Thomas Iftner

12.6k total citations · 3 hit papers
197 papers, 8.4k citations indexed

About

Thomas Iftner is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Thomas Iftner has authored 197 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Epidemiology, 57 papers in Surgery and 45 papers in Molecular Biology. Recurrent topics in Thomas Iftner's work include Cervical Cancer and HPV Research (148 papers), Genital Health and Disease (56 papers) and Hepatitis B Virus Studies (40 papers). Thomas Iftner is often cited by papers focused on Cervical Cancer and HPV Research (148 papers), Genital Health and Disease (56 papers) and Hepatitis B Virus Studies (40 papers). Thomas Iftner collaborates with scholars based in Germany, Denmark and United States. Thomas Iftner's co-authors include Susanne K. Kjær, Christian Munk, Frank Stubenrauch, Kirsten Frederiksen, Karl Ulrich Petry, Jack Cuzick, Christine Clavel, Philippe Birembaut, Juliane Haedicke and Anne Szarewski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Thomas Iftner

193 papers receiving 8.1k citations

Hit Papers

Overview of the European and North American studies on HP... 2006 2026 2012 2019 2006 2008 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Iftner Germany 47 6.7k 2.5k 2.1k 2.0k 989 197 8.4k
John Doorbar United Kingdom 46 6.8k 1.0× 1.8k 0.7× 2.0k 1.0× 2.8k 1.4× 735 0.7× 122 9.3k
Massimo Tommasino France 61 7.2k 1.1× 2.5k 1.0× 3.5k 1.7× 3.8k 1.9× 809 0.8× 315 12.3k
Marcel V. Jacobs Netherlands 11 6.3k 0.9× 2.7k 1.1× 1.7k 0.8× 1.6k 0.8× 891 0.9× 11 7.7k
Mark H. Einstein United States 40 5.7k 0.8× 2.3k 0.9× 2.0k 0.9× 1.1k 0.5× 636 0.6× 136 7.8k
K. V. Shah United States 42 5.5k 0.8× 2.5k 1.0× 2.8k 1.3× 1.2k 0.6× 655 0.7× 123 8.4k
R. J. Kurman United States 39 5.5k 0.8× 2.6k 1.1× 2.1k 1.0× 1.9k 0.9× 648 0.7× 62 9.8k
Theo J.M. Helmerhorst Netherlands 41 3.8k 0.6× 1.8k 0.7× 1.1k 0.5× 935 0.5× 576 0.6× 85 5.2k
Ana Cecilia Rodríguez United States 42 7.1k 1.1× 3.1k 1.3× 1.4k 0.7× 1.4k 0.7× 1.4k 1.4× 109 8.3k
Hans Ikenberg Germany 26 4.3k 0.6× 1.5k 0.6× 1.2k 0.6× 1.2k 0.6× 299 0.3× 69 5.7k
Daniëlle A.M. Heideman Netherlands 56 6.1k 0.9× 3.1k 1.3× 3.6k 1.7× 3.2k 1.6× 1.0k 1.0× 219 10.5k

Countries citing papers authored by Thomas Iftner

Since Specialization
Citations

This map shows the geographic impact of Thomas Iftner'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 Thomas Iftner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Iftner more than expected).

Fields of papers citing papers by Thomas Iftner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Iftner. 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 Thomas Iftner. The network helps show where Thomas Iftner may publish in the future.

