Tuna Toptan

1.9k total citations · 1 hit paper
30 papers, 1.0k citations indexed

About

Tuna Toptan is a scholar working on Infectious Diseases, Oncology and Molecular Biology. According to data from OpenAlex, Tuna Toptan has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 14 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Tuna Toptan's 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). Tuna Toptan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (14 papers), Polyomavirus and related diseases (11 papers) and SARS-CoV-2 detection and testing (9 papers). Tuna Toptan collaborates with scholars based in Germany, United States and United Kingdom. Tuna Toptan's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Tuna Toptan

29 papers receiving 1.0k citations

Hit Papers

Limited neutralisation of the SARS-CoV-2 Omicron subvaria... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tuna Toptan Germany 16 485 346 326 162 145 30 1.0k
Nir Drayman United States 14 98 0.2× 160 0.5× 287 0.9× 66 0.4× 47 0.3× 22 649
Carla Prezioso Italy 14 99 0.2× 331 1.0× 80 0.2× 203 1.3× 34 0.2× 46 600
Anna Bellizzi Italy 17 149 0.3× 435 1.3× 240 0.7× 229 1.4× 12 0.1× 46 869
Nicole M. Broekema United States 8 198 0.4× 234 0.7× 186 0.6× 123 0.8× 4 0.0× 10 614
Christine Hanssen Rinaldo Norway 29 466 1.0× 1.5k 4.4× 123 0.4× 828 5.1× 13 0.1× 49 1.9k
L.J. Stroh Germany 14 108 0.2× 338 1.0× 194 0.6× 188 1.2× 8 0.1× 20 668
Karen E. Warschaw United States 11 42 0.1× 304 0.9× 49 0.2× 155 1.0× 133 0.9× 19 493
Achintya Pal United States 7 156 0.3× 113 0.3× 152 0.5× 69 0.4× 6 0.0× 12 388
Francesca Farchi Italy 14 163 0.3× 222 0.6× 83 0.3× 33 0.2× 12 0.1× 33 539
Maik Stein Germany 16 416 0.9× 350 1.0× 167 0.5× 89 0.5× 12 0.1× 27 1.0k

Countries citing papers authored by Tuna Toptan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Vehreschild, Maria J. G. T., Alison Kuchta, Christopher Dodoo, et al.. (2024). Kinetics of SARS-CoV-2 infection biomarkers in a household transmission study. Scientific Reports. 14(1). 12365–12365.
2.
Oswald, Marcus, et al.. (2023). Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviral. Frontiers in Microbiology. 14. 1193320–1193320. 1 indexed citations
3.
Pallas, Christiane, Alexander Wilhelm, Niko Kohmer, et al.. (2023). Comparison of the Ct-values for genomic and subgenomic SARS-CoV-2 RNA reveals limited predictive value for the presence of replication competent virus. Journal of Clinical Virology. 165. 105499–105499. 1 indexed citations
4.
Grikscheit, Katharina, Holger F. Rabenau, Marek Widera, et al.. (2022). Characterization of the Antibody and Interferon-Gamma Release Response after a Second COVID-19 Booster Vaccination. Vaccines. 10(7). 1163–1163. 4 indexed citations
5.
Wilhelm, Alexander, Marek Widera, Katharina Grikscheit, et al.. (2022). Limited neutralisation of the SARS-CoV-2 Omicron subvariants BA.1 and BA.2 by convalescent and vaccine serum and monoclonal antibodies. EBioMedicine. 82. 104158–104158. 109 indexed citations breakdown →
6.
Hoehl, Sebastian, Tuna Toptan, Barbara Schenk, et al.. (2022). Low But Recoverable Markers of Humoral Immune Response to BNT162b2 in Elderly LTCF Residents Five to Seven Months After Two-Dose Vaccination. SHILAP Revista de lepidopterología. 3. 883724–883724. 6 indexed citations
8.
Widera, Marek, Alexander Wilhelm, Tuna Toptan, et al.. (2021). Generation of a Sleeping Beauty Transposon-Based Cellular System for Rapid and Sensitive Screening for Compounds and Cellular Factors Limiting SARS-CoV-2 Replication. Frontiers in Microbiology. 12. 701198–701198. 25 indexed citations
9.
Toptan, Tuna, Sandra Ciesek, & Sebastian Hoehl. (2021). Pediatrics and COVID-19. Advances in experimental medicine and biology. 1318. 197–208. 4 indexed citations
10.
Toptan, Tuna, Xuemei Zeng, Mai Sun, et al.. (2020). Proteomic approach to discover human cancer viruses from formalin-fixed tissues. JCI Insight. 5(22). 3 indexed citations
11.
Abere, Bizunesh, Jinghui Li, Tuna Toptan, et al.. (2020). Merkel Cell Polyomavirus Encodes Circular RNAs (circRNAs) Enabling a Dynamic circRNA/microRNA/mRNA Regulatory Network. mBio. 11(6). 35 indexed citations
12.
Frigerio, Alice, et al.. (2019). Widespread keratosis pilaris–like eruption in an immunocompromised child. JAAD Case Reports. 5(4). 352–354. 4 indexed citations
13.
Toptan, Tuna, Brian Turpin, David P. Witte, et al.. (2018). Limited detection of human polyomaviruses in Fanconi anemia related squamous cell carcinoma. PLoS ONE. 13(12). e0209235–e0209235. 7 indexed citations
14.
Toptan, Tuna, Bizunesh Abere, Michael A. Nalesnik, et al.. (2018). Circular DNA tumor viruses make circular RNAs. Proceedings of the National Academy of Sciences. 115(37). E8737–E8745. 140 indexed citations
15.
Amako, Yutaka, et al.. (2018). Characterization of a Merkel Cell Polyomavirus-Positive Merkel Cell Carcinoma Cell Line CVG-1. Frontiers in Microbiology. 9. 713–713. 21 indexed citations
16.
Smith, Shane, Gulsun Erdag, Jonathan D. Cuda, et al.. (2017). Treatment of human polyomavirus‐7‐associated rash and pruritus with topical cidofovir in a lung transplant patient: Case report and literature review. Transplant Infectious Disease. 20(1). 10 indexed citations
17.
Rigatti, Lora H., Tuna Toptan, Joseph T. Newsome, Patrick S. Moore, & Yuan Chang. (2016). Identification and Characterization of Novel Rat Polyomavirus 2 in a Colony of X-SCID Rats by P-PIT assay. mSphere. 1(6). 18 indexed citations
18.
Toptan, Tuna, Samuel A. Yousem, Jonhan Ho, et al.. (2016). Survey for human polyomaviruses in cancer. JCI Insight. 1(2). 38 indexed citations
19.
Liu, Xi, Simon C. W. Richardson, Per Basse, et al.. (2011). Merkel Cell Polyomavirus Large T Antigen Disrupts Lysosome Clustering by Translocating Human Vam6p from the Cytoplasm to the Nucleus. Journal of Biological Chemistry. 286(19). 17079–17090. 50 indexed citations
20.
Toptan, Tuna, Armin Ensser, & Helmut Fickenscher. (2010). Rhadinovirus vector-derived human telomerase reverse transcriptase expression in primary T cells. Gene Therapy. 17(5). 653–661. 4 indexed citations

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.

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