Daniel P. Aalberts

791 citations
23 papers · 507 indexed · h-index 9
Topics
RNA and protein synthesis mechanisms (11 papers)RNA Research and Splicing (6 papers)RNA modifications and cancer (5 papers)

In The Last Decade

Daniel P. Aalberts

22 papers receiving 498 citations

Peers

Daniel P. Aalberts
Comparison fields: 5 of 69
  • Molecular Biology 418
  • Genetics 94
  • Ecology 55
  • Materials Chemistry 40
  • Biomedical Engineering 38
Replace Bernhard Angerer with:
Bernhard Angerer Germany
D M Crothers United States
Jonathan M. Fogg United States
Kristofer Gryte United Kingdom
Barbara H. Pheiffer United States
Thomas Wacker Germany
Hiroyuki Kabata Japan
Kenneth V. Mills United States
Paul E. Schavemaker Netherlands
E. DiCapua France
Daniel P. Aalberts relative to Bernhard Angerer Germany Bernhard Angerer's profile →
Citations per field
00.5×10×15×21×
Bernhard Angerer · 1×
Citations per year

Countries citing papers authored by Daniel P. Aalberts

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Aalberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Aalberts. 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 Daniel P. Aalberts. The network helps show where Daniel P. Aalberts may publish in the future.

Co-authorship network of co-authors of Daniel P. Aalberts

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Aalberts. A scholar is included among the top collaborators of Daniel P. Aalberts 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 Daniel P. Aalberts. Daniel P. Aalberts 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 0
2 13
3 286
4 4
5 15
6 1
7 22
8 2
9 47
10 3
11 4
12 46
13 4
14 2
15
A simple method for calculating the speed of sound in tight-binding models: application to the SSH model
2
16 8
17 6
18 12
19 9
20 6

About Daniel P. Aalberts

Daniel P. Aalberts is a scholar working on Fluid Flow and Transfer Processes, Physical and Theoretical Chemistry and Atomic and Molecular Physics, and Optics, having authored 23 papers that have together received 507 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA Research and Splicing (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (418 citations), Genetics (94 citations) and Ecology (55 citations). Daniel P. Aalberts has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include J.F. Hunt, Grégory Boël, J.K. Everett, Rong Xiao, Min Su, W. Nicholson Price, Thomas Acton, H. Neely, G.T. Montelione and Noël L. Goddard. Their work appears in journals such as Nature, Physical Review Letters and Nucleic Acids Research.

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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