John Galbincea

867 citations
13 papers · 636 · h-index 10

Impact in

  • Oncology top 10%
    • Cutaneous Melanoma Detection and Management
    • Colorectal Cancer Treatments and Studies
    • CAR-T cell therapy research
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Cutaneous Melanoma Detection and Management 2
    • Cytokine Signaling Pathways and Interactions 1
    • PI3K/AKT/mTOR signaling in cancer 2
    • Kruppel-like factors research 1

John Galbincea

13 papers receiving 628 citations

Peers

John Galbincea
Comparison fields: 5 of 53
  • Oncology 361
  • Hematology 77
  • Cancer Research 94
  • Genetics 63
  • Dermatology 47
Replace Maria DeSantis with:
Maria DeSantis Austria
Diana O. Treaba United States
Hiroshi Nakagomi Japan
L Sánchez‐Verde Spain
Michael Andreeff United States
Stanley Frankel United States
Shinichi Makita Japan
R. Handgretinger Germany
Isabelle Vanden Bempt Belgium
Salim Yazji United States
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Citations per field
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Citations per year

Countries citing papers authored by John Galbincea

Since Specialization
Citations

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

Fields of papers citing papers by John Galbincea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012173
2 2009152
3 2009100
4 201656
5 201336
6 201431
7 201824
8 201417
9 201014
10 201013
11 20159
12 20118
13
A model for rewarding professional growth in the diagnostic molecular oncology laboratory.
20113

About John Galbincea

John Galbincea is a scholar working on Oncology, Molecular Biology, Hematology, Genetics and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 636 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cancer Genomics and Diagnostics (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Kruppel-like factors research (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Oncology (361 citations), Hematology (77 citations), Cancer Research (94 citations), Genetics (63 citations) and Dermatology (47 citations). John Galbincea has collaborated with scholars based in United States, Saudi Arabia and Canada. Frequent co-authors include Rajyalakshmi Luthra, L. Jeffrey Medeiros, Bedia A. Barkoh, Alexander J. Lazar, Michael A. Davies, Keyur P. Patel, Shalini Verma, Zhuang Zuo, Wesley O. Greaves and Kenneth Aldape. Their work appears in journals such as Modern Pathology, Journal of Molecular Diagnostics, Journal of Clinical Oncology, The American Journal of Surgical Pathology and Cancer Science.

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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