Can Ünal
Impact in
- Endocrinology top 2%
- Legionella and Acanthamoeba research
- Vibrio bacteria research studies
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
-
- Signaling Pathways in Disease 8
- Bacterial biofilms and quorum sensing 6
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- Legionella and Acanthamoeba research 12
- Vibrio bacteria research studies 4
- Co-authors
- Michael Steinert (26 shared papers)Kristian Riesbeck (4 shared papers)Viveka Schaar (1 shared paper)Ludwig Eichinger (5 shared papers)Angelika A. Noegel (3 shared papers)Birendra Singh (2 shared papers)Gunter Fischer (3 shared papers)Jörg Hacker (2 shared papers)
In The Last Decade
Can Ünal
32 papers receiving 875 citations
Peers
Comparison fields: 5 of 94
- Endocrinology 221
- Microbiology 163
- Immunology 203
- Epidemiology 219
- Molecular Biology 414
Countries citing papers authored by Can Ünal
This map shows the geographic impact of Can Ünal'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 Can Ünal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Ünal more than expected).
Fields of papers citing papers by Can Ünal
This network shows the impact of papers produced by Can Ünal. 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 Can Ünal. The network helps show where Can Ünal may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Ünal, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 135 | |
| 2 | 2010 | 114 | |
| 3 | 2010 | 80 | |
| 4 | 2006 | 79 | |
| 5 | 2010 | 51 | |
| 6 | 2018 | 46 | |
| 7 | 2012 | 41 | |
| 8 | 2017 | 39 | |
| 9 | 2015 | 34 | |
| 10 | 2016 | 27 | |
| 11 | 2014 | 23 | |
| 12 | 2010 | 22 | |
| 13 | 2010 | 20 | |
| 14 | 2011 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2011 | 15 | |
| 17 | 2006 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2014 | 14 | |
| 20 | 2021 | 13 |
About Can Ünal
Can Ünal is a scholar working on Molecular Biology, Endocrinology, Infectious Diseases, Immunology and Epidemiology, having authored 33 papers that have together received 889 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (12 papers), Signaling Pathways in Disease (8 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Bacterial biofilms and quorum sensing (6 papers), Vibrio bacteria research studies (4 papers), Bacterial Infections and Vaccines (4 papers), Peptidase Inhibition and Analysis (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Endocrinology (221 citations), Microbiology (163 citations), Immunology (203 citations), Epidemiology (219 citations) and Molecular Biology (414 citations). Can Ünal has collaborated with scholars based in Germany, Türkiye and Sweden. Frequent co-authors include Michael Steinert, Kristian Riesbeck, Viveka Schaar, Ludwig Eichinger, Angelika A. Noegel, Birendra Singh, Gunter Fischer, Jörg Hacker, Udo Lorenz and Bo Nilson. Their work appears in journals such as Cellular Microbiology, International Journal of Medical Microbiology, Infection and Immunity, Frontiers in Pharmacology and Frontiers in Bioengineering and Biotechnology.
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.