Mark L Parrish
Impact in
- Cancer Research top 0.5%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 1%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
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- Fungal and yeast genetics research 4
- Microbial Metabolic Engineering and Bioproduction 2
- RNA and protein synthesis mechanisms 1
- Molecular Biology Techniques and Applications 1
- Plant biochemistry and biosynthesis 1
- Gene expression and cancer classification 1
-
- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Matthew J. Marton (2 shared papers)Hongyue Dai (2 shared papers)Dorien W. Voskuil (1 shared paper)Anke Witteveen (1 shared paper)Leonie Delahaye (1 shared paper)Harry Bartelink (1 shared paper)Stephen Friend (1 shared paper)Yudong D. He (1 shared paper)
- Journals
- Yeast (2 papers)Genome biology (2 papers)Eukaryotic Cell (1 paper)Neuron (1 paper)Genetics (1 paper)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Mark L Parrish
15 papers receiving 5.2k citations
Mark L Parrish's Hit Papers
Peers
Comparison fields: 5 of 141
- Cancer Research 2.1k
- Oncology 1.5k
- Molecular Biology 2.7k
- Statistics and Probability 193
- Genetics 563
Countries citing papers authored by Mark L Parrish
This map shows the geographic impact of Mark L Parrish'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 Mark L Parrish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark L Parrish more than expected).
Fields of papers citing papers by Mark L Parrish
This network shows the impact of papers produced by Mark L Parrish. 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 Mark L Parrish. The network helps show where Mark L Parrish may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark L Parrish, 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 | A Gene-Expression Signature as a Predictor of Survival in Breast Cancer Hit paper breakdown → | 2002 | 5002 |
| 2 | 2009 | 127 | |
| 3 | 2003 | 73 | |
| 4 | 2005 | 71 | |
| 5 | 1995 | 54 | |
| 6 | 2020 | 30 | |
| 7 | 2003 | 24 | |
| 8 | 2002 | 22 | |
| 9 | 2006 | 22 | |
| 10 | 2002 | 14 | |
| 11 | 2003 | 13 | |
| 12 | 2010 | 8 | |
| 13 | 2015 | 2 | |
| 14 | Metastatic adenocarcinoma of the breast presenting as pulpal/periodontal disease. | 2007 | 2 |
| 15 | Additional files for “Multi-tissue coexpression networks reveal unexpected subnetworks associated with disease” | 2009 | 1 |
About Mark L Parrish
Mark L Parrish is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Pharmacology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 5.5k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (4 papers), Fungal and yeast genetics research (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), RNA and protein synthesis mechanisms (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Molecular Biology Techniques and Applications (1 paper), Plant biochemistry and biosynthesis (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (2.1k citations), Oncology (1.5k citations), Molecular Biology (2.7k citations), Statistics and Probability (193 citations) and Genetics (563 citations). Mark L Parrish has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Matthew J. Marton, Hongyue Dai, Dorien W. Voskuil, Anke Witteveen, Leonie Delahaye, Harry Bartelink, Stephen Friend, Yudong D. He, Chris Roberts and Douwe E. Atsma. Their work appears in journals such as Yeast, Genome biology, Eukaryotic Cell, Neuron and Genetics.
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.