Scott A. Tenenbaum

8.0k total citations · 1 hit paper
62 papers, 4.1k citations indexed

About

Scott A. Tenenbaum is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Scott A. Tenenbaum has authored 62 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Scott A. Tenenbaum's work include RNA Research and Splicing (35 papers), RNA and protein synthesis mechanisms (31 papers) and RNA modifications and cancer (24 papers). Scott A. Tenenbaum is often cited by papers focused on RNA Research and Splicing (35 papers), RNA and protein synthesis mechanisms (31 papers) and RNA modifications and cancer (24 papers). Scott A. Tenenbaum collaborates with scholars based in United States, Canada and France. Scott A. Tenenbaum's co-authors include Jack D. Keene, Craig C. Carson, Patrick J. Lager, Robert B. Darnell, Jennifer C. Darnell, Keith D. Wilkinson, Victoria Brown, William T. O'Donnell, Stephanie Ceman and Peng Jin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Scott A. Tenenbaum

62 papers receiving 4.1k citations

Hit Papers

Microarray Identification of FMRP-Associated Brain mRNAs ... 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott A. Tenenbaum United States 26 3.3k 783 518 267 252 62 4.1k
Eric Rappaport United States 37 2.6k 0.8× 673 0.9× 343 0.7× 269 1.0× 202 0.8× 108 4.3k
Peggy S. Eis United States 19 2.4k 0.7× 1.1k 1.4× 984 1.9× 194 0.7× 145 0.6× 33 3.5k
Michelle L. Hastings United States 35 3.9k 1.2× 354 0.5× 1.2k 2.3× 177 0.7× 151 0.6× 65 4.8k
Richard J. Gibbons United Kingdom 42 5.3k 1.6× 2.5k 3.2× 530 1.0× 321 1.2× 176 0.7× 104 6.9k
Naoyuki Fujita Japan 29 2.6k 0.8× 732 0.9× 257 0.5× 359 1.3× 91 0.4× 98 3.7k
Bill H. Chang United States 28 1.9k 0.6× 332 0.4× 424 0.8× 330 1.2× 95 0.4× 76 3.2k
Veronica J. Buckle United Kingdom 47 4.6k 1.4× 2.1k 2.7× 476 0.9× 251 0.9× 156 0.6× 91 6.5k
Rik Gijsbers Belgium 43 3.1k 0.9× 1.1k 1.4× 179 0.3× 485 1.8× 66 0.3× 147 5.3k
Jin He United States 27 2.3k 0.7× 473 0.6× 478 0.9× 481 1.8× 75 0.3× 67 3.3k

Countries citing papers authored by Scott A. Tenenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Tenenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott A. Tenenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Scott A. Tenenbaum. A scholar is included among the top collaborators of Scott A. Tenenbaum 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 Scott A. Tenenbaum. Scott A. Tenenbaum 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.
Wang, Yue, Susan K. Goderie, Francis Doyle, et al.. (2021). STAU2 binds a complex RNA cargo that changes temporally with production of diverse intermediate progenitor cells during mouse corticogenesis. Development. 148(15). 3 indexed citations
2.
Tokranova, Natalya, et al.. (2019). Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection. Scientific Reports. 9(1). 12356–12356. 120 indexed citations
3.
Stephenson, William, et al.. (2013). Combining Temperature and Force to Study Folding of Single RNA Molecules. Biophysical Journal. 104(2). 412a–412a. 1 indexed citations
4.
Stephenson, William, et al.. (2013). Combining temperature and force to study folding of an RNA hairpin. Physical Chemistry Chemical Physics. 16(3). 906–917. 24 indexed citations
5.
Li, Zhihua, Fatih Ozsolak, Sang Woo Kim, et al.. (2012). An in-depth map of polyadenylation sites in cancer. Nucleic Acids Research. 40(17). 8460–8471. 111 indexed citations
7.
George, Ajish & Scott A. Tenenbaum. (2010). Web-Based Tools for Studying RNA Structure and Function. Methods in molecular biology. 703. 67–86. 2 indexed citations
8.
Doyle, Francis, et al.. (2008). Bioinformatic Tools for Studying Post-Transcriptional Gene Regulation: The UAlbany TUTR Collection and Other Informatic Resources. Methods in molecular biology. 419. 39–52. 6 indexed citations
9.
Stoecklin, Georg, Scott A. Tenenbaum, Sridar V. Chittur, et al.. (2008). Genome-wide Analysis Identifies Interleukin-10 mRNA as Target of Tristetraprolin. Journal of Biological Chemistry. 283(17). 11689–11699. 207 indexed citations
10.
Baroni, Timothy E., Sridar V. Chittur, Ajish George, & Scott A. Tenenbaum. (2008). Advances in RIP-Chip Analysis: RNA-Binding Protein Immunoprecipitation-Microarray Profiling. Methods in molecular biology. 419. 93–108. 63 indexed citations
11.
George, Ajish & Scott A. Tenenbaum. (2008). Informatic Resources for Identifying and Annotating Structural RNA Motifs. Molecular Biotechnology. 41(2). 180–193. 5 indexed citations
12.
George, Ajish & Scott A. Tenenbaum. (2006). MicroRNA Modulation of RNA-Binding Protein Regulatory Elements. RNA Biology. 3(2). 57–59. 33 indexed citations
13.
Tenenbaum, Scott A. & Julio A. Aguirre‐Ghiso. (2005). Dephosphorylation Shows SR Proteins the Way Out. Molecular Cell. 20(4). 499–501. 14 indexed citations
14.
Tenenbaum, Scott A., Cindy A. Morris, Steve S. Alexander, et al.. (2005). Evidence of HIV exposure and transient seroreactivity in archived HIV-negative severe hemophiliac sera. Virology Journal. 2(1). 65–65. 9 indexed citations
15.
Penalva, Luiz O. F., Scott A. Tenenbaum, & Jack D. Keene. (2004). Gene Expression Analysis of Messenger RNP Complexes. Humana Press eBooks. 257. 125–134. 40 indexed citations
16.
Tenenbaum, Scott A., Craig C. Carson, Ulus Atasoy, & Jack D. Keene. (2003). Genome-wide regulatory analysis using en masse nuclear run-ons emRUNs and ribonomic profiling with autoimmune sera. Gene. 317(1-2). 79–87. 26 indexed citations
17.
Intine, Robert V., et al.. (2003). Differential Phosphorylation and Subcellular Localization of La RNPs Associated with Precursor tRNAs and Translation-Related mRNAs. Molecular Cell. 12(5). 1301–1307. 94 indexed citations
18.
Edlavitch, Stanley A., Steven H. Lamm, Warren D. Blackburn, et al.. (1997). Antipolymer antibodies, silicone breast implants, and fibromyalgia (multiple letters) [9]. The Lancet. 349(9059). 1170–1173. 1 indexed citations
19.
Tenenbaum, Scott A., Janet C. Rice, Luis R. Espinoza, et al.. (1997). Use of antipolymer antibody assay in recipients of silicone breast implants. The Lancet. 349(9050). 449–454. 39 indexed citations
20.
Jaspan, Jonathan B., Hong Luo, Bilal Ahmed, et al.. (1995). Evidence for a Retro Viral Trigger in Graves' Disease. Autoimmunity. 20(2). 135–142. 25 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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