Marc J. Prindle
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
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- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- Renal and related cancers
- Molecular Biology Techniques and Applications
Papers in
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- DNA Repair Mechanisms 5
- Epigenetics and DNA Methylation 2
- Advanced biosensing and bioanalysis techniques 1
- Single-cell and spatial transcriptomics 1
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- Cancer Genomics and Diagnostics 7
- Co-authors
- Lawrence A. Loeb (8 shared papers)Edward Fox (5 shared papers)Gregory R. Dressler (3 shared papers)Michael W. Schmitt (2 shared papers)Jiang-Cheng Shen (1 shared paper)Eun Hyun Ahn (1 shared paper)Jesse J. Salk (1 shared paper)Rosa‐Ana Risques (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Current Drug Targets (2 papers)Nature Methods (1 paper)Environmental and Molecular Mutagenesis (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Marc J. Prindle
11 papers receiving 833 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 365
- Molecular Biology 589
- Pathology and Forensic Medicine 109
- Genetics 165
- Oncology 156
Countries citing papers authored by Marc J. Prindle
This map shows the geographic impact of Marc J. Prindle'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 Marc J. Prindle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc J. Prindle more than expected).
Fields of papers citing papers by Marc J. Prindle
This network shows the impact of papers produced by Marc J. Prindle. 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 Marc J. Prindle. The network helps show where Marc J. Prindle may publish in the future.
Co-authors
The 21 scholars most cited alongside Marc J. Prindle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 314 | |
| 2 | 2015 | 110 | |
| 3 | 2012 | 103 | |
| 4 | 2002 | 72 | |
| 5 | 2003 | 69 | |
| 6 | 2012 | 46 | |
| 7 | 2013 | 46 | |
| 8 | 2009 | 37 | |
| 9 | 2010 | 31 | |
| 10 | 2013 | 11 | |
| 11 | 2010 | 4 |
About Marc J. Prindle
Marc J. Prindle is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Cell Biology, having authored 11 papers that have together received 843 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), DNA Repair Mechanisms (5 papers), Genetic factors in colorectal cancer (3 papers), Cancer-related Molecular Pathways (3 papers), Microtubule and mitosis dynamics (3 papers), Epigenetics and DNA Methylation (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (365 citations), Molecular Biology (589 citations), Pathology and Forensic Medicine (109 citations), Genetics (165 citations) and Oncology (156 citations). Marc J. Prindle has collaborated with scholars based in United States. Frequent co-authors include Lawrence A. Loeb, Edward Fox, Gregory R. Dressler, Michael W. Schmitt, Jiang-Cheng Shen, Eun Hyun Ahn, Jesse J. Salk, Rosa‐Ana Risques, Brendan F. Kohrn and Scott R. Kennedy. Their work appears in journals such as Journal of Biological Chemistry, Current Drug Targets, Nature Methods, Environmental and Molecular Mutagenesis and Annals of the New York Academy of Sciences.
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.