Seth J. Goldenberg

2.2k total citations
16 papers, 1.8k citations indexed

About

Seth J. Goldenberg is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Seth J. Goldenberg has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Hematology. Recurrent topics in Seth J. Goldenberg's work include Ubiquitin and proteasome pathways (11 papers), Peptidase Inhibition and Analysis (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Seth J. Goldenberg is often cited by papers focused on Ubiquitin and proteasome pathways (11 papers), Peptidase Inhibition and Analysis (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Seth J. Goldenberg collaborates with scholars based in United States, Canada and United Kingdom. Seth J. Goldenberg's co-authors include Ning Zheng, Stéphane Angers, Randall T. Moon, Travis L. Biechele, Michael J. MacCoss, Benjamin Nicholson, Craig A. Leach, Michael R. Mattern, Chris J. Thorpe and Stuart D. Shumway and has published in prestigious journals such as Science, Cell and Nature Cell Biology.

In The Last Decade

Seth J. Goldenberg

16 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth J. Goldenberg United States 13 1.6k 503 208 207 174 16 1.8k
Dale S. Haines United States 25 1.2k 0.7× 541 1.1× 301 1.4× 102 0.5× 90 0.5× 45 1.4k
Younghoon Kee United States 21 1.6k 1.0× 405 0.8× 371 1.8× 221 1.1× 235 1.4× 35 1.8k
Irina Lassot France 15 1.3k 0.8× 296 0.6× 282 1.4× 156 0.8× 97 0.6× 19 1.5k
Claire Chu United States 5 1.7k 1.1× 607 1.2× 416 2.0× 217 1.0× 165 0.9× 10 1.9k
Yasuhiko Takahashi Japan 13 1.7k 1.1× 853 1.7× 217 1.0× 96 0.5× 218 1.3× 32 2.2k
Gretchen Poortinga Australia 18 1.7k 1.1× 336 0.7× 127 0.6× 77 0.4× 149 0.9× 31 2.0k
Ellen Freed United States 12 1.5k 0.9× 659 1.3× 543 2.6× 176 0.9× 246 1.4× 14 2.1k
Karen Ventii United States 4 1.4k 0.9× 491 1.0× 241 1.2× 263 1.3× 170 1.0× 7 1.6k
Amanda S. Coutts United Kingdom 23 1.1k 0.7× 451 0.9× 272 1.3× 112 0.5× 310 1.8× 44 1.6k
Vincenzo D’Angiolella United Kingdom 20 1.5k 0.9× 557 1.1× 476 2.3× 140 0.7× 167 1.0× 32 1.7k

Countries citing papers authored by Seth J. Goldenberg

Since Specialization
Citations

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

Fields of papers citing papers by Seth J. Goldenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seth J. Goldenberg

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

All Works

16 of 16 papers shown
1.
Goldenberg, Seth J., et al.. (2018). A real-world perspective: Building and executing an integrated customer engagement roadmap that bridges the gaps in traditional medical device development processes. Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing. 1506196547–1506196547. 4 indexed citations
2.
Xolalpa, Wendy, Valérie Lang, Fabienne Aillet, et al.. (2013). Analysis of SUMOylated proteins using SUMO-traps. Scientific Reports. 3(1). 1690–1690. 31 indexed citations
3.
Weinstock, Joseph, Jian Wu, Ping Cao, et al.. (2012). Selective Dual Inhibitors of the Cancer-Related Deubiquitylating Proteases USP7 and USP47. ACS Medicinal Chemistry Letters. 3(10). 789–792. 153 indexed citations
4.
Altun, Mikael, Holger Kramer, Lianne I. Willems, et al.. (2011). Activity-Based Chemical Proteomics Accelerates Inhibitor Development for Deubiquitylating Enzymes. Chemistry & Biology. 18(11). 1401–1412. 310 indexed citations
5.
Lacroix, Céline, Syed Mukhtar Ahmed, Seth J. Goldenberg, et al.. (2011). The Ubiquitin-Specific Protease USP34 Regulates Axin Stability and Wnt/β-Catenin Signaling. Molecular and Cellular Biology. 31(10). 2053–2065. 109 indexed citations
6.
Tian, Xufan, Raymond J. Peroutka, Seth J. Goldenberg, et al.. (2010). Characterization of Selective Ubiquitin and Ubiquitin-Like Protease Inhibitors Using a Fluorescence-Based Multiplex Assay Format. Assay and Drug Development Technologies. 9(2). 165–173. 67 indexed citations
7.
Goldenberg, Seth J., Jeffrey G. Marblestone, Michael R. Mattern, & Benjamin Nicholson. (2010). Strategies for the identification of ubiquitin ligase inhibitors. Biochemical Society Transactions. 38(1). 132–136. 27 indexed citations
8.
Cao, Ping, Seth J. Goldenberg, Craig A. Leach, et al.. (2009). Abstract C94: Deubiquitylases as novel anticancer targets: Discovery and development of novel USP7 inhibitors. Molecular Cancer Therapeutics. 8(12_Supplement). C94–C94. 1 indexed citations
9.
Nicholson, Benjamin, Craig A. Leach, Seth J. Goldenberg, et al.. (2008). Characterization of ubiquitin and ubiquitin‐like‐protein isopeptidase activities. Protein Science. 17(6). 1035–1043. 115 indexed citations
10.
Goldenberg, Seth J., et al.. (2008). Strategies for the identification of novel inhibitors of deubiquitinating enzymes. Biochemical Society Transactions. 36(5). 828–832. 33 indexed citations
11.
Major, Michael B., Nathan D. Camp, Jason D. Berndt, et al.. (2007). Wilms Tumor Suppressor WTX Negatively Regulates WNT/ß-Catenin Signaling. Science. 316(5827). 1043–1046. 309 indexed citations
12.
Angers, Stéphane, Chris J. Thorpe, Travis L. Biechele, et al.. (2006). The KLHL12–Cullin-3 ubiquitin ligase negatively regulates the Wnt–β-catenin pathway by targeting Dishevelled for degradation. Nature Cell Biology. 8(4). 348–357. 300 indexed citations
13.
Soslau, Gerald, Seth J. Goldenberg, Reiner Class, & Bradford A. Jameson. (2004). Differential activation and inhibition of human platelet thrombin receptors by structurally distinct α-, β- and γ-thrombin. Platelets. 15(3). 155–166. 28 indexed citations
14.
Goldenberg, Seth J., Stuart D. Shumway, K.C. Garbutt, et al.. (2004). Structure of the Cand1-Cul1-Roc1 Complex Reveals Regulatory Mechanisms for the Assembly of the Multisubunit Cullin-Dependent Ubiquitin Ligases. Cell. 119(4). 517–528. 228 indexed citations
15.
Soslau, Gerald, Bryan P. Wallace, Seth J. Goldenberg, et al.. (2004). Comparison of functional aspects of the coagulation cascade in human and sea turtle plasmas. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 138(4). 399–406. 26 indexed citations
16.
Goldenberg, Seth J., et al.. (2001). A Micromethod to Measure Platelet Aggregation and ATP Release by Impedance. Thrombosis Research. 103(1). 57–61. 10 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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