Eugene Maxwell

674 citations
6 papers · 349 · h-index 5

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 1
    • Biochemical and Molecular Research 1
    • Cancer-related Molecular Pathways 3
    • Cancer Treatment and Pharmacology 1

Eugene Maxwell

6 papers receiving 336 citations

Peers

Eugene Maxwell
Comparison fields: 5 of 49
  • Oncology 179
  • Biotechnology 46
  • Molecular Biology 269
  • Cancer Research 51
  • Endocrinology, Diabetes and Metabolism 56
Replace Gillian N. Kulikowski with:
Gillian N. Kulikowski United States
Michael W. Potter United States
Jessica Ekedahl Sweden
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Hai Hu China
Megan B. Salt United States
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Citations per field
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Gillian N. Kulikowski · 1×
Citations per year

Countries citing papers authored by Eugene Maxwell

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Maxwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 200192
2 201083
3
Neutralizing anti-insulin-like growth factor receptor 1 antibodies inhibit receptor function and induce receptor degradation in tumor cells.
200273
4 200453
5
Adenoviral-mediated expression of a kinase-dead mutant of Akt induces apoptosis selectively in tumor cells and suppresses tumor growth in mice.
200347
6
Antitumor effect of keto-diepoxides isolated from the fungus Nattrassia mangiferae.
19951

About Eugene Maxwell

Eugene Maxwell is a scholar working on Molecular Biology, Oncology, Cancer Research, Organic Chemistry and Pharmacology, having authored 6 papers that have together received 349 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Synthetic Organic Chemistry Methods (1 paper), Cancer Treatment and Pharmacology (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Cancer Research and Treatments (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Oncology (179 citations), Biotechnology (46 citations), Molecular Biology (269 citations), Cancer Research (51 citations) and Endocrinology, Diabetes and Metabolism (56 citations). Eugene Maxwell has collaborated with scholars based in United Kingdom. Frequent co-authors include W. Robert Bishop, Mark J. Demma, Bimalendu Dasmahapatra, Ronald J. Doll, Jonathan A. Pachter, Yan Wang, Hena R. Ashar, Kimberly Gray, Paul T. Kirschmeier and Donna Carr. Their work appears in journals such as Journal of Biological Chemistry, Experimental Cell Research 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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