Amy J. Warren

19 papers receiving 685 citations

Peers

Amy J. Warren
Comparison fields: 5 of 87
  • Molecular Biology 501
  • Cancer Research 211
  • Health, Toxicology and Mutagenesis 130
  • Oncology 115
  • Environmental Chemistry 58
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Countries citing papers authored by Amy J. Warren

Since Specialization
Citations

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

Fields of papers citing papers by Amy J. Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy J. Warren. 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 Amy J. Warren. The network helps show where Amy J. Warren may publish in the future.

Co-authorship network of co-authors of Amy J. Warren

This figure shows the co-authorship network connecting the top 25 collaborators of Amy J. Warren. A scholar is included among the top collaborators of Amy J. Warren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amy J. Warren. Amy J. Warren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 18
3 17
4 10
5 188
6 7
7 126
8 10
9
Detection of mitomycin C-DNA adducts in human breast cancer cells grown in culture, as xenografted tumors in nude mice, and in biopsies of human breast cancer patient tumors as determined by (32)P-postlabeling.
10
10
Effects of mitomycin C and carboplatin pretreatment on multidrug resistance-associated P-glycoprotein expression and on subsequent suppression of tumor growth by doxorubicin and paclitaxel in human metastatic breast cancer xenografted nude mice.
21
11 16
12
Detection of mitomycin C-DNA adducts in vivo by 32P-postlabeling: time course for formation and removal of adducts and biochemical modulation.
37
13 1
14
Suppression of P-glycoprotein expression and multidrug resistance by DNA cross-linking agents.
42
15 14
16 29
17 2
18
Fee structure for investigational drug studies.
4
19 159

About Amy J. Warren

Amy J. Warren is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Geriatrics and Gerontology, having authored 19 papers that have together received 712 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), DNA and Nucleic Acid Chemistry (7 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Cancer Research (211 citations), Health, Toxicology and Mutagenesis (130 citations) and Molecular Biology (501 citations). Amy J. Warren has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Joshua W. Hamilton, Jeffrey H Miller, Eric Eisenstadt, David Atkins, Angeline S. Andrew, Kimberley A. O’Hara, Linda R. Klei, Aaron Barchowsky, Nicole V. Soucy and Xin Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Biochemistry.

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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