Oscar Vadas

2.9k citations
44 papers · 1.6k · h-index 18

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Ubiquitin and proteasome pathways

Papers in

    • Protein Kinase Regulation and GTPase Signaling 14
    • PI3K/AKT/mTOR signaling in cancer 12
    • RNA and protein synthesis mechanisms 4
    • Receptor Mechanisms and Signaling 3
    • Toxoplasma gondii Research Studies 9

Oscar Vadas

40 papers receiving 1.5k citations

Peers

Oscar Vadas
Comparison fields: 5 of 98
  • Genetics 263
  • Molecular Biology 1.1k
  • Cell Biology 255
  • Parasitology 62
  • Immunology 184
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Oscar Vadas relative to Christine Yu United States Christine Yu's profile →
Citations per field
00.5×2.9×
Christine Yu · 1×
Citations per year

Countries citing papers authored by Oscar Vadas

Since Specialization
Citations

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

Fields of papers citing papers by Oscar Vadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011231
2 2012217
3 2011150
4 2012123
5 2013108
6 201785
7 201182
8 202062
9 201547
10 201645
11 201840
12 202137
13 202232
14 202327
15 202126
16 201726
17 202223
18 202220
19 202016
20 201516

About Oscar Vadas

Oscar Vadas is a scholar working on Molecular Biology, Parasitology, Epidemiology, Genetics and Cell Biology, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (14 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Toxoplasma gondii Research Studies (9 papers), RNA and protein synthesis mechanisms (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cellular transport and secretion (3 papers), Receptor Mechanisms and Signaling (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Genetics (263 citations), Molecular Biology (1.1k citations), Cell Biology (255 citations), Parasitology (62 citations) and Immunology (184 citations). Oscar Vadas has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include John E. Burke, Roger Williams, Olga Perišić, Xuxiao Zhang, Alex Berndt, Glenn R. Masson, Meredith L. Jenkins, Gillian L. Dornan, Len Stephens and Karen E. Anderson. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Science Signaling, Molecular Cell and eLife.

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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