Mehmet Toner
- Biomedical Engineering top 0.01%
- Microfluidic and Bio-sensing Technologies 104
- 3D Printing in Biomedical Research 92
- Microfluidic and Capillary Electrophoresis Applications 52
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics 33
- Oncology top 0.1%
- Cancer Cells and Metastasis 59
- Hepatology top 0.2%
- Liver physiology and pathology 66
- Reproductive Medicine top 0.2%
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- Reproductive Biology and Fertility 58
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- Organ Transplantation Techniques and Outcomes 41
- Co-authors
- Daniel IrimiaMartin L. YarmushRonald G. TompkinsDaniel A. HaberShyamala MaheswaranDino Di CarloShannon L. StottUlysses J. Balis
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Mehmet Toner
446 papers receiving 40.1k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Biomedical Engineering 21.3k
- Cancer Research 5.7k
- Oncology 9.1k
- Hepatology 2.5k
- Reproductive Medicine 1.5k
Countries citing papers authored by Mehmet Toner
This map shows the geographic impact of Mehmet Toner'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 Mehmet Toner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehmet Toner more than expected).
Fields of papers citing papers by Mehmet Toner
This network shows the impact of papers produced by Mehmet Toner. 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 Mehmet Toner. The network helps show where Mehmet Toner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mehmet Toner, 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 | 2024 | 11 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 17 | |
| 7 | 2018 | 78 | |
| 8 | 2018 | 34 | |
| 9 | 2017 | 115 | |
| 10 | 2015 | 35 | |
| 11 | 2014 | 51 | |
| 12 | 2014 | 200 | |
| 13 | Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasisbreakdown → | 2014 | 1786 |
| 14 | Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Compositionbreakdown → | 2013 | 1928 |
| 15 | 2012 | 217 | |
| 16 | 2006 | 25 | |
| 17 | 2004 | 6 | |
| 18 | 2004 | 2 | |
| 19 | 2002 | 53 | |
| 20 | 1990 | 290 |
About Mehmet Toner
Mehmet Toner is a scholar working on Hepatology, Biomedical Engineering and Reproductive Medicine, having authored 457 papers that have together received 41.1k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (104 papers), 3D Printing in Biomedical Research (92 papers), Liver physiology and pathology (66 papers), Cancer Cells and Metastasis (59 papers), Reproductive Biology and Fertility (58 papers), Microfluidic and Capillary Electrophoresis Applications (52 papers), Organ Transplantation Techniques and Outcomes (41 papers) and Cancer Genomics and Diagnostics (33 papers). The work is most often cited by research in Biomedical Engineering (21.3k citations), Cancer Research (5.7k citations) and Oncology (9.1k citations). Mehmet Toner has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Daniel Irimia, Martin L. Yarmush, Ronald G. Tompkins, Daniel A. Haber, Shyamala Maheswaran, Dino Di Carlo, Shannon L. Stott, Ulysses J. Balis, Lecia V. Sequist and Joseph M. Martel. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.