William E. Diehl

2.6k total citations
24 papers, 814 citations indexed

About

William E. Diehl is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, William E. Diehl has authored 24 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Virology and 8 papers in Immunology. Recurrent topics in William E. Diehl's work include HIV Research and Treatment (8 papers), Virus-based gene therapy research (5 papers) and Viral Infections and Outbreaks Research (5 papers). William E. Diehl is often cited by papers focused on HIV Research and Treatment (8 papers), Virus-based gene therapy research (5 papers) and Viral Infections and Outbreaks Research (5 papers). William E. Diehl collaborates with scholars based in United States, Czechia and India. William E. Diehl's co-authors include Jeremy Luban, Sean Matthew McCauley, Kyusik Kim, Eric Hunter, Ann Dauphin, Leonid Yurkovetskiy, Welkin E. Johnson, Mehmet Hakan Guney, Eloísa Yuste and Ruchi M. Newman and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

William E. Diehl

23 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William E. Diehl United States 14 346 307 289 237 205 24 814
Lizhong Luo Canada 13 341 1.0× 251 0.8× 274 0.9× 166 0.7× 218 1.1× 24 710
Sean Matthew McCauley United States 10 457 1.3× 323 1.1× 281 1.0× 282 1.2× 179 0.9× 11 808
Sandie Munier France 17 283 0.8× 334 1.1× 409 1.4× 218 0.9× 528 2.6× 27 1.0k
Ottmar Herchenröder Germany 18 479 1.4× 307 1.0× 278 1.0× 127 0.5× 347 1.7× 39 1.0k
Greg Brennan United States 16 416 1.2× 147 0.5× 200 0.7× 216 0.9× 325 1.6× 26 758
Jason A. Wojcechowskyj United States 11 255 0.7× 168 0.5× 204 0.7× 258 1.1× 219 1.1× 12 697
Devon A. Gregory United States 10 603 1.7× 299 1.0× 260 0.9× 385 1.6× 500 2.4× 14 1.1k
T D Nelle United States 8 341 1.0× 227 0.7× 230 0.8× 113 0.5× 261 1.3× 9 701
Giada Mattiuzzo United Kingdom 18 230 0.7× 399 1.3× 208 0.7× 133 0.6× 232 1.1× 48 841
Adarsh Dharan United States 9 483 1.4× 287 0.9× 277 1.0× 128 0.5× 142 0.7× 11 670

Countries citing papers authored by William E. Diehl

Since Specialization
Citations

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

Fields of papers citing papers by William E. Diehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Diehl. 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 William E. Diehl. The network helps show where William E. Diehl may publish in the future.

Co-authorship network of co-authors of William E. Diehl

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Diehl. A scholar is included among the top collaborators of William E. Diehl 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 William E. Diehl. William E. Diehl 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.
Zadrozny, Kaneil K., William E. Diehl, Jeremy Luban, et al.. (2023). Purification and structure of luminal domain C of human Niemann–Pick C1 protein. Acta Crystallographica Section F Structural Biology Communications. 79(2). 45–50. 2 indexed citations
2.
Diehl, William E., et al.. (2021). Influence of Different Glycoproteins and of the Virion Core on SERINC5 Antiviral Activity. Viruses. 13(7). 1279–1279. 19 indexed citations
3.
Das, Dibyendu Kumar, William E. Diehl, Natasha D. Durham, et al.. (2020). Conformational changes in the Ebola virus membrane fusion machine induced by pH, Ca2+, and receptor binding. PLoS Biology. 18(2). e3000626–e3000626. 63 indexed citations
4.
5.
Kim, Kyusik, Ann Dauphin, Sean Matthew McCauley, et al.. (2019). Cyclophilin A protects HIV-1 from restriction by human TRIM5α. Nature Microbiology. 4(12). 2044–2051. 93 indexed citations
6.
McCauley, Sean Matthew, Kyusik Kim, Anetta Nowosielska, et al.. (2018). Intron-containing RNA from the HIV-1 provirus activates type I interferon and inflammatory cytokines. Nature Communications. 9(1). 5305–5305. 50 indexed citations
7.
Donnard, Elisa, Pranitha Vangala, Shaked Afik, et al.. (2018). Comparative Analysis of Immune Cells Reveals a Conserved Regulatory Lexicon. Cell Systems. 6(3). 381–394.e7. 14 indexed citations
8.
Yurkovetskiy, Leonid, Mehmet Hakan Guney, Kyusik Kim, et al.. (2018). Primate immunodeficiency virus proteins Vpx and Vpr counteract transcriptional repression of proviruses by the HUSH complex. Nature Microbiology. 3(12). 1354–1361. 90 indexed citations
9.
Diehl, William E., Aaron E. Lin, Nathan D. Grubaugh, et al.. (2016). Ebola Virus Glycoprotein with Increased Infectivity Dominated the 2013–2016 Epidemic. Cell. 167(4). 1088–1098.e6. 124 indexed citations
10.
Diehl, William E., et al.. (2016). Tracking interspecies transmission and long-term evolution of an ancient retrovirus using the genomes of modern mammals. eLife. 5. e12704–e12704. 25 indexed citations
11.
Ulbrich, Pavel, et al.. (2013). Engineered retroviral virus-like particles for receptor targeting. Archives of Virology. 159(4). 677–688. 4 indexed citations
12.
Diehl, William E., Welkin E. Johnson, & Eric Hunter. (2013). Elevated Rate of Fixation of Endogenous Retroviral Elements in Haplorhini TRIM5 and TRIM22 Genomic Sequences: Impact on Transcriptional Regulation. PLoS ONE. 8(3). e58532–e58532. 7 indexed citations
13.
14.
Ulbrich, Pavel, et al.. (2011). Purification of proteins containing zinc finger domains using immobilized metal ion affinity chromatography. Protein Expression and Purification. 79(1). 88–95. 24 indexed citations
15.
Bhosle, Sushma M., Suganthi Suppiah, Ross J. Molinaro, et al.. (2010). Evaluation of Cellular Determinants Required for In Vitro Xenotropic Murine Leukemia Virus-Related Virus Entry into Human Prostate Cancer and Noncancerous Cells. Journal of Virology. 84(13). 6288–6296. 11 indexed citations
16.
Diehl, William E., et al.. (2008). Identification of Postentry Restrictions to Mason-Pfizer Monkey Virus Infection in New World Monkey Cells. Journal of Virology. 82(22). 11140–11151. 27 indexed citations
17.
Pluta, Krzysztof Dariusz, William E. Diehl, Xian‐Yang Zhang, et al.. (2007). Lentiviral vectors encoding tetracycline-dependent repressors and transactivators for reversible knockdown of gene expression: a comparative study. BMC Biotechnology. 7(1). 41–41. 25 indexed citations
18.
Apkarian, Robert P., et al.. (2007). Basic Residues in the Mason-Pfizer Monkey Virus Gag Matrix Domain Regulate Intracellular Trafficking and Capsid-Membrane Interactions. Journal of Virology. 81(17). 8977–8988. 53 indexed citations
19.
Clouse, Robert G. & William E. Diehl. (1984). Wealth & poverty : four Christian views of economics.
20.
Diehl, William E.. (1982). Thank God, it's Monday!. Fortress Press eBooks. 9 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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