Eric J. Bennett

10.6k total citations · 4 hit papers
69 papers, 7.7k citations indexed

About

Eric J. Bennett is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Eric J. Bennett has authored 69 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 15 papers in Cell Biology and 14 papers in Oncology. Recurrent topics in Eric J. Bennett's work include Ubiquitin and proteasome pathways (31 papers), RNA modifications and cancer (16 papers) and RNA and protein synthesis mechanisms (14 papers). Eric J. Bennett is often cited by papers focused on Ubiquitin and proteasome pathways (31 papers), RNA modifications and cancer (16 papers) and RNA and protein synthesis mechanisms (14 papers). Eric J. Bennett collaborates with scholars based in United States, Canada and United Kingdom. Eric J. Bennett's co-authors include J. Wade Harper, Steven P. Gygi, Mathew E. Sowa, Ron R. Kopito, A. John Rush, Neil Bence, Jing Li, Raymond Mak, Ailan Guo and Anthony Possemato and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Eric J. Bennett

65 papers receiving 7.7k citations

Hit Papers

Systematic and Quantitative Assessment of the Ubiquitin-M... 2009 2026 2014 2020 2011 2009 2018 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric J. Bennett United States 36 6.4k 1.7k 1.4k 1.1k 684 69 7.7k
Corey E. Bakalarski United States 21 5.1k 0.8× 1.1k 0.6× 1.3k 0.9× 736 0.7× 471 0.7× 25 6.3k
Namrata D. Udeshi United States 37 7.7k 1.2× 3.0k 1.7× 1.1k 0.8× 483 0.5× 888 1.3× 81 10.0k
Michael F. Moran Canada 44 5.5k 0.9× 1.2k 0.7× 1.5k 1.1× 336 0.3× 816 1.2× 120 7.3k
Michael J. Matunis United States 46 10.3k 1.6× 997 0.6× 1.7k 1.2× 697 0.6× 842 1.2× 94 11.2k
Claudio A.P. Joazeiro United States 36 9.1k 1.4× 1.9k 1.1× 2.0k 1.4× 1.3k 1.2× 1.3k 1.9× 51 10.6k
Roman Körner Germany 38 4.3k 0.7× 2.4k 1.4× 673 0.5× 1.1k 1.0× 586 0.9× 61 7.1k
Linda Hicke United States 34 6.9k 1.1× 3.6k 2.1× 1.1k 0.8× 967 0.9× 596 0.9× 42 8.1k
Yasushi Saeki Japan 50 6.9k 1.1× 1.8k 1.0× 1.6k 1.1× 2.5k 2.3× 1.3k 1.9× 109 8.6k
Sean A. Beausoleil United States 25 7.3k 1.2× 1.5k 0.8× 1.0k 0.7× 813 0.8× 448 0.7× 30 9.0k
David Arnott United States 40 5.1k 0.8× 792 0.5× 1.2k 0.9× 557 0.5× 1.4k 2.0× 64 7.2k

Countries citing papers authored by Eric J. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric J. Bennett

