Gerhard Laux

2.9k total citations
34 papers, 2.3k citations indexed

About

Gerhard Laux is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Gerhard Laux has authored 34 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 18 papers in Pathology and Forensic Medicine and 11 papers in Immunology. Recurrent topics in Gerhard Laux's work include Viral-associated cancers and disorders (28 papers), Lymphoma Diagnosis and Treatment (18 papers) and Parvovirus B19 Infection Studies (9 papers). Gerhard Laux is often cited by papers focused on Viral-associated cancers and disorders (28 papers), Lymphoma Diagnosis and Treatment (18 papers) and Parvovirus B19 Infection Studies (9 papers). Gerhard Laux collaborates with scholars based in Germany, Switzerland and France. Gerhard Laux's co-authors include Georg W. Bornkamm, Paul J. Farrell, Ursula Zimber‐Strobl, U.K. Freese, Dirk Eick, Michel Perricaudet, Lothar J. Strobl, Bettina Kempkes, Gabriele Marschall and Carmen Kaiser and has published in prestigious journals such as The EMBO Journal, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

Gerhard Laux

34 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerhard Laux Germany 27 1.8k 974 626 514 503 34 2.3k
Dagmar Pich Germany 21 1.5k 0.8× 468 0.5× 563 0.9× 935 1.8× 356 0.7× 29 2.3k
Leandros Arvanitakis United States 11 1.7k 0.9× 475 0.5× 377 0.6× 1.0k 2.0× 366 0.7× 12 2.1k
Martina Vockerodt Germany 21 1.0k 0.6× 751 0.8× 702 1.1× 634 1.2× 117 0.2× 38 2.2k
David Gutsch United States 15 774 0.4× 303 0.3× 403 0.6× 273 0.5× 124 0.2× 16 1.2k
I. Joab France 16 769 0.4× 425 0.4× 211 0.3× 211 0.4× 178 0.4× 29 1.2k
Pathmanathan Rajadurai Malaysia 20 1.1k 0.6× 304 0.3× 202 0.3× 228 0.4× 240 0.5× 60 1.7k
Elaine J. Schattner United States 19 665 0.4× 565 0.6× 1.1k 1.7× 264 0.5× 95 0.2× 31 2.0k
Stefan Imreh Sweden 19 855 0.5× 288 0.3× 417 0.7× 320 0.6× 134 0.3× 43 1.8k
Daphne van Leeuwen Netherlands 18 849 0.5× 190 0.2× 797 1.3× 691 1.3× 129 0.3× 20 1.5k
Pramod P. Naranatt United States 11 978 0.5× 176 0.2× 308 0.5× 861 1.7× 149 0.3× 14 1.4k

Countries citing papers authored by Gerhard Laux

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Laux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Laux

