Clayton A. White

703 total citations
10 papers, 561 citations indexed

About

Clayton A. White is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Clayton A. White has authored 10 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Clayton A. White's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Clayton A. White is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Clayton A. White collaborates with scholars based in United States, Mexico and Germany. Clayton A. White's co-authors include Paolo Casali, Hong Zan, Egest J. Pone, Guideng Li, Zhenming Xu, Thach Mai, Jinsong Zhang, Ahmed A. Al‐Qahtani, Lisa M. Thomas and Zenggang Li and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Clayton A. White

10 papers receiving 558 citations

Peers

Countries citing papers authored by Clayton A. White

Since Specialization

Citations

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

Fields of papers citing papers by Clayton A. White

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clayton A. White. 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 Clayton A. White. The network helps show where Clayton A. White may publish in the future.

Co-authorship network of co-authors of Clayton A. White

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Histone Deacetylase Inhibitors Upregulate B Cell microRNAs That Silence AID and Blimp-1 Expression for Epigenetic Modulation of Antibody and Autoantibody Responses 2014 ·The Journal of Immunology ·Clayton A. White, Egest J. Pone, (unknown), (unknown), (unknown), Guideng Li, Hong Zan, Paolo Casali	96
2	Scaffold Functions of 14-3-3 Adaptors in B Cell Immunoglobulin Class Switch DNA Recombination 2013 ·PLoS ONE ·(unknown), Lisa M. Thomas, Clayton A. White, Guideng Li, Egest J. Pone, Zhenming Xu, Paolo Casali	18
3	TSPAN33 is a novel marker of activated and malignant B cells 2013 ·Clinical Immunology ·(unknown), Peter Hevezi, Felipe Vences‐Catalán, José Luis Maravillas‐Montero, Clayton A. White, Paolo Casali, Luis Llorente, Juan Jakez-Ocampo, Guadalupe Lima, (unknown), Juan Pablo Isaza Gutiérrez, Leopoldo Santos‐Argumedo, Albert Zlotnik	23
4	Combinatorial H3K9acS10ph Histone Modification in IgH Locus S Regions Targets 14-3-3 Adaptors and AID to Specify Antibody Class-Switch DNA Recombination 2013 ·Cell Reports ·Guideng Li, Clayton A. White, (unknown), Egest J. Pone, (unknown), (unknown), Hong Zan, Zhenming Xu, Paolo Casali	40
5	BCR-signalling synergizes with TLR-signalling for induction of AID and immunoglobulin class-switching through the non-canonical NF-κB pathway 2012 ·Nature Communications ·Egest J. Pone, Jinsong Zhang, Thach Mai, Clayton A. White, Guideng Li, (unknown), (unknown), Ahmed A. Al‐Qahtani, Hong Zan, Zhenming Xu, Paolo Casali	185
6	Rev1 Recruits Ung to Switch Regions and Enhances dU Glycosylation for Immunoglobulin Class Switch DNA Recombination 2012 ·Cell Reports ·Hong Zan, Clayton A. White, Lisa M. Thomas, Thach Mai, Guideng Li, Zhenming Xu, Jinsong Zhang, Paolo Casali	37
7	AID dysregulation in lupus-prone MRL/Fas^lpr/lprmice increases class switch DNA recombination and promotes interchromosomalc-Myc/IgHloci translocations: Modulation by HoxC4 2011 ·Autoimmunity ·Clayton A. White, J. Seth Hawkins, Egest J. Pone, (unknown), Ahmed A. Al‐Qahtani, Thach Mai, Hong Zan, Paolo Casali	31
8	Endonuclease G plays a role in immunoglobulin class switch DNA recombination by introducing double-strand breaks in switch regions 2010 ·Molecular Immunology ·Hong Zan, Jinsong Zhang, (unknown), Egest J. Pone, Clayton A. White, (unknown), Leman Yel, Thach Mai, Paolo Casali	17
9	14-3-3 adaptor proteins recruit AID to 5′-AGCT-3′–rich switch regions for class switch recombination 2010 ·Nature Structural & Molecular Biology ·Zhenming Xu, Zsolt Zoltán Fülöp, Guikai Wu, Egest J. Pone, Jinsong Zhang, Thach Mai, Lisa M. Thomas, Ahmed A. Al‐Qahtani, Clayton A. White, Seok‐Rae Park, Petra Steinacker, Zenggang Li, John R. Yates, Bruce J. Herron, Markus Otto, Hong Zan, Haian Fu, Paolo Casali	111
10	Pharmacokinetic analysis of serum concentrations of the chimeric anti-CD20 antibody IDEC-C2B8 in patients with relapsed B cell lymphoma 1995 ·David Bodkin, DG Maloney, James A. Neidhart, Clayton A. White, (unknown), J. Rosenberg, (unknown)	3

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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