Joseph B. Rayman

2.9k total citations · 1 hit paper
17 papers, 1.6k citations indexed

About

Joseph B. Rayman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Joseph B. Rayman has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Joseph B. Rayman's work include Prion Diseases and Protein Misfolding (6 papers), RNA Research and Splicing (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Joseph B. Rayman is often cited by papers focused on Prion Diseases and Protein Misfolding (6 papers), RNA Research and Splicing (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Joseph B. Rayman collaborates with scholars based in United States, Netherlands and Sweden. Joseph B. Rayman's co-authors include Brian David Dynlacht, Yasuhiko Takahashi, Eric R. Kandel, Arun Asok, Félix Leroy, Vahan B. Indjeian, Steven Catchpole, Roger J. Watson, Hein te Riele and Jan‐Hermen Dannenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Molecular Cell.

In The Last Decade

Joseph B. Rayman

17 papers receiving 1.6k citations

Hit Papers

Analysis of promoter binding by the E2F and pRB families ... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph B. Rayman United States 15 1.1k 493 188 177 153 17 1.6k
Zhisong He China 22 1.9k 1.7× 170 0.3× 149 0.8× 108 0.6× 190 1.2× 63 2.4k
Aurélie Ernst Germany 15 908 0.8× 277 0.6× 377 2.0× 90 0.5× 148 1.0× 28 1.8k
Nerina Gnesutta Italy 18 1.6k 1.5× 196 0.4× 292 1.6× 99 0.6× 221 1.4× 33 2.2k
Alexander Fleischmann United States 19 552 0.5× 217 0.4× 722 3.8× 281 1.6× 104 0.7× 34 1.8k
Lukasz Swiech Poland 14 1.3k 1.2× 150 0.3× 389 2.1× 89 0.5× 319 2.1× 17 1.9k
Sovann Kaing United States 13 946 0.8× 450 0.9× 311 1.7× 77 0.4× 167 1.1× 14 2.1k
Gratien G. Préfontaine Canada 18 1.8k 1.6× 214 0.4× 119 0.6× 65 0.4× 625 4.1× 24 2.3k
Manja Muijtjens United States 9 1.3k 1.1× 621 1.3× 467 2.5× 163 0.9× 103 0.7× 9 3.1k
Ileana Zucchi Italy 25 982 0.9× 342 0.7× 253 1.3× 28 0.2× 345 2.3× 67 1.7k
Daisuke Yamada Japan 22 1.4k 1.3× 556 1.1× 104 0.6× 43 0.2× 295 1.9× 65 2.2k

Countries citing papers authored by Joseph B. Rayman

Since Specialization
Citations

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

Fields of papers citing papers by Joseph B. Rayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph B. Rayman. 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 Joseph B. Rayman. The network helps show where Joseph B. Rayman may publish in the future.

Co-authorship network of co-authors of Joseph B. Rayman

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

All Works

17 of 17 papers shown
1.
Rayman, Joseph B.. (2023). Focusing on oligomeric tau as a therapeutic target in Alzheimer’s disease and other tauopathies. Expert Opinion on Therapeutic Targets. 27(4-5). 269–279. 6 indexed citations
2.
Fritzsching, Keith J., et al.. (2020). Micellar TIA1 with folded RNA binding domains as a model for reversible stress granule formation. Proceedings of the National Academy of Sciences. 117(50). 31832–31837. 15 indexed citations
3.
Rayman, Joseph B., et al.. (2019). Genetic Perturbation of TIA1 Reveals a Physiological Role in Fear Memory. Cell Reports. 26(11). 2970–2983.e4. 16 indexed citations
4.
Asok, Arun, Eric R. Kandel, & Joseph B. Rayman. (2019). The Neurobiology of Fear Generalization. Frontiers in Behavioral Neuroscience. 12. 329–329. 106 indexed citations
5.
Asok, Arun, et al.. (2019). Sex Differences in Remote Contextual Fear Generalization in Mice. Frontiers in Behavioral Neuroscience. 13. 56–56. 25 indexed citations
6.
Rayman, Joseph B., Philippe A. Melas, Martin Schalling, et al.. (2019). Single-nucleotide polymorphism in the human TIA1 gene interacts with stressful life events to predict the development of pathological anxiety symptoms in a Swedish population. Journal of Affective Disorders. 260. 597–603. 4 indexed citations
7.
Rayman, Joseph B., Kevin Karl, & Eric R. Kandel. (2018). TIA-1 Self-Multimerization, Phase Separation, and Recruitment into Stress Granules Are Dynamically Regulated by Zn2+. Cell Reports. 22(1). 59–71. 77 indexed citations
8.
Asok, Arun, Félix Leroy, Joseph B. Rayman, & Eric R. Kandel. (2018). Molecular Mechanisms of the Memory Trace. Trends in Neurosciences. 42(1). 14–22. 141 indexed citations
9.
Rayman, Joseph B. & Eric R. Kandel. (2016). Functional Prions in the Brain. Cold Spring Harbor Perspectives in Biology. 9(1). a023671–a023671. 30 indexed citations
10.
Rayman, Joseph B. & Eric R. Kandel. (2016). TIA-1 Is a Functional Prion-Like Protein. Cold Spring Harbor Perspectives in Biology. 9(5). a030718–a030718. 30 indexed citations
11.
Li, Xiang, Joseph B. Rayman, Eric R. Kandel, & Irina L. Derkatch. (2014). Functional Role of Tia1/Pub1 and Sup35 Prion Domains: Directing Protein Synthesis Machinery to the Tubulin Cytoskeleton. Molecular Cell. 55(2). 305–318. 67 indexed citations
12.
Jin, Iksung, et al.. (2012). Spontaneous transmitter release recruits postsynaptic mechanisms of long-term and intermediate-term facilitation in Aplysia. Proceedings of the National Academy of Sciences. 109(23). 9137–9142. 28 indexed citations
13.
Rayman, Joseph B., et al.. (2007). Oracle Data Warehousing and Business Intelligence Solutions. CERN Document Server (European Organization for Nuclear Research). 16(2). 82–6. 48 indexed citations
14.
Lee, Eunice Y., et al.. (2002). E2F4 loss suppresses tumorigenesis in Rb mutant mice. Cancer Cell. 2(6). 463–472. 97 indexed citations
15.
Rayman, Joseph B., Yasuhiko Takahashi, Vahan B. Indjeian, et al.. (2002). E2F mediates cell cycle-dependent transcriptional repression in vivo by recruitment of an HDAC1/mSin3B corepressor complex. Genes & Development. 16(8). 933–947. 240 indexed citations
16.
Takahashi, Yasuhiko, Joseph B. Rayman, & Brian David Dynlacht. (2000). Analysis of promoter binding by the E2F and pRB families in vivo: distinct E2F proteins mediate activation and repression. Genes & Development. 14(7). 804–816. 542 indexed citations breakdown →
17.
Magnuson, Victoria L., et al.. (1996). Substrate Nucleotide-Determined Non-Templated Addition of Adenine by Taq DNA Polymerase: Implications for PCR-Based Genotyping and Cloning. BioTechniques. 21(4). 700–709. 134 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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