Suleyman Vural
Impact in
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- Cancer Genomics and Diagnostics
Papers in
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- Cancer Genomics and Diagnostics 4
- Cancer, Hypoxia, and Metabolism 1
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- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 3
- Machine Learning in Bioinformatics 2
- Gene expression and cancer classification 1
- RNA Research and Splicing 1
- Co-authors
- Chittibabu Guda (4 shared papers)Xiaosheng Wang (2 shared papers)Julia Krushkal (5 shared papers)Brian R. King (2 shared papers)Dmitriy Sonkin (4 shared papers)William C. Reinhold (2 shared papers)Yves G. Pommier (2 shared papers)Beverly A. Teicher (2 shared papers)
- Journals
- Clinical Epigenetics (3 papers)Human Mutation (2 papers)Scientific Reports (1 paper)Bioinformatics (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- United StatesMalaysiaTaiwan
In The Last Decade
Suleyman Vural
13 papers receiving 284 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 51
- Health Informatics 5
- Molecular Biology 178
- Oncology 60
- Health Information Management 5
Countries citing papers authored by Suleyman Vural
This map shows the geographic impact of Suleyman Vural'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 Suleyman Vural with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suleyman Vural more than expected).
Fields of papers citing papers by Suleyman Vural
This network shows the impact of papers produced by Suleyman Vural. 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 Suleyman Vural. The network helps show where Suleyman Vural may publish in the future.
Co-authors
The 25 scholars most cited alongside Suleyman Vural, 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 | 2016 | 67 | |
| 2 | 2020 | 61 | |
| 3 | 2012 | 41 | |
| 4 | 2015 | 26 | |
| 5 | 2021 | 22 | |
| 6 | 2013 | 17 | |
| 7 | 2019 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2018 | 11 | |
| 10 | 2017 | 7 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 1 |
About Suleyman Vural
Suleyman Vural is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Insect Science, having authored 13 papers that have together received 285 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Machine Learning in Bioinformatics (2 papers), Gene expression and cancer classification (1 paper), RNA Research and Splicing (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cancer Research (51 citations), Health Informatics (5 citations), Molecular Biology (178 citations), Oncology (60 citations) and Health Information Management (5 citations). Suleyman Vural has collaborated with scholars based in United States, Malaysia and Taiwan. Frequent co-authors include Chittibabu Guda, Xiaosheng Wang, Julia Krushkal, Brian R. King, Dmitriy Sonkin, William C. Reinhold, Yves G. Pommier, Beverly A. Teicher, Sanjit Pandey and Alida Palmisano. Their work appears in journals such as Clinical Epigenetics, Human Mutation, Scientific Reports, Bioinformatics and BMC Systems Biology.
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.