Jennifer Marlowe

1.7k citations
17 papers · 1.2k · h-index 13

Impact in

Papers in

Jennifer Marlowe

16 papers receiving 1.2k citations

Peers

Jennifer Marlowe
Comparison fields: 5 of 102
  • Health, Toxicology and Mutagenesis 477
  • Cancer Research 326
  • Biological Psychiatry 36
  • Pharmacology 87
  • Molecular Biology 486
Replace Brett D. Hollingshead with:
Brett D. Hollingshead United States
Céline Tomkiewicz France
Cornelia Dietrich Germany
Danica E. DeGroot United States
Ellen C. Henry United States
Mark Wormke United States
John J. LaPres United States
Togo Ikuta Japan
Lydie Sparfel France
Rance Nault United States
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Citations per field
00.5×1.5×
Brett D. Hollingshead · 1×
Citations per year

Countries citing papers authored by Jennifer Marlowe

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Marlowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008340
2 2005251
3 2004135
4 2008104
5 200980
6 201163
7 200257
8 200940
9 200831
10 200627
11 201624
12 201721
13 200913
14 20245
15 20095
16 20162
17 20250

About Jennifer Marlowe

Jennifer Marlowe is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research, Oncology and Pollution, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), Epigenetics and DNA Methylation (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Microbial bioremediation and biosurfactants (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (477 citations), Cancer Research (326 citations), Biological Psychiatry (36 citations), Pharmacology (87 citations) and Molecular Biology (486 citations). Jennifer Marlowe has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Alvaro Puga, Erik S. Knudsen, Sandy Schwemberger, Yunxia Fan, Ying Xia, Li Peng, Xiaoqing Chang, J. Kevin Kerzee, Saikumar Karyala and Jonathan G. Moggs. Their work appears in journals such as Molecular Therapy, Proceedings of the Fourth International Symposium on Polarization Phenomena in Nuclear Reactions, Scientific Reports, Journal of Cellular Biochemistry and Toxicology.

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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