Mutlu Mete
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
Papers in
- Oncology 18
- Cutaneous Melanoma Detection and Management 18
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- AI in cancer detection 12
- Co-authors
- Nikolay Sirakov (10 shared papers)Nurcan Yuruk (9 shared papers)Sinan Kockara (11 shared papers)Fusheng Tang (2 shared papers)Xiaowei Xu (2 shared papers)Ümit Topaloĝlu (3 shared papers)Xiaowei Xu (3 shared papers)Thomas A. J. Schweiger (2 shared papers)
- Journals
- BMC Bioinformatics (10 papers)Computerized Medical Imaging and Graphics (3 papers)Bioinformatics (1 paper)International series in management science/operations research/International series in operations research & management science (1 paper)Blood (1 paper)
- Partner nations
- United StatesTürkiyeChina
In The Last Decade
Mutlu Mete
54 papers receiving 701 citations
Peers
Comparison fields: 5 of 119
- Transplantation 65
- Oncology 212
- Artificial Intelligence 248
- Computer Vision and Pattern Recognition 110
- Biophysics 27
Countries citing papers authored by Mutlu Mete
This map shows the geographic impact of Mutlu Mete'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 Mutlu Mete with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mutlu Mete more than expected).
Fields of papers citing papers by Mutlu Mete
This network shows the impact of papers produced by Mutlu Mete. 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 Mutlu Mete. The network helps show where Mutlu Mete may publish in the future.
Co-authors
The 25 scholars most cited alongside Mutlu Mete, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 102 | |
| 2 | 2015 | 51 | |
| 3 | 2010 | 42 | |
| 4 | 2010 | 38 | |
| 5 | 2016 | 34 | |
| 6 | 2007 | 31 | |
| 7 | 2011 | 30 | |
| 8 | 2009 | 27 | |
| 9 | 2012 | 25 | |
| 10 | 2007 | 25 | |
| 11 | 2019 | 23 | |
| 12 | 2010 | 20 | |
| 13 | 2009 | 19 | |
| 14 | 2011 | 18 | |
| 15 | 2010 | 14 | |
| 16 | 2009 | 14 | |
| 17 | 2016 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2023 | 11 | |
| 20 | 2019 | 11 |
About Mutlu Mete
Mutlu Mete is a scholar working on Oncology, Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology and Epidemiology, having authored 56 papers that have together received 728 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (18 papers), AI in cancer detection (12 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Digital Imaging for Blood Diseases (4 papers), Nonmelanoma Skin Cancer Studies (4 papers), Medical Image Segmentation Techniques (3 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Transplantation (65 citations), Oncology (212 citations), Artificial Intelligence (248 citations), Computer Vision and Pattern Recognition (110 citations) and Biophysics (27 citations). Mutlu Mete has collaborated with scholars based in United States, Türkiye and China. Frequent co-authors include Nikolay Sirakov, Nurcan Yuruk, Sinan Kockara, Fusheng Tang, Xiaowei Xu, Ümit Topaloĝlu, Xiaowei Xu, Thomas A. J. Schweiger, Bryon Adinoff and Xiaowei Xu. Their work appears in journals such as BMC Bioinformatics, Computerized Medical Imaging and Graphics, Bioinformatics, International series in management science/operations research/International series in operations research & management science and Blood.
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.