Daniel Reines

5.2k citations
62 papers · 4.4k indexed · 1 hit paper · h-index 36
Topics
RNA and protein synthesis mechanisms (31 papers)RNA Research and Splicing (28 papers)Genomics and Chromatin Dynamics (19 papers)
Partner nations
United StatesItalyFrance

In The Last Decade

Daniel Reines

62 papers receiving 4.3k citations

Hit Papers

FMR1 Protein: Conserved RNP Family Domains and Selective ...19932026200420151993200400600

Peers

Daniel Reines
Comparison fields: 5 of 103
  • Molecular Biology 4.0k
  • Genetics 1.3k
  • Cognitive Neuroscience 331
  • Plant Science 235
  • Cancer Research 210
Replace Shaun Webb with:
Shaun Webb United Kingdom
Charles A. Thomas United States
Ingrid Maurer-Fogy Austria
E.A. Nichols United States
Frédéric Chédin United States
Chikdu Shivalila United States
Martin C. Schmidt United States
Gary J. Latham United States
Stephen Rea Germany
Hiroaki Imataka Japan
Daniel Reines relative to Shaun Webb United Kingdom Shaun Webb's profile →
Citations per field
00.5×1.5×
Shaun Webb · 1×
Citations per year

Countries citing papers authored by Daniel Reines

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Reines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Reines

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Reines. A scholar is included among the top collaborators of Daniel Reines 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 Reines. Daniel Reines 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 4
2 13
3 20
4 64
5 137
6 54
7 82
8 177
9 247
10 120
11 43
12 23
13 85
14 11
15 89
16 31
17 47
18 39
19 48
20 91

About Daniel Reines

Daniel Reines is a scholar working on Molecular Biology, Genetics and Physiology, having authored 62 papers that have together received 4.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (31 papers), RNA Research and Splicing (28 papers) and Genomics and Chromatin Dynamics (19 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Genetics (1.3k citations) and Cognitive Neuroscience (331 citations). Daniel Reines has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Stephen T. Warren, Keith D. Wilkinson, Philip C. Hanawalt, Brian A. Donahue, Fuping Zhang, Joan Conaway, Bradford Coffee, C M Kane, Michael J. Chamberlin and Wade H. Powell. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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