Mark Badeaux
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
-
- MicroRNA in disease regulation
Papers in
-
- Pluripotent Stem Cells Research 3
- RNA Interference and Gene Delivery 2
- Renal and related cancers 2
- Oncology 5
- Cancer Cells and Metastasis 3
- Co-authors
- Dean G. Tang (6 shared papers)Collene Jeter (4 shared papers)Lubna Patrawala (2 shared papers)Dhyan Chandra (3 shared papers)Tammy Calhoun‐Davis (2 shared papers)Can Liu (2 shared papers)Grace Choy (2 shared papers)George Q. Daley (1 shared paper)
- Journals
- PLoS ONE (2 papers)Cancer Immunology Research (1 paper)npj Breast Cancer (1 paper)Nature Protocols (1 paper)Stem Cells (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Mark Badeaux
15 papers receiving 620 citations
Peers
Comparison fields: 5 of 74
- Oncology 210
- Cancer Research 102
- Molecular Biology 346
- Pulmonary and Respiratory Medicine 97
- Genetics 31
Countries citing papers authored by Mark Badeaux
This map shows the geographic impact of Mark Badeaux'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 Badeaux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Badeaux more than expected).
Fields of papers citing papers by Mark Badeaux
This network shows the impact of papers produced by Mark Badeaux. 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 Badeaux. The network helps show where Mark Badeaux may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Badeaux, 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 | 2009 | 289 | |
| 2 | 2017 | 75 | |
| 3 | 2015 | 57 | |
| 4 | 2020 | 52 | |
| 5 | 2008 | 32 | |
| 6 | 2014 | 24 | |
| 7 | 2017 | 22 | |
| 8 | 2021 | 16 | |
| 9 | 2014 | 13 | |
| 10 | 2011 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2022 | 10 | |
| 13 | Tumor-Initiating Cells, Cancer Metastasis and Therapeutic Implications | 2013 | 10 |
| 14 | 2017 | 5 | |
| 15 | 2018 | 1 |
About Mark Badeaux
Mark Badeaux is a scholar working on Molecular Biology, Oncology, Genetics, Biotechnology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 628 indexed citations. Recurring topics across this work include Cancer Research and Treatments (4 papers), Pluripotent Stem Cells Research (3 papers), Cancer Cells and Metastasis (3 papers), Virus-based gene therapy research (3 papers), Prostate Cancer Treatment and Research (2 papers), RNA Interference and Gene Delivery (2 papers), Renal and related cancers (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Oncology (210 citations), Cancer Research (102 citations), Molecular Biology (346 citations), Pulmonary and Respiratory Medicine (97 citations) and Genetics (31 citations). Mark Badeaux has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Dean G. Tang, Collene Jeter, Lubna Patrawala, Dhyan Chandra, Tammy Calhoun‐Davis, Can Liu, Grace Choy, George Q. Daley, Holm Zaehres and Kamila Naxerova. Their work appears in journals such as PLoS ONE, Cancer Immunology Research, npj Breast Cancer, Nature Protocols and Stem Cells.
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.