L. Varga

982 citations
45 papers · 795 · h-index 16

Impact in

Papers in

    • Muscle Physiology and Disorders 5
    • Animal Genetics and Reproduction 4
    • Genetic and phenotypic traits in livestock 3
    • Genetics and Physical Performance 3

L. Varga

43 papers receiving 774 citations

Peers

L. Varga
Comparison fields: 5 of 105
  • Chemical Health and Safety 7
  • Genetics 167
  • Oncology 157
  • Cell Biology 94
  • Molecular Biology 395
Replace Gareth J. Morgan with:
Gareth J. Morgan United States
Michael Herrler Germany
Naomichi Okamura Japan
Mohammad Salim United States
Alexander Rapp Germany
Margaret Wade United States
Kimberly L.K. Duncan United States
Sandra L. Harper United States
Marie A. Iannone United States
Pascal Roussel France
L. Varga relative to Gareth J. Morgan United States Gareth J. Morgan's profile →
Citations per field
00.5×1.5×
Gareth J. Morgan · 1×
Citations per year

Countries citing papers authored by L. Varga

Since Specialization
Citations

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

Fields of papers citing papers by L. Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998125
2 200893
3 200781
4 200758
5 200541
6 198341
7 199738
8 200335
9 200429
10 197629
11 196626
12
A two-center double-blind study of nomifensine, imipramine, and placebo in depressed geriatric outpatients.
198423
13 199321
14
Sister chromatid exchange frequency in human lymphocytes exposed to ionizing radiation in vivo and in vitro.
198418
15 199916
16 198116
17 198113
18 202110
19 20168
20 19947

About L. Varga

L. Varga is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Cell Biology and Oncology, having authored 45 papers that have together received 795 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (5 papers), Muscle Physiology and Disorders (5 papers), Animal Genetics and Reproduction (4 papers), Genetic and phenotypic traits in livestock (3 papers), Viral-associated cancers and disorders (3 papers), melanin and skin pigmentation (3 papers), Genetics and Physical Performance (3 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Chemical Health and Safety (7 citations), Genetics (167 citations), Oncology (157 citations), Cell Biology (94 citations) and Molecular Biology (395 citations). L. Varga has collaborated with scholars based in Hungary, United States and Israel. Frequent co-authors include Géza Müller, Gyula Szabó, M. Soller, Sathish Sadagopan, Bala Chandran, Neelam Sharma-Walia, Mohanan Valiya Veettil, Hari Raghu, S. Gundy and László Patthy. Their work appears in journals such as Genetics, Journal of Virology, Genes, Pharmacology and Scientific Reports.

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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