Brian J. Conti

2.2k total citations · 1 hit paper
16 papers, 1.8k citations indexed

About

Brian J. Conti is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Brian J. Conti has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Genetics. Recurrent topics in Brian J. Conti's work include RNA regulation and disease (3 papers), Immune Cell Function and Interaction (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Brian J. Conti is often cited by papers focused on RNA regulation and disease (3 papers), Immune Cell Function and Interaction (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Brian J. Conti collaborates with scholars based in United States, Canada and China. Brian J. Conti's co-authors include Jenny P.‐Y. Ting, Casey M. Clements, Richard McNally, Tak W. Mak, Jenny P.‐Y. Ting, Beckley K. Davis, William R. Skach, Zhongying Yang, Reid A. Roberts and Kristi L. Williams and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Brian J. Conti

16 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DJ-1, a cancer- and Parkinson's disease-associated protein, stabilizes the antioxidant transcriptional master regulator Nrf2

2006 679 citations Casey M. Clements, Richard McNally et al. Proceedings of the National Academy of Sciences profile →

Peers

Brian J. Conti

IMMUN

NEURO

GENET

Jenny Ghelfi Luxembourg

Hai‐Jie Yang China

Rocco J. Rotello United States

John McClary United States

René J. P. Musters Netherlands

Kristopher Clark United Kingdom

Yoichi Ishida Japan

Lydia Lartigue France

Frederique M. Poulet United States

Yi‐Ren Hong Taiwan

Jenny Ghelfi Luxembourg

Brian J. Conti

994 ×0.9

646 ×1.1

IMMUN

164 ×0.8

NEURO

68 ×0.5

GENET

68 ×0.5

Citations per year, relative to Brian J. Conti Brian J. Conti (= 1×) peers Jenny Ghelfi

Countries citing papers authored by Brian J. Conti

Since Specialization

Citations

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

Fields of papers citing papers by Brian J. Conti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian J. Conti

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

All Works

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16 of 16 papers shown

Conti, Brian J., et al.. (2022). Newborn Screen for X-Linked Adrenoleukodystrophy Using Flow Injection Tandem Mass Spectrometry in Negative Ion Mode. International Journal of Neonatal Screening. 8(2). 27–27. 2 indexed citations

Conti, Brian J., et al.. (2021). Mass spectrometric based detection of protein nucleotidylation in the RNA polymerase of SARS-CoV-2. Communications Chemistry. 4(1). 41–41. 10 indexed citations

Deng, Meng, Jason W. Tam, Lufei Wang, et al.. (2020). TRAF3IP3 negatively regulates cytosolic RNA induced anti-viral signaling by promoting TBK1 K48 ubiquitination. Nature Communications. 11(1). 2193–2193. 41 indexed citations

Conti, Brian J., Prasanna K. Devaraneni, Zhongying Yang, Larry L. David, & William R. Skach. (2015). Cotranslational Stabilization of Sec62/63 within the ER Sec61 Translocon Is Controlled by Distinct Substrate-Driven Translocation Events. Molecular Cell. 58(2). 269–283. 79 indexed citations

Conti, Brian J., Johannes Elferich, Zhongying Yang, Ujwal Shinde, & William R. Skach. (2014). Cotranslational folding inhibits translocation from within the ribosome–Sec61 translocon complex. Nature Structural & Molecular Biology. 21(3). 228–235. 21 indexed citations

Schneider, Monika, Albert Zimmermann, Reid A. Roberts, et al.. (2012). The innate immune sensor NLRC3 attenuates Toll-like receptor signaling via modification of the signaling adaptor TRAF6 and transcription factor NF-κB. Nature Immunology. 13(9). 823–831. 269 indexed citations

Devaraneni, Prasanna K., Brian J. Conti, Yoshihiro Matsumura, et al.. (2011). Stepwise Insertion and Inversion of a Type II Signal Anchor Sequence in the Ribosome-Sec61 Translocon Complex. Cell. 146(1). 134–147. 84 indexed citations

Davis, Beckley K., Reid A. Roberts, Max T. Huang, et al.. (2010). Cutting Edge: NLRC5-Dependent Activation of the Inflammasome. The Journal of Immunology. 186(3). 1333–1337. 185 indexed citations

Daniel, Colin J., Brian J. Conti, Arthur E. Johnson, & William R. Skach. (2008). Control of Translocation through the Sec61 Translocon by Nascent Polypeptide Structure within the Ribosome. Journal of Biological Chemistry. 283(30). 20864–20873. 31 indexed citations

10.

Miller, Peter J., Y. Pazy, Brian J. Conti, et al.. (2007). Single MHC Mutation Eliminates Enthalpy Associated with T Cell Receptor Binding. Journal of Molecular Biology. 373(2). 315–327. 22 indexed citations

11.

Livingstone, Laura R., Jinghua Zhang, Brian J. Conti, et al.. (2006). Criteria for effective design, construction, and gene knockdown by shRNA vectors. BMC Biotechnology. 6(1). 7–7. 103 indexed citations

12.

Bergstralh, Dan T., Brian J. Conti, Chris B. Moore, et al.. (2006). Global functional analysis of nucleophosmin in Taxol response, cancer, chromatin regulation, and ribosomal DNA transcription. Experimental Cell Research. 313(1). 65–76. 20 indexed citations

13.

Clements, Casey M., Richard McNally, Brian J. Conti, Tak W. Mak, & Jenny P.‐Y. Ting. (2006). DJ-1, a cancer- and Parkinson's disease-associated protein, stabilizes the antioxidant transcriptional master regulator Nrf2. Proceedings of the National Academy of Sciences. 103(41). 15091–15096. 679 indexed citations breakdown →

14.

Conti, Brian J., Beckley K. Davis, Jinghua Zhang, et al.. (2005). CATERPILLER 16.2 (CLR16.2), a Novel NBD/LRR Family Member That Negatively Regulates T Cell Function. Journal of Biological Chemistry. 280(18). 18375–18385. 119 indexed citations

15.

Greer, Susanna F., et al.. (2003). Enhancement of CIITA transcriptional function by ubiquitin. Nature Immunology. 4(11). 1074–1082. 87 indexed citations

16.

Harton, Jonathan A., William O’Connor, Brian J. Conti, Michael W. Linhoff, & Jenny P.‐Y. Ting. (2002). Leucine-rich repeats of the class II transactivator control its rate of nuclear accumulation. Human Immunology. 63(7). 588–601. 24 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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