G Vairo

3.9k citations
49 papers · 2.8k indexed · h-index 29
  • Oncology top 2%
    • Cancer-related Molecular Pathways 6
    • CAR-T cell therapy research 5
  • Immunology top 2%
    • Immune Cell Function and Interaction 10
    • Immune cells in cancer 10
    • Immune Response and Inflammation 9
  • Hematology top 2%
    • Chronic Myeloid Leukemia Treatments 5
    • Chronic Lymphocytic Leukemia Research 5
    • Erythrocyte Function and Pathophysiology 4

G Vairo

48 papers receiving 2.8k citations

Peers

G Vairo
Comparison fields: 5 of 104
  • Oncology 1.3k
  • Immunology 926
  • Hematology 476
  • Molecular Biology 1.5k
  • Cancer Research 335
Replace Mary L. Bath with:
Mary L. Bath Australia
Brent L. Kreider United States
Kazushi Inoue United States
RA Ashmun United States
Gerrard Teoh United States
Maya Dajee United States
Kristin J. Hope Canada
Olle Sangfelt Sweden
Yann Lécluse France
Norihiko Kawamata Japan
G Vairo relative to Mary L. Bath Australia Mary L. Bath's profile →
Citations per field
00.5×1.5×
Mary L. Bath · 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-authorship network

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
#Work
1 201736
2 201626
3 201551
4 2014106
5 20140
6 2009390
7 200055
8 199912
9 199930
10 199819
11 199757
12
Evidence against a requirement for Na+/H+ exchange activity for proliferation or differentiation of HL60 leukemic cells.
19936
13 199254
14 19923
15 199233
16 19912
17 199131
18 198878
19 198867
20 198578

About G Vairo

G Vairo is a scholar working on Immunology, Hematology, Oncology, Genetics and Cancer Research, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Immune cells in cancer (10 papers), Immune Response and Inflammation (9 papers), Cancer-related Molecular Pathways (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), CAR-T cell therapy research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Oncology (1.3k citations), Immunology (926 citations), Hematology (476 citations), Molecular Biology (1.5k citations) and Cancer Research (335 citations). G Vairo has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include John A. Hamilton, Doron Ginsberg, David M. Livingston, 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, Molecular and Cellular Biology and Leukemia.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026