Steve L. Abrams

1.0k citations
8 papers · 625 · h-index 5

Impact in

    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • PI3K/AKT/mTOR signaling in cancer
    • Epigenetics and DNA Methylation
    • Hedgehog Signaling Pathway Studies
    • MicroRNA in disease regulation

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Hedgehog Signaling Pathway Studies 2
    • Biochemical and Molecular Research 1
    • Quinazolinone synthesis and applications 2

Steve L. Abrams

8 papers receiving 621 citations

Peers

Steve L. Abrams
Comparison fields: 5 of 76
  • Molecular Biology 444
  • Cancer Research 82
  • Oncology 135
  • Geriatrics and Gerontology 15
  • Molecular Medicine 19
Replace Melissa L. Sokolosky with:
Melissa L. Sokolosky United States
Jiehui Di China
Tetsuhiko Yanazume Japan
Okkyung Rho United States
Chenzhong Xu China
Boris Shorning United Kingdom
Chang‐Hun Rhee South Korea
Monica Cubillos‐Rojas Spain
Jiajun Yap Singapore
Sofia Bellou Greece
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Citations per field
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Citations per year

Countries citing papers authored by Steve L. Abrams

Since Specialization
Citations

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

Fields of papers citing papers by Steve L. Abrams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve L. Abrams. 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 Steve L. Abrams. The network helps show where Steve L. Abrams may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2014398
2 2016131
3 201744
4 200541
5 20177
6 20072
7 20071
8 20071

About Steve L. Abrams

Steve L. Abrams is a scholar working on Molecular Biology, Organic Chemistry, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 625 indexed citations. Recurring topics across this work include Quinazolinone synthesis and applications (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), MicroRNA in disease regulation (1 paper), Curcumin's Biomedical Applications (1 paper), Biochemical and Molecular Research (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Molecular Biology (444 citations), Cancer Research (82 citations), Oncology (135 citations), Geriatrics and Gerontology (15 citations) and Molecular Medicine (19 citations). Steve L. Abrams has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include James A. McCubrey, Linda S. Steelman, Lucio Cocco, Alberto M. Martelli, Massimo Libra, Agnieszka Gizak, Melchiorre Cervello, Giuseppe Montalto, Dariusz Rakus and Ferdinando Nicoletti. Their work appears in journals such as Blood, Oncotarget, Advances in Biological Regulation, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Expert Opinion on Therapeutic Targets.

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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