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Laux. A scholar is included among the top collaborators of Gerhard Laux 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 Gerhard Laux. Gerhard Laux 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.
Faumont, Nathalie, Martin Schlee, Sebastian Grömminger, et al.. (2009). c-Myc and Rel/NF-κB Are the Two Master Transcriptional Systems Activated in the Latency III Program of Epstein-Barr Virus-Immortalized B Cells. Journal of Virology. 83(10). 5014–5027. 50 indexed citations
2.
Schlee, Martin, Marino Schuhmacher, Michael Hölzel, Gerhard Laux, & Georg W. Bornkamm. (2007). c‐MYC Impairs Immunogenicity of Human B Cells. Advances in cancer research. 97. 167–188. 23 indexed citations
3.
Schlee, Martin, Michael Hölzel, Sandra Bernard, et al.. (2007). c‐MYC activation impairs the NF‐κB and the interferon response: Implications for the pathogenesis of Burkitt's lymphoma. International Journal of Cancer. 120(7). 1387–1395. 76 indexed citations
4.
5.
Moreno, Stéphanie, Gerhard Laux, Markus Brielmeier, Georg W. Bornkamm, & Marcus Conrad. (2003). Testis-Specific Expression of the Nuclear Form of Phospholipid Hydroperoxide Glutathione Peroxidase (PHGPx). Biological Chemistry. 384(4). 635–643. 51 indexed citations
6.
Dudziak, Diana, Arnd Kieser, Ulrike Dirmeier, et al.. (2003). Latent Membrane Protein 1 of Epstein-Barr Virus Induces CD83 by the NF-κB Signaling Pathway. Journal of Virology. 77(15). 8290–8298. 40 indexed citations
7.
Brielmeier, Markus, Jean‐Marie Béchet, Sabine Suppmann, et al.. (2001). Cloning of Phospholipid Hydroperoxide Glutathione Peroxidase (PHGPx) as an anti‐apoptotic and growth promoting gene of Burkitt Lymphoma cells. BioFactors. 14(1-4). 179–190. 29 indexed citations
8.
Pajic, Alexander, Axel Polack, Martin S. Staege, et al.. (2001). Elevated expression of c-myc in lymphoblastoid cells does not support an Epstein–Barr virus latency III-to-I switch. Journal of General Virology. 82(12). 3051–3055. 16 indexed citations
9.
10.
Zimber‐Strobl, Ursula, Lothar J. Strobl, Bettina Kempkes, et al.. (1999). EBNA2 and c-myc in B Cell Immortalization by Epstein-Barr Virus and in the Pathogenesis of Burkitt’s Lymphoma. Current topics in microbiology and immunology. 246. 315–321. 8 indexed citations
11.
Strobl, Lothar J., Gabriele Marschall, Markus Brielmeier, et al.. (1997). Both Epstein-Barr Viral Nuclear Antigen 2 (EBNA2) and Activated Notch1 Transactivate Genes by Interacting with the Cellular Protein RBP-Jκ. Immunobiology. 198(1-3). 299–306. 77 indexed citations
12.
Brielmeier, Markus, Josef Mautner, Gerhard Laux, & Wolfgang Hammerschmidt. (1996). The latent membrane protein 2 gene of Epstein--Barr virus is important for efficient B cell immortalization. Journal of General Virology. 77(11). 2807–2818. 43 indexed citations
13.
14.
Polack, Axel, Gerhard Laux, Manfred Hergenhahn, et al.. (1992). Short‐term assays for detection of conditional cancerogens I. Construction of DR‐CAT Raji cells and some of their characteristics as tester cells. International Journal of Cancer. 50(4). 611–616. 7 indexed citations
15.
Zimber‐Strobl, Ursula, Martin Falk, Gerhard Laux, et al.. (1990). Epstein-Barr Virus Terminal Protein Gene Transcription is Dependent on EBNA2 Expression and Provides Evidence for Viral Integration into the Host Genome. Current topics in microbiology and immunology. 166. 359–366. 4 indexed citations
16.
Laux, Gerhard, Anastassios Economou, & Paul J. Farrell. (1989). The Terminal Protein Gene 2 of Epstein-Barr Virus Is Transcribed from a Bidirectional Latent Promoter Region. Journal of General Virology. 70(11). 3079–3084. 65 indexed citations
17.
Laux, Gerhard, et al.. (1988). TPA-inducible Epstein-Barr virus genes in Raji cells and their regulation. Virology. 162(2). 503–507. 39 indexed citations
18.
Young, Lawrence S., Q. Y. Yao, Cliona M. Rooney, et al.. (1987). New Type B Isolates of Epstein--Barr Virus from Burkitt's Lymphoma and from Normal Individuals in Endemic Areas. Journal of General Virology. 68(11). 2853–2862. 171 indexed citations
19.
Lipp, Martin, et al.. (1987). Target sequences for cis-acting regulation within the dual promoter of the human c-myc gene.. Molecular and Cellular Biology. 7(4). 1393–1400. 63 indexed citations
20.

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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