GK Rivera

2.3k citations
40 papers · 2.0k · h-index 24

Impact in

Papers in

GK Rivera

40 papers receiving 1.9k citations

Peers

GK Rivera
Comparison fields: 5 of 52
  • Hematology 1.2k
  • Public Health, Environmental and Occupational Health 1.5k
  • Genetics 247
  • Pediatrics, Perinatology and Child Health 382
  • Pathology and Forensic Medicine 172
Replace MJ Borowitz with:
MJ Borowitz United States
DK Kalwinsky United States
Lorna M. Secker‐Walker United Kingdom
SB Murphy United States
NA Heerema United States
E. Renate Panzer-Grümayer Austria
SC Raimondi United States
FR Davey United States
W.-D. Ludwig Germany
SE Sallan United States
GK Rivera relative to MJ Borowitz United States MJ Borowitz's profile →
Citations per field
00.5×1.5×1.9×
MJ Borowitz · 1×
Citations per year

Countries citing papers authored by GK Rivera

Since Specialization
Citations

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

Fields of papers citing papers by GK Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995146
2 1990145
3 1991141
4 1987127
5 1988122
6 1986113
7 1991102
8 198997
9 199094
10 200075
11 199173
12 199269
13 198867
14 199261
15 199261
16 199360
17 199359
18 198959
19 199258
20 199656

About GK Rivera

GK Rivera is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Genetics and Cancer Research, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (40 papers), Acute Myeloid Leukemia Research (16 papers), Chronic Myeloid Leukemia Treatments (15 papers), Childhood Cancer Survivors' Quality of Life (11 papers), Genomic variations and chromosomal abnormalities (10 papers), Neutropenia and Cancer Infections (4 papers), Cancer Genomics and Diagnostics (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Hematology (1.2k citations), Public Health, Environmental and Occupational Health (1.5k citations), Genetics (247 citations), Pediatrics, Perinatology and Child Health (382 citations) and Pathology and Forensic Medicine (172 citations). GK Rivera has collaborated with scholars based in United States and Lebanon. Frequent co-authors include FG Behm, WM Crist, CH Pui, C-H Pui, SC Raimondi, MJ Schell, SC Raimondi, SB Murphy, A. Thomas Look and J T Sandlund. Their work appears in journals such as Blood, Leukemia 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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