Mark A. Eckert
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 4
- Cancer-related molecular mechanisms research 4
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment 7
- Genetics top 5%
- Mesenchymal stem cell research 4
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques 7
- RNA modifications and cancer 4
- Developmental Neuroscience top 5%
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- Cancer Cells and Metastasis 6
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- Cellular Mechanics and Interactions 3
- Co-authors
- Ernst LengyelWeian ZhaoJing YangSamantha M. TiendaJihoon KimThinzar M. LwinAgnieszka ChryplewiczAndrew Chang
- Partner nations
- United StatesGermanyChina
In The Last Decade
Mark A. Eckert
31 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cancer Research 798
- Reproductive Medicine 266
- Genetics 293
- Molecular Biology 1.7k
- Developmental Neuroscience 94
Countries citing papers authored by Mark A. Eckert
This map shows the geographic impact of Mark A. Eckert'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 A. Eckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Eckert more than expected).
Fields of papers citing papers by Mark A. Eckert
This network shows the impact of papers produced by Mark A. Eckert. 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 A. Eckert. The network helps show where Mark A. Eckert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark A. Eckert, 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 | 2021 | 6 | |
| 2 | 2021 | 7 | |
| 3 | 2019 | 73 | |
| 4 | 2019 | 15 | |
| 5 | Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblastsbreakdown → | 2019 | 325 |
| 6 | m6A mRNA methylation regulates AKT activity to promote the proliferation and tumorigenicity of endometrial cancerbreakdown → | 2018 | 603 |
| 7 | 2017 | 26 | |
| 8 | 2017 | 87 | |
| 9 | 2017 | 33 | |
| 10 | 2017 | 39 | |
| 11 | 2016 | 130 | |
| 12 | 2016 | 154 | |
| 13 | 2015 | 10 | |
| 14 | 2014 | 45 | |
| 15 | 2013 | 53 | |
| 16 | 2013 | 10 | |
| 17 | 2013 | 124 | |
| 18 | 2011 | 395 | |
| 19 | 2011 | 64 | |
| 20 | 1996 | 11 |
About Mark A. Eckert
Mark A. Eckert is a scholar working on Reproductive Medicine, Cancer Research and Immunology and Allergy, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Cancer Cells and Metastasis (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Mesenchymal stem cell research (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Cancer Research (798 citations), Reproductive Medicine (266 citations) and Genetics (293 citations). Mark A. Eckert has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Ernst Lengyel, Weian Zhao, Jing Yang, Samantha M. Tienda, Jihoon Kim, Thinzar M. Lwin, Agnieszka Chryplewicz, Andrew Chang, Lucila Ohno‐Machado and Etienne Danis. Their work appears in journals such as Gynecologic Oncology, Oncotarget, Nature Communications, Cancer Discovery and Scientific Reports.
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.