Alexander Buschle

598 total citations
8 papers, 390 citations indexed

About

Alexander Buschle is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Alexander Buschle has authored 8 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Alexander Buschle's work include Cytomegalovirus and herpesvirus research (6 papers), Viral-associated cancers and disorders (6 papers) and Immune Cell Function and Interaction (3 papers). Alexander Buschle is often cited by papers focused on Cytomegalovirus and herpesvirus research (6 papers), Viral-associated cancers and disorders (6 papers) and Immune Cell Function and Interaction (3 papers). Alexander Buschle collaborates with scholars based in Germany and France. Alexander Buschle's co-authors include Wolfgang Hammerschmidt, Paulina Mrozek-Górska, Dagmar Pich, Thomas Schwarzmayr, Antonio Scialdone, Takanobu Tagawa, Manuel Albanese, Filippo M. Cernilogar, Gunnar Schotta and Stefan Krebs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Virology.

In The Last Decade

Alexander Buschle

8 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Buschle Germany 8 256 123 122 118 92 8 390
Shidong Ma United States 10 264 1.0× 189 1.5× 102 0.8× 125 1.1× 97 1.1× 12 453
Jillian A. Bristol United States 13 276 1.1× 121 1.0× 89 0.7× 128 1.1× 145 1.6× 16 408
Quentin Bazot United Kingdom 11 258 1.0× 107 0.9× 92 0.8× 117 1.0× 120 1.3× 16 343
Rémy Poirey Germany 13 289 1.1× 103 0.8× 172 1.4× 97 0.8× 125 1.4× 20 467
Jason P. Tourigny United States 5 222 0.9× 83 0.7× 85 0.7× 120 1.0× 79 0.9× 11 305
Richard D. Palermo United Kingdom 9 208 0.8× 68 0.6× 134 1.1× 77 0.7× 92 1.0× 9 327
Q Zhang United States 5 347 1.4× 80 0.7× 121 1.0× 97 0.8× 100 1.1× 8 403
Stacy R. Hagemeier United States 11 395 1.5× 120 1.0× 171 1.4× 227 1.9× 115 1.3× 13 549
Kostas Paschos United Kingdom 11 453 1.8× 189 1.5× 177 1.5× 155 1.3× 199 2.2× 13 581
Ana Raykova Switzerland 11 350 1.4× 266 2.2× 51 0.4× 161 1.4× 166 1.8× 12 524

Countries citing papers authored by Alexander Buschle

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Buschle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Buschle

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Buschle. A scholar is included among the top collaborators of Alexander Buschle 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 Alexander Buschle. Alexander Buschle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Albanese, Manuel, et al.. (2021). Highly efficient CRISPR-Cas9-mediated gene knockout in primary human B cells for functional genetic studies of Epstein-Barr virus infection. PLoS Pathogens. 17(4). e1009117–e1009117. 18 indexed citations
2.
Buschle, Alexander, Xia Wu, Stefan Krebs, et al.. (2021). Human ORC/MCM density is low in active genes and correlates with replication time but does not delimit initiation zones. eLife. 10. 25 indexed citations
3.
Buschle, Alexander, Paulina Mrozek-Górska, Filippo M. Cernilogar, et al.. (2021). Epstein-Barr virus inactivates the transcriptome and disrupts the chromatin architecture of its host cell in the first phase of lytic reactivation. Nucleic Acids Research. 49(6). 3217–3241. 20 indexed citations
4.
Günther, Johannes, Alexander Buschle, Christine Göbel, et al.. (2021). Structural basis of DNA methylation-dependent site selectivity of the Epstein–Barr virus lytic switch protein ZEBRA/Zta/BZLF1. Nucleic Acids Research. 50(1). 490–511. 17 indexed citations
5.
Buschle, Alexander & Wolfgang Hammerschmidt. (2020). Epigenetic lifestyle of Epstein-Barr virus. Seminars in Immunopathology. 42(2). 131–142. 74 indexed citations
6.
Mrozek-Górska, Paulina, Alexander Buschle, Dagmar Pich, et al.. (2019). Epstein–Barr virus reprograms human B lymphocytes immediately in the prelatent phase of infection. Proceedings of the National Academy of Sciences. 116(32). 16046–16055. 139 indexed citations
7.
Mrozek-Górska, Paulina, Alexander Buschle, Takanobu Tagawa, et al.. (2019). BZLF1 interacts with chromatin remodelers promoting escape from latent infections with EBV. Life Science Alliance. 2(2). e201800108–e201800108. 35 indexed citations
8.
Albanese, Manuel, Takanobu Tagawa, Alexander Buschle, & Wolfgang Hammerschmidt. (2017). MicroRNAs of Epstein-Barr Virus Control Innate and Adaptive Antiviral Immunity. Journal of Virology. 91(16). 62 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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