Johnathan C. Maher

1.1k citations
18 papers · 892 · h-index 10

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Metabolism, Diabetes, and Cancer
    • ATP Synthase and ATPases Research
    • Mitochondrial Function and Pathology

Papers in

Johnathan C. Maher

18 papers receiving 882 citations

Peers

Johnathan C. Maher
Comparison fields: 5 of 80
  • Cancer Research 445
  • Molecular Biology 552
  • Oncology 190
  • Cell Biology 95
  • Immunology 120
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Citations per year

Countries citing papers authored by Johnathan C. Maher

Since Specialization
Citations

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

Fields of papers citing papers by Johnathan C. Maher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnathan C. Maher. 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 Johnathan C. Maher. The network helps show where Johnathan C. Maher may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2007202
2 2004175
3 2007131
4 200792
5 200668
6 201660
7 200959
8 200541
9 200830
10 201213
11 20145
12 20155
13 20185
14 20172
15
Inhibition of mTOR activity potentiates 2-DG-induced cell death in hypoxic cells via down-regulation of HIF-1α
20071
16
2-Deoxy-D-glucose kills select tumor cell types under normoxia: reversal by mannose indicates interference with glycosylation
20051
17
Treatment of tumor cells with the glycolytic inhibitor, 2-deoxy-D-glucose: Effects and mechanisms of resistance
20061
18 20161

About Johnathan C. Maher

Johnathan C. Maher is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 18 papers that have together received 892 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (10 papers), Prostate Cancer Treatment and Research (4 papers), Cancer Research and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related Molecular Pathways (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Cancer Research (445 citations), Molecular Biology (552 citations), Oncology (190 citations), Cell Biology (95 citations) and Immunology (120 citations). Johnathan C. Maher has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Théodore J. Lampidis, Metin Kurtoğlu, Awtar Krishan, Niramol Savaraj, Medhi Wangpaichitr, Jie Shang, Ningguo Gao, Andrew N. Lane, Mark A. Lehrman and Huaping Liu. Their work appears in journals such as Molecular Cancer Therapeutics, Blood, Journal of Clinical Oncology, Cancer Chemotherapy and Pharmacology and Cancer Research.

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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