Steve A. Maxwell

1.1k citations
23 papers · 912 · h-index 15

Impact in

Papers in

    • 14-3-3 protein interactions 3
    • Cancer-related Molecular Pathways 5
    • HER2/EGFR in Cancer Research 2

Steve A. Maxwell

23 papers receiving 899 citations

Peers

Steve A. Maxwell
Comparison fields: 5 of 84
  • Cancer Research 225
  • Oncology 255
  • Molecular Biology 606
  • Biotechnology 71
  • Cell Biology 123
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Citations per field
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Citations per year

Countries citing papers authored by Steve A. Maxwell

Since Specialization
Citations

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

Fields of papers citing papers by Steve A. Maxwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000157
2 2005139
3 200391
4 201266
5 200953
6
Analysis of P210bcr-abl tyrosine protein kinase activity in various subtypes of Philadelphia chromosome-positive cells from chronic myelogenous leukemia patients.
198746
7 201045
8 201343
9 201142
10
Simian virus 40 large T antigen and p53 are microtubule-associated proteins in transformed cells.
199136
11 198633
12 201332
13 199431
14 200823
15 199615
16 199714
17 198913
18 199511
19
Binding of cellular proteins to a conformational domain of tumor suppressor protein p53.
199311
20 19897

About Steve A. Maxwell

Steve A. Maxwell is a scholar working on Molecular Biology, Oncology, Biotechnology, Cancer Research and Cell Biology, having authored 23 papers that have together received 912 indexed citations. Recurring topics across this work include Cancer Research and Treatments (6 papers), Cancer-related Molecular Pathways (5 papers), Bacteriophages and microbial interactions (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), 14-3-3 protein interactions (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cell Adhesion Molecules Research (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (225 citations), Oncology (255 citations), Molecular Biology (606 citations), Biotechnology (71 citations) and Cell Biology (123 citations). Steve A. Maxwell has collaborated with scholars based in United States and Spain. Frequent co-authors include Armando Rivera, George E. Davis, Kayla J. Bayless, Shih‐Chi Su, Jack A. Roth, Hojin Kang, Jui M. Dave, Janet S. Butel, Tapas Mukhopadhyay and Haian Fu. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Electrophoresis, Gene and Molecular Carcinogenesis.

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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