Peter A. Beal

6.7k citations
117 papers · 5.4k indexed · 3 hit papers · h-index 38
Topics
RNA and protein synthesis mechanisms (65 papers)RNA regulation and disease (64 papers)RNA Research and Splicing (53 papers)
Partner nations
United StatesCanadaJapan

In The Last Decade

Peter A. Beal

115 papers receiving 5.3k citations

Hit Papers

Control of p70 S6 kinase by kinase activity of FRAP in vivo1995202620052015199520172020200400600

Peers

Peter A. Beal
Comparison fields: 5 of 135
  • Molecular Biology 4.8k
  • Organic Chemistry 407
  • Cancer Research 387
  • Immunology 324
  • Cardiology and Cardiovascular Medicine 283
Replace Jeffrey M. Besterman with:
Jeffrey M. Besterman United States
Robert T. Nolte United States
John L. Nitiss United States
Caroline A. Austin United Kingdom
W. Tempel Canada
Ennio Prosperi Italy
Daniel A. Harki United States
Joseph Krebs United States
Jon Read United Kingdom
Peter A. Beal relative to Jeffrey M. Besterman United States Jeffrey M. Besterman's profile →
Citations per field
00.5×4.3×
Jeffrey M. Besterman · 1×
Citations per year

Countries citing papers authored by Peter A. Beal

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Beal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter A. Beal

This figure shows the co-authorship network connecting the top 25 collaborators of Peter A. Beal. A scholar is included among the top collaborators of Peter A. Beal 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 Peter A. Beal. Peter A. Beal 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 6
3
DNA capture by a CRISPR-Cas9–guided adenine base editorbreakdown →
130
4 13
5 3
6 6
7 21
8
Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformaticsbreakdown →
412
9 36
10 27
11 22
12 15
13 12
14 5
15 7
16 65
17 16
18 16
19 18
20 50

About Peter A. Beal

Peter A. Beal is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Business and International Management, having authored 117 papers that have together received 5.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (65 papers), RNA regulation and disease (64 papers) and RNA Research and Splicing (53 papers). The work is most often cited by research in Molecular Biology (4.8k citations), Cancer Research (387 citations) and Physiology (73 citations). Peter A. Beal has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Peter B. Dervan, Stuart L. Schreiber, Yuxuan Zheng, Eduardo A. Véliz, Curtis T. Keith, Eric J. Brown, Jie Chen, Olen M. Stephens, Andrew J. Fisher and Coby B. Carlson. Their work appears in journals such as Nature, Science and Cell.

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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