Peer Papior

1.5k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Peer Papior is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Peer Papior has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in Peer Papior's work include Cytomegalovirus and herpesvirus research (3 papers), interferon and immune responses (2 papers) and Viral-associated cancers and disorders (2 papers). Peer Papior is often cited by papers focused on Cytomegalovirus and herpesvirus research (3 papers), interferon and immune responses (2 papers) and Viral-associated cancers and disorders (2 papers). Peer Papior collaborates with scholars based in Germany and Switzerland. Peer Papior's co-authors include Thomas Stamminger, Sabine Rechter, Nina Tavalai, Olivier Gires, Sabine Denzel, Martin Canis, Philip Went, Brigitte Mack, Markus Münz and C. Kieu and has published in prestigious journals such as The Journal of Cell Biology, Nature Cell Biology and Journal of Virology.

In The Last Decade

Peer Papior

7 papers receiving 1.2k citations

Hit Papers

Nuclear signalling by tumour-associated antigen EpCAM 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peer Papior Germany 7 609 458 412 294 145 7 1.2k
Julia Shackelford United States 18 696 1.1× 249 0.5× 529 1.3× 257 0.9× 251 1.7× 24 1.2k
Virginie Prod’homme France 17 296 0.5× 657 1.4× 298 0.7× 903 3.1× 105 0.7× 23 1.5k
Suman Bharara United States 7 269 0.4× 551 1.2× 323 0.8× 242 0.8× 85 0.6× 8 1.0k
Uwe Reusch Germany 26 689 1.1× 387 0.8× 813 2.0× 1.2k 4.0× 61 0.4× 72 2.2k
Irini Evnouchidou France 18 466 0.8× 373 0.8× 480 1.2× 701 2.4× 80 0.6× 32 1.3k
Lourdes Planelles Spain 19 294 0.5× 217 0.5× 213 0.5× 587 2.0× 117 0.8× 22 1.1k
Arne Bakker Netherlands 23 542 0.9× 311 0.7× 620 1.5× 945 3.2× 98 0.7× 30 1.9k
Christopher A. Lazarski United States 17 447 0.7× 226 0.5× 379 0.9× 727 2.5× 67 0.5× 39 1.3k
Diana Palmeri United States 15 412 0.7× 585 1.3× 703 1.7× 180 0.6× 54 0.4× 18 1.2k
Lisa Denzin United States 27 871 1.4× 199 0.4× 224 0.5× 2.1k 7.3× 145 1.0× 57 2.8k

Countries citing papers authored by Peer Papior

Since Specialization
Citations

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

Fields of papers citing papers by Peer Papior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peer Papior

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

All Works

7 of 7 papers shown
1.
Papior, Peer, José M. Arteaga-Salas, Thomas Günther, Adam Grundhoff, & Aloys Schepers. (2012). Open chromatin structures regulate the efficiencies of pre-RC formation and replication initiation in Epstein-Barr virus. The Journal of Cell Biology. 198(4). 509–528. 12 indexed citations
2.
Deutsch, Manuel J., Elisabeth Ott, Peer Papior, & Aloys Schepers. (2009). The Latent Origin of Replication of Epstein-Barr Virus Directs Viral Genomes to Active Regions of the Nucleus. Journal of Virology. 84(5). 2533–2546. 29 indexed citations
3.
Schepers, Aloys & Peer Papior. (2009). Why are we where we are? Understanding replication origins and initiation sites in eukaryotes using ChIP-approaches. Chromosome Research. 18(1). 63–77. 27 indexed citations
4.
Maetzel, Dorothea, Sabine Denzel, Brigitte Mack, et al.. (2009). Nuclear signalling by tumour-associated antigen EpCAM. Nature Cell Biology. 11(2). 162–171. 565 indexed citations breakdown →
5.
Tavalai, Nina, Peer Papior, Sabine Rechter, & Thomas Stamminger. (2007). Nuclear Domain 10 Components Promyelocytic Leukemia Protein and hDaxx Independently Contribute to an Intrinsic Antiviral Defense against Human Cytomegalovirus Infection. Journal of Virology. 82(1). 126–137. 108 indexed citations
6.
Tavalai, Nina, Peer Papior, Sabine Rechter, Martina Leis, & Thomas Stamminger. (2006). Evidence for a Role of the Cellular ND10 Protein PML in Mediating Intrinsic Immunity against Human Cytomegalovirus Infections. Journal of Virology. 80(16). 8006–8018. 185 indexed citations
7.
Everett, Roger D., Sabine Rechter, Peer Papior, et al.. (2006). PML Contributes to a Cellular Mechanism of Repression of Herpes Simplex Virus Type 1 Infection That Is Inactivated by ICP0. Journal of Virology. 80(16). 7995–8005. 279 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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