Scott A. Tenenbaum

8.0k citations
62 papers · 4.1k indexed · 1 hit paper · h-index 26
Topics
RNA Research and Splicing (35 papers)RNA and protein synthesis mechanisms (31 papers)RNA modifications and cancer (24 papers)

In The Last Decade

Scott A. Tenenbaum

62 papers receiving 4.1k citations

Hit Papers

Microarray Identification of FMRP-Associated Brain mRNAs ...20012026200920172001250500750

Peers

Scott A. Tenenbaum
Comparison fields: 5 of 123
  • Molecular Biology 3.3k
  • Genetics 783
  • Cancer Research 518
  • Immunology 267
  • Cognitive Neuroscience 252
Replace Peggy S. Eis with:
Peggy S. Eis United States
Eric Rappaport United States
Richard J. Gibbons United Kingdom
Bill H. Chang United States
Naoyuki Fujita Japan
Michelle L. Hastings United States
Wim J.M. Van de Ven Belgium
Kirk B. Jensen United States
Ulrike A. Nuber Germany
Scott A. Tenenbaum relative to Peggy S. Eis United States Peggy S. Eis's profile →
Citations per field
00.5×
Peggy S. Eis · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 120
3 1
4 24
5 111
6 84
7 2
8 6
9 207
10 63
11 5
12 33
13 14
14 9
15 40
16 26
17 94
18
Antipolymer antibodies, silicone breast implants, and fibromyalgia (multiple letters) [9]
1
19 39
20 25

About Scott A. Tenenbaum

Scott A. Tenenbaum is a scholar working on Molecular Biology, Aging and Virology, having authored 62 papers that have together received 4.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (35 papers), RNA and protein synthesis mechanisms (31 papers) and RNA modifications and cancer (24 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Cancer Research (518 citations) and Genetics (783 citations). Scott A. Tenenbaum has collaborated with scholars based in United States, Canada and France. Frequent 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. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

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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