This figure shows the co-authorship network connecting the top 25 collaborators of Eric J. Bennett. A scholar is included among the top collaborators of Eric J. Bennett 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 Eric J. Bennett. Eric J. Bennett 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.
Ge, Xiaoqin, et al.. (2025). Employing Expression-Matched Controls Enables High-Confidence Proximity-Based Interactome Classification. Molecular & Cellular Proteomics. 24(7). 101001–101001.
2.
Perelis, Mark, et al.. (2025). Human CCR4 deadenylase homolog Angel1 is a non-stop mRNA decay factor. RNA. 31(8). 1195–1205.
3.
Rhine, Kevin, Rachel Li, Katherine Rothamel, et al.. (2025). Neuronal aging causes mislocalization of splicing proteins and unchecked cellular stress. Nature Neuroscience. 28(6). 1174–1184. 4 indexed citations
4.
Lam, Kentson, Fanny Zhou, Mary Jean Sunshine, et al.. (2025). The proteostasis network is a therapeutic target in acute myeloid leukemia. Blood. 147(5). 557–572.
5.
Garshott, Danielle M., et al.. (2025). RNF10 and RIOK3 facilitate 40S ribosomal subunit degradation upon 60S biogenesis disruption or amino acid starvation. Cell Reports. 44(3). 115371–115371. 8 indexed citations
6.
Young, Lindsey N., Alice Sherrard, Joshua Hutchings, et al.. (2025). ExoSloNano: multimodal nanogold labels for identification of macromolecules in live cells and cryo-electron tomograms. Nature Methods. 23(1). 131–142.
7.
Narasimhan, Meena L., et al.. (2024). Ubiquitin-dependent translation control mechanisms: Degradation and beyond. Cell Reports. 43(12). 115050–115050. 4 indexed citations
8.
Nan, Qiong, Hong Liang, Le Liu, et al.. (2023). The OPAQUE1/DISCORDIA2 myosin XI is required for phragmoplast guidance during asymmetric cell division in maize. The Plant Cell. 35(7). 2678–2693. 10 indexed citations
9.
Ohno, Yusuke, et al.. (2022). An ERAD‐independent role for rhomboid pseudoprotease Dfm1 in mediating sphingolipid homeostasis. The EMBO Journal. 42(4). e112275–e112275. 8 indexed citations
10.
Nan, Qiong, Si Nian Char, Bing Yang, et al.. (2022). Polarly localized WPR proteins interact with PAN receptors and the actin cytoskeleton during maize stomatal development. The Plant Cell. 35(1). 469–487. 10 indexed citations
11.
Banta, Karl L., Xiaozheng Xu, Avantika S. Chitre, et al.. (2022). Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8+ T cell responses. Immunity. 55(3). 512–526.e9. 215 indexed citations breakdown →
12.
Sundaramoorthy, Elayanambi, et al.. (2021). Ribosome quality control activity potentiates vaccinia virus protein synthesis during infection. Journal of Cell Science. 134(8). 23 indexed citations
13.
Garshott, Danielle M., Heeseon An, Elayanambi Sundaramoorthy, et al.. (2021). iRQC, a surveillance pathway for 40S ribosomal quality control during mRNA translation initiation. Cell Reports. 36(9). 109642–109642. 52 indexed citations
14.
Sinha, Niladri K., Alban Ordureau, James A. Saba, et al.. (2020). EDF1 coordinates cellular responses to ribosome collisions. eLife. 9. 113 indexed citations
15.
Garcia, Daniel, Christina Baek, Mónica V. Estrada, et al.. (2018). USP11 Enhances TGFβ-Induced Epithelial–Mesenchymal Plasticity and Human Breast Cancer Metastasis. Molecular Cancer Research. 16(7). 1172–1184. 46 indexed citations
16.
Mak, Raymond, et al.. (2017). In vivo mapping of tissue- and subcellular-specific proteomes in Caenorhabditis elegans. Science Advances. 3(5). e1602426–e1602426. 48 indexed citations
17.
Scott, Daniel C., Julie K. Monda, Eric J. Bennett, J. Wade Harper, & Brenda A. Schulman. (2011). N-Terminal Acetylation Acts as an Avidity Enhancer Within an Interconnected Multiprotein Complex. Science. 334(6056). 674–678. 230 indexed citations
18.
Christianson, John C., James A. Olzmann, Thomas A. Shaler, et al.. (2011). Defining human ERAD networks through an integrative mapping strategy. Nature Cell Biology. 14(1). 93–105. 390 indexed citations
19.
Bennett, Eric J., Mirella Gonzalez‐Zulueta, Howard Schulman, et al.. (2006). [Cellular mechanisms of protein quality control].. PubMed. 46(11). 805–805. 1 indexed citations
20.
Bennett, Eric J., et al.. (2003). Catalytic Implications from the Drosophila Protein l-Isoaspartyl Methyltransferase Structure and Site-Directed Mutagenesis,. Biochemistry. 42(44). 12844–12853. 17 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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