Paul J. Lehner

26.1k total citations · 2 hit papers
219 papers, 12.4k citations indexed

About

Paul J. Lehner is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Paul J. Lehner has authored 219 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 75 papers in Immunology and 45 papers in Epidemiology. Recurrent topics in Paul J. Lehner's work include Immune Cell Function and Interaction (39 papers), Ubiquitin and proteasome pathways (30 papers) and Cytomegalovirus and herpesvirus research (30 papers). Paul J. Lehner is often cited by papers focused on Immune Cell Function and Interaction (39 papers), Ubiquitin and proteasome pathways (30 papers) and Cytomegalovirus and herpesvirus research (30 papers). Paul J. Lehner collaborates with scholars based in United Kingdom, United States and France. Paul J. Lehner's co-authors include Peter Cresswell, Peter Cresswell, Paul A. MacAry, Robin Antrobus, Thomas A. Spies, Nicholas J. Matheson, Bodo Ortmann, Bhanu Sadasivan, Richard T. Timms and Jessica M. Boname and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Paul J. Lehner

206 papers receiving 12.2k citations

Hit Papers

Roles for Calreticulin and a Novel Glycoprotein, Tapasin,... 1996 2026 2006 2016 1996 2024 100 200 300 400 500

Peers

Paul J. Lehner
Robert B. Sim United Kingdom
John I. Bell United Kingdom
Wei Li China
Sudhir Agrawal United States
Dong‐Yan Jin Hong Kong
Thomas Graf Germany
Martin Scott United States
Paul J. Farrell United Kingdom
Robert B. Sim United Kingdom
Paul J. Lehner
Citations per year, relative to Paul J. Lehner Paul J. Lehner (= 1×) peers Robert B. Sim

Countries citing papers authored by Paul J. Lehner

Since Specialization
Citations

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

Fields of papers citing papers by Paul J. Lehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Lehner. 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 Paul J. Lehner. The network helps show where Paul J. Lehner may publish in the future.

Co-authorship network of co-authors of Paul J. Lehner

This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Lehner. A scholar is included among the top collaborators of Paul J. Lehner 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 Paul J. Lehner. Paul J. Lehner 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.
Bloor, Stuart, et al.. (2024). RNA binding by Periphilin plays an essential role in initiating silencing by the HUSH complex. Nucleic Acids Research. 53(2). 2 indexed citations
2.
Krishna, Benjamin A., Eleanor Y. Lim, Sarah Jackson, et al.. (2024). Spontaneous, persistent, T cell–dependent IFN-γ release in patients who progress to Long Covid. Science Advances. 10(8). eadi9379–eadi9379. 41 indexed citations breakdown →
3.
Porter, Linsey, Thomas W. M. Crozier, Edward JD Greenwood, et al.. (2023). Cigarette smoke preferentially induces full length ACE2 expression in differentiated primary human airway cultures but does not alter the efficiency of cellular SARS-CoV-2 infection. Heliyon. 9(3). e14383–e14383. 1 indexed citations
4.
Arnaiz, Esther, Brian M. Ortmann, James A. West, et al.. (2023). A HIF independent oxygen-sensitive pathway for controlling cholesterol synthesis. Nature Communications. 14(1). 4816–4816. 14 indexed citations
5.
Williams, Thomas, Maria Colzani, Robyn Macrae, et al.. (2021). Human embryonic stem cell-derived cardiomyocyte platform screens inhibitors of SARS-CoV-2 infection. Communications Biology. 4(1). 926–926. 11 indexed citations
6.
Park, Eugene, A. P. Moore, Antonella Santoro, et al.. (2020). Stromal cell protein kinase C-β inhibition enhances chemosensitivity in B cell malignancies and overcomes drug resistance. Science Translational Medicine. 12(526). 22 indexed citations
7.
Prigozhin, Daniil M., Christopher H. Douse, Anna Albecka, et al.. (2020). Periphilin self-association underpins epigenetic silencing by the HUSH complex. Nucleic Acids Research. 48(18). 10313–10328. 22 indexed citations
8.
Douse, Christopher H., Iva A. Tchasovnikarova, Richard T. Timms, et al.. (2020). TASOR is a pseudo-PARP that directs HUSH complex assembly and epigenetic transposon control. Nature Communications. 11(1). 4940–4940. 58 indexed citations
9.
Caller, Laura, Colin Davies, Robin Antrobus, et al.. (2019). Temporal Proteomic Analysis of BK Polyomavirus Infection Reveals Virus-Induced G 2 Arrest and Highly Effective Evasion of Innate Immune Sensing. Journal of Virology. 93(16). 25 indexed citations
11.
Timms, Richard T., Iva A. Tchasovnikarova, & Paul J. Lehner. (2018). Differential viral accessibility (DIVA) identifies alterations in chromatin architecture through large-scale mapping of lentiviral integration sites. Nature Protocols. 14(1). 153–170. 9 indexed citations
12.
Fielding, Ceri A., Michael P. Weekes, Luís Nobre, et al.. (2017). Control of immune ligands by members of a cytomegalovirus gene expansion suppresses natural killer cell activation. eLife. 6. 56 indexed citations
13.
Timms, Richard T., Sam A. Menzies, Iva A. Tchasovnikarova, et al.. (2016). Genetic dissection of mammalian ERAD through comparative haploid and CRISPR forward genetic screens. Nature Communications. 7(1). 11786–11786. 53 indexed citations
14.
Tchasovnikarova, Iva A., Richard T. Timms, Nicholas J. Matheson, et al.. (2015). Epigenetic silencing by the HUSH complex mediates position-effect variegation in human cells. Science. 348(6242). 1481–1485. 225 indexed citations
15.
Lehner, Paul J.. (2015). Estimating the Accuracy of Automated Classification Systems Using Only Expert Ratings that are Less Accurate than the System. Journal of Modern Applied Statistical Methods. 14(1). 122–151.
16.
Boyle, Louise H., Clemens Hermann, Jessica M. Boname, et al.. (2013). Tapasin-related protein TAPBPR is an additional component of the MHC class I presentation pathway. Proceedings of the National Academy of Sciences. 110(9). 3465–3470. 92 indexed citations
17.
Walker, Brian A., Lawrence Hunt, Karsten Skjødt, et al.. (2011). The dominantly expressed class I molecule of the chicken MHC is explained by coevolution with the polymorphic peptide transporter (TAP) genes. Proceedings of the National Academy of Sciences. 108(20). 8396–8401. 69 indexed citations
18.
Stagg, Helen R., Mair Thomas, Emmanuel J. H. J. Wiertz, et al.. (2009). The TRC8 E3 ligase ubiquitinates MHC class I molecules before dislocation from the ER. The Journal of Cell Biology. 186(5). 685–692. 123 indexed citations
19.
Lehner, Paul J.. (2001). Session 01: Antigen processing. Immunology. 104(s1). 1–5. 2 indexed citations
20.
Lehner, Paul J., et al.. (1987). Cognitive impacts of the user interface. Ablex Publishing Corp. eBooks. 307–318. 6 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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