Tuna Toptan
- Infectious Diseases top 5%
- Oncology top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Yuan ChangPatrick S. MooreSebastian HoehlSandra CiesekMarek WideraChristiane PallasAnnika PfeifferNiko Kohmer
- Topics
- SARS-CoV-2 and COVID-19 Research (14 papers)Polyomavirus and related diseases (11 papers)SARS-CoV-2 detection and testing (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Tuna Toptan
29 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Infectious Diseases 485
- Oncology 346
- Molecular Biology 326
- Electrical and Electronic Engineering 162
- Biomedical Engineering 145
Countries citing papers authored by Tuna Toptan
This map shows the geographic impact of Tuna Toptan'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 Tuna Toptan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuna Toptan more than expected).
Fields of papers citing papers by Tuna Toptan
This network shows the impact of papers produced by Tuna Toptan. 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 Tuna Toptan. The network helps show where Tuna Toptan may publish in the future.
Co-authorship network of co-authors of Tuna Toptan
This figure shows the co-authorship network connecting the top 25 collaborators of Tuna Toptan. A scholar is included among the top collaborators of Tuna Toptan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tuna Toptan. Tuna Toptan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | Limited neutralisation of the SARS-CoV-2 Omicron subvariants BA.1 and BA.2 by convalescent and vaccine serum and monoclonal antibodiesbreakdown → | 109 |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 25 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 35 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 140 | |
| 15 | 21 | |
| 16 | 10 | |
| 17 | 18 | |
| 18 | 38 | |
| 19 | 50 | |
| 20 | 4 |
About Tuna Toptan
Tuna Toptan is a scholar working on Infectious Diseases, Oncology and Animal Science and Zoology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Polyomavirus and related diseases (11 papers) and SARS-CoV-2 detection and testing (9 papers). The work is most often cited by research in Infectious Diseases (485 citations), Oncology (346 citations) and Cancer Research (134 citations). Tuna Toptan has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Yuan Chang, Patrick S. Moore, Sebastian Hoehl, Sandra Ciesek, Marek Widera, Christiane Pallas, Annika Pfeiffer, Niko Kohmer, Bizunesh Abere and Masahiro Shuda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.