and Gerontology (55 citations), Biochemistry (40 citations), Physiology (26 citations), Developmental Neuroscience (19 citations) and Pathology and Forensic Medicine (78 citations). E Varga has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include Árpád Tósaki, Edina Pandur, Katalin Sipos, István Bak, Levente Szendrei, Ramóna Pap, Béla Juhász, Péter Kovács, Rudolf Gesztelyi and István Lekli. Their work appears in journals such as International Journal of Molecular Sciences, Cellular and Molecular Neurobiology, The FASEB Journal, Free Radical Biology and Medicine and Journal of Molecular and Cellular Cardiology.

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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