Daniel P. Morse

1.1k citations
18 papers · 874 · h-index 9

Impact in

  • Aging top 5%
    • RNA regulation and disease
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery

Papers in

    • RNA and protein synthesis mechanisms 8
    • RNA regulation and disease 7
    • RNA Research and Splicing 6
    • CRISPR and Genetic Engineering 4
    • RNA modifications and cancer 3
    • Advanced biosensing and bioanalysis techniques 2
    • Bacterial Genetics and Biotechnology 6

Daniel P. Morse

16 papers receiving 858 citations

Peers

Daniel P. Morse
Comparison fields: 5 of 54
  • Aging 45
  • Molecular Biology 815
  • Cardiology and Cardiovascular Medicine 61
  • Cancer Research 34
  • Genetics 61
Replace Morgan Tucker with:
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Daniel P. Morse relative to Morgan Tucker United States Morgan Tucker's profile →
Citations per field
00.5×1.5×
Morgan Tucker · 1×
Citations per year

Countries citing papers authored by Daniel P. Morse

Since Specialization
Citations

This map shows the geographic impact of Daniel P. Morse'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. Morse 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. Morse more than expected).

Fields of papers citing papers by Daniel P. Morse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Daniel P. Morse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel P. Morse Line = papers co-authored together Daniel P. Morse links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2002184
2 2002181
3 2000123
4 1999118
5 199794
6 199180
7 200735
8 198314
9 199211
10 20048
11 19937
12 20087
13 19836
14 20183
15 20002
16 20171
17 20250
18 20250

About Daniel P. Morse

Daniel P. Morse is a scholar working on Molecular Biology, Genetics, Ecology, Physiology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 874 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA regulation and disease (7 papers), Bacterial Genetics and Biotechnology (6 papers), RNA Research and Splicing (6 papers), Bacteriophages and microbial interactions (4 papers), CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Aging (45 citations), Molecular Biology (815 citations), Cardiology and Cardiovascular Medicine (61 citations), Cancer Research (34 citations) and Genetics (61 citations). Daniel P. Morse has collaborated with scholars based in United States, Botswana and United Kingdom. Frequent co-authors include Brenda Bass, P. Joseph Aruscavage, Thomas M. Brodigan, Leath A. Tonkin, Michael Krause, Francis J. Schmidt, Susan E. Mango, Scott W. Knight, Michael F. Portereiko and Norman R. Pace. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Gene and Journal of Biotechnology.

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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