G K Rivera

781 citations
13 papers · 531 · h-index 10

Impact in

Papers in

G K Rivera

13 papers receiving 504 citations

Peers

G K Rivera
Comparison fields: 5 of 38
  • Hematology 301
  • Public Health, Environmental and Occupational Health 391
  • Pediatrics, Perinatology and Child Health 109
  • Genetics 59
  • Oncology 72
Replace A Chauvenet with:
A Chauvenet United States
Ching-Hon Pui United States
P R Taylor United Kingdom
Adynel Wood United States
Lucília Norton Portugal
Matthew A. Kutny United States
Henrik Schr�der Denmark
Edward Kwan Australia
A.K. Burnett United Kingdom
Katalin Csordás Hungary
G K Rivera relative to A Chauvenet United States A Chauvenet's profile →
Citations per field
00.5×1.5×
A Chauvenet · 1×
Citations per year

Countries citing papers authored by G K Rivera

Since Specialization
Citations

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

Fields of papers citing papers by G K Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1990138
2
Epipodophyllotoxin-related acute myeloid leukemia: a study of 35 cases.
1995106
3 199469
4 199859
5
Molecular evidence for minimal residual bone marrow disease in children with 'isolated' extra-medullary relapse of T-cell acute lymphoblastic leukemia.
199436
6 199134
7
Pharmacokinetics of continuous infusion of methotrexate and teniposide in pediatric cancer patients.
199022
8 199121
9 199214
10 199212
11 19908
12 19946
13 19876

About G K Rivera

G K Rivera is a scholar working on Public Health, Environmental and Occupational Health, Hematology, Pediatrics, Perinatology and Child Health, Genetics and Oncology, having authored 13 papers that have together received 531 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (11 papers), Acute Myeloid Leukemia Research (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Treatment and Pharmacology (2 papers), Neonatal Health and Biochemistry (1 paper) and Biological Activity of Diterpenoids and Biflavonoids (1 paper). The work is most often cited by research in Hematology (301 citations), Public Health, Environmental and Occupational Health (391 citations), Pediatrics, Perinatology and Child Health (109 citations), Genetics (59 citations) and Oncology (72 citations). G K Rivera has collaborated with scholars based in United States and Canada. Frequent co-authors include Ching‐Hon Pui, Susana C. Raimondi, F G Behm, W M Crist, Raul C. Ribeiro, M L Hancock, J T Sandlund, Hazem H. Mahmoud, A. Thomas Look and D. L. Williams. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, Journal of Pharmacology and Experimental Therapeutics and PubMed.

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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