Sandy Mattox

814 citations
5 papers · 691 · h-index 5

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 4
    • Hematopoietic Stem Cell Transplantation 1
    • Advanced biosensing and bioanalysis techniques 2
    • Amyloidosis: Diagnosis, Treatment, Outcomes 1

Sandy Mattox

5 papers receiving 657 citations

Peers

Sandy Mattox
Comparison fields: 5 of 51
  • Hematology 548
  • Oncology 229
  • Genetics 63
  • Molecular Biology 353
  • Genetics 66
Replace Raid G. Ossi with:
Raid G. Ossi United States
M J Rapp France
JM Hernández Spain
J. Treleaven United Kingdom
MD Amylon United States
Jeffrey Haessler United States
Pauline Huyghe France
A Zander United States
Ron Schaafsma Netherlands
Kunitake HIRASHIMA Japan
Sandy Mattox relative to Raid G. Ossi United States Raid G. Ossi's profile →
Citations per field
00.5×2×3×
Raid G. Ossi · 1×
Citations per year

Countries citing papers authored by Sandy Mattox

Since Specialization
Citations

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

Fields of papers citing papers by Sandy Mattox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Sandy Mattox

Sandy Mattox is a scholar working on Hematology, Molecular Biology, Plant Science, Pediatrics, Perinatology and Child Health and General Health Professions, having authored 5 papers that have together received 691 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Chromosomal and Genetic Variations (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Childhood Cancer Survivors' Quality of Life (1 paper), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Palliative Care and End-of-Life Issues (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Hematology (548 citations), Oncology (229 citations), Genetics (63 citations), Molecular Biology (353 citations) and Genetics (66 citations). Sandy Mattox has collaborated with scholars based in United States. Frequent co-authors include Guido J. K. Tricot, Bart Barlogie, Sundar Jagannath, David H. Vesole, Sydney E. Salmon, Bruce D. Cheson, Dwayne Bracy, Joth L. Jacobson, Sally Naucke and John Crowley. Their work appears in journals such as Blood, British Journal of Haematology and JONA The Journal of Nursing Administration.

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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