G Vairo

3.9k citations
49 papers · 2.9k · h-index 29

Impact in

  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immune Response and Inflammation

Papers in

    • Immune cells in cancer 10
    • Immune Cell Function and Interaction 10
    • Immune Response and Inflammation 9
    • Immunotherapy and Immune Responses 4

G Vairo

48 papers receiving 2.8k citations

Peers

G Vairo
Comparison fields: 5 of 100
  • Oncology 1.3k
  • Immunology 894
  • Hematology 455
  • Cancer Research 319
  • Molecular Biology 1.5k
Replace Ross A. Dickins with:
Ross A. Dickins Australia
Arito Yamane Japan
Carlos Bais United States
Norihiko Kawamata Japan
Ann Johnsson Sweden
Maria Ciofani United States
Josée Hébert Canada
Mario N. Lioubin United States
Dalia Resnitzky Israel
Jared K. Burks United States
G Vairo relative to Ross A. Dickins Australia Ross A. Dickins's profile →
Citations per field
00.5×1.5×
Ross A. Dickins · 1×
Citations per year

Countries citing papers authored by G Vairo

Since Specialization
Citations

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

Fields of papers citing papers by G Vairo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009395
2 1994306
3 1995265
4
Bcl-2 has a cell cycle inhibitory function separable from its enhancement of cell survival.
1996149
5 1998147
6 2000124
7 2014108
8 201381
9 198878
10 198578
11 199073
12 198570
13 198867
14 199265
15 199757
16 200055
17 199254
18 199152
19 201551
20
Differential regulation of cell cycle machinery by various antiproliferative agents is linked to macrophage arrest at distinct G1 checkpoints.
199643

About G Vairo

G Vairo is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Cancer Research, having authored 49 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune cells in cancer (10 papers), Immune Cell Function and Interaction (10 papers), Immune Response and Inflammation (9 papers), Cancer-related Molecular Pathways (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), CAR-T cell therapy research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Oncology (1.3k citations), Immunology (894 citations), Hematology (455 citations), Cancer Research (319 citations) and Molecular Biology (1.5k citations). G Vairo has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include John A. Hamilton, David M. Livingston, Doron Ginsberg, Jerry M. Adams, Samantha J. Busfield, James A. DeCaprio, Angel F. López, Hayley S. Ramshaw, Richard B. Lock and Karen L. Wydner. Their work appears in journals such as Blood, Journal of Biological Chemistry, Journal of Cellular Physiology, Biochemical and Biophysical Research Communications and Genes & Development.

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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