Saliha Ece Acuner
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Protein Structure and Dynamics 3
- Bioinformatics and Genomic Networks 2
- RNA and protein synthesis mechanisms 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Attila Gürsoy (6 shared papers)Özlem Keskin (6 shared papers)H. Billur Engin (1 shared paper)Ruth Nussinov (5 shared papers)Türkan Haliloǧlu (2 shared papers)Emine Guven‐Maiorov (2 shared papers)Fidan Sumbul (2 shared papers)Guray Kuzu (1 shared paper)
- Journals
- Biophysical Journal (2 papers)Cancers (1 paper)Journal of Structural Biology (1 paper)Protein Engineering Design and Selection (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- TürkiyeUnited StatesIsrael
In The Last Decade
Saliha Ece Acuner
10 papers receiving 452 citations
Peers
Comparison fields: 5 of 74
- Computational Theory and Mathematics 85
- Molecular Biology 336
- Immunology 62
- Cell Biology 43
- Cancer Research 33
Countries citing papers authored by Saliha Ece Acuner
This map shows the geographic impact of Saliha Ece Acuner'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 Saliha Ece Acuner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saliha Ece Acuner more than expected).
Fields of papers citing papers by Saliha Ece Acuner
This network shows the impact of papers produced by Saliha Ece Acuner. 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 Saliha Ece Acuner. The network helps show where Saliha Ece Acuner may publish in the future.
Co-authors
The 12 scholars most cited alongside Saliha Ece Acuner, 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 | 2011 | 196 | |
| 2 | 2014 | 63 | |
| 3 | 2014 | 63 | |
| 4 | Conformational ensembles, signal transduction and residue hot spots: application to drug discovery. | 2010 | 46 |
| 5 | 2012 | 30 | |
| 6 | 2014 | 20 | |
| 7 | 2015 | 19 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 2 | |
| 10 | 2024 | 1 |
About Saliha Ece Acuner
Saliha Ece Acuner is a scholar working on Molecular Biology, Computational Theory and Mathematics, Immunology, Pharmacology and Oncology, having authored 10 papers that have together received 456 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Bioinformatics and Genomic Networks (2 papers), Inflammatory Bowel Disease (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (85 citations), Molecular Biology (336 citations), Immunology (62 citations), Cell Biology (43 citations) and Cancer Research (33 citations). Saliha Ece Acuner has collaborated with scholars based in Türkiye, United States and Israel. Frequent co-authors include Attila Gürsoy, Özlem Keskin, H. Billur Engin, Ruth Nussinov, Türkan Haliloǧlu, Emine Guven‐Maiorov, Fidan Sumbul, Guray Kuzu, Serena Muratcioğlu and Zhong Chen. Their work appears in journals such as Biophysical Journal, Cancers, Journal of Structural Biology, Protein Engineering Design and Selection and PLoS Computational 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.