Ferenc Reinhardt
- Molecular Biology top 0.5%
- Oncology top 0.2%
- Cancer Research top 0.2%
- Immunology top 2%
- Cell Biology top 0.5%
- Co-authors
- Robert A. WeinbergGeorge W. BellChristine L. ChafferElinor Ng EatonWai Leong TamBrian BierieTsukasa ShibueWenjun Guo
- Topics
- Cancer Cells and Metastasis (28 papers)MicroRNA in disease regulation (8 papers)Epigenetics and DNA Methylation (6 papers)
- Partner nations
- United StatesSingaporeBelgium
In The Last Decade
Ferenc Reinhardt
50 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 6.7k
- Oncology 5.8k
- Cancer Research 4.0k
- Immunology 1.5k
- Cell Biology 1.3k
Countries citing papers authored by Ferenc Reinhardt
This map shows the geographic impact of Ferenc Reinhardt'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 Ferenc Reinhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferenc Reinhardt more than expected).
Fields of papers citing papers by Ferenc Reinhardt
This network shows the impact of papers produced by Ferenc Reinhardt. 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 Ferenc Reinhardt. The network helps show where Ferenc Reinhardt may publish in the future.
Co-authorship network of co-authors of Ferenc Reinhardt
This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc Reinhardt. A scholar is included among the top collaborators of Ferenc Reinhardt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ferenc Reinhardt. Ferenc Reinhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 93 | |
| 3 | Acquisition of a hybrid E/M state is essential for tumorigenicity of basal breast cancer cellsbreakdown → | 341 |
| 4 | 10 | |
| 5 | 244 | |
| 6 | 295 | |
| 7 | 122 | |
| 8 | 258 | |
| 9 | 370 | |
| 10 | Distinct EMT programs control normal mammary stem cells and tumour-initiating cells | 1 |
| 11 | 66 | |
| 12 | 240 | |
| 13 | 257 | |
| 14 | 268 | |
| 15 | 176 | |
| 16 | Slug and Sox9 Cooperatively Determine the Mammary Stem Cell Statebreakdown → | 755 |
| 17 | Therapeutic silencing of miR-10b inhibits metastasis in a mouse mammary tumor model | 33 |
| 18 | miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis | 1 |
| 19 | 13 | |
| 20 | 141 |
About Ferenc Reinhardt
Ferenc Reinhardt is a scholar working on Oncology, Cancer Research and Cell Biology, having authored 51 papers that have together received 11.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (28 papers), MicroRNA in disease regulation (8 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Cancer Research (4.0k citations), Oncology (5.8k citations) and Molecular Biology (6.7k citations). Ferenc Reinhardt has collaborated with scholars based in United States, Singapore and Belgium. Frequent co-authors include Robert A. Weinberg, George W. Bell, Christine L. Chaffer, Elinor Ng Eaton, Wai Leong Tam, Brian Bierie, Tsukasa Shibue, Wenjun Guo, Elizabeth Pan and Julie Teruya‐Feldstein. Their work appears in journals such as Nature, Science and Cell.
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.