Co-authorship network of co-authors of Thomas Iftner

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Iftner. A scholar is included among the top collaborators of Thomas Iftner 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 Thomas Iftner. Thomas Iftner 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
2.
Iftner, Thomas, et al.. (2023). Deregulation of host gene expression by HPV16 E8^E2 knock-out genomes is due to increased productive replication. Virology. 581. 39–47. 1 indexed citations
3.
Khan, Ishtiaq Ahmad, Atia‐tul Wahab, Muhammad Shakeel, et al.. (2023). Study of drug resistance-associated genetic mutations, and phylo-genetic analysis of HCV in the Province of Sindh, Pakistan. Scientific Reports. 13(1). 4 indexed citations
5.
Schroeder, Christopher, Olga Kelemen, Tobias Engler, et al.. (2022). 2022-RA-1048-ESGO Circulating HPV cell-free DNA in cervical cancer. International Journal of Gynecological Cancer. 32. A40–A40. 1 indexed citations
6.
Iftner, Thomas, et al.. (2022). Restriction of viral gene expression and replication prevents immortalization of human keratinocytes by a beta-human papillomavirus. Proceedings of the National Academy of Sciences. 119(11). 8 indexed citations
7.
Forchhammer, Stephan, et al.. (2022). Transcription Properties of Beta-HPV8 and HPV38 Genomes in Human Keratinocytes. Journal of Virology. 96(23). e0149822–e0149822. 3 indexed citations
8.
Munk, Christian, et al.. (2021). The role of circumcision, tobacco, and alcohol use in genital human papillomavirus infection among men from Denmark. International Journal of STD & AIDS. 32(11). 1028–1035. 6 indexed citations
9.
Schneider, Markus, et al.. (2021). BRD4S Interacts with Viral E2 Protein To Limit Human Papillomavirus Late Transcription. Journal of Virology. 95(11). 10 indexed citations
10.
Stubenrauch, Frank, Katrin Klein, Daniela Kramer, et al.. (2021). Expression of E8^E2 Is Required for Wart Formation by Mouse Papillomavirus 1 In Vivo. Journal of Virology. 95(8). 9 indexed citations
11.
Gógl, Gergő, A. Cousido-Siah, Murielle Masson, et al.. (2020). Structure of High-Risk Papillomavirus 31 E6 Oncogenic Protein and Characterization of E6/E6AP/p53 Complex Formation. Journal of Virology. 95(2). 20 indexed citations
12.
Bayyoud, Tarek, Angelika Iftner, Thomas Iftner, et al.. (2020). Absence of Severe Acute Respiratory Syndrome-Coronavirus-2 RNA in ocular tissues. American Journal of Ophthalmology Case Reports. 19. 100805–100805. 13 indexed citations
13.
Iftner, Thomas, et al.. (2020). Contribution of HDAC3 to transcriptional repression by the human papillomavirus 31 E8^E2 protein. Journal of General Virology. 101(7). 751–759. 6 indexed citations
14.
Fertey, Jasmin, Jörg Hagmann, Hans‐Joachim Ruscheweyh, et al.. (2019). Methylation of CpG 5962 in L1 of the human papillomavirus 16 genome as a potential predictive marker for viral persistence: A prospective large cohort study using cervical swab samples. Cancer Medicine. 9(3). 1058–1068. 7 indexed citations
15.
Rasch, Vibeke, Crispin Kahesa, Julius Mwaiselage, et al.. (2011). Human Papillomavirus Prevalence and Type Distribution in 3603 HIV-Positive and HIV-Negative Women in the General Population of Tanzania. Sexually Transmitted Diseases. 39(3). 201–208. 58 indexed citations
16.
Schuetz, Johanna M., et al.. (2010). Cutaneous Papillomavirus E6 Proteins Must Interact with p300 and Block p53-Mediated Apoptosis for Cellular Immortalization and Tumorigenesis. Cancer Research. 70(17). 6913–6924. 68 indexed citations
18.
Andersson, Kristin, Tim Waterboer, Reinhard Kirnbauer, et al.. (2008). Seroreactivity to Cutaneous Human Papillomaviruses among Patients with Nonmelanoma Skin Cancer or Benign Skin Lesions. Cancer Epidemiology Biomarkers & Prevention. 17(1). 189–195. 67 indexed citations
19.
Hasan, Uzma, Elizabeth E. M. Bates, Fumihiko Takeshita, et al.. (2007). TLR9 Expression and Function Is Abolished by the Cervical Cancer-Associated Human Papillomavirus Type 16. The Journal of Immunology. 178(5). 3186–3197. 279 indexed citations
20.
Wu, Joyce C., Cathy Lee, Daniel Yokom, et al.. (2006). Disruption of the Y-Box Binding Protein-1 Results in Suppression of the Epidermal Growth Factor Receptor and HER-2. Cancer Research. 66(9). 4872–4879. 136 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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