Mark E. Dalphin

1.4k citations
15 papers · 693 indexed · h-index 12

Impact in

    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
  • Urology top 10%

Papers in

    • RNA and protein synthesis mechanisms 12
    • Genomics and Phylogenetic Studies 4
    • RNA Research and Splicing 4
    • Machine Learning in Bioinformatics 3
    • RNA modifications and cancer 3
    • Protein purification and stability 1

Mark E. Dalphin

15 papers receiving 682 citations

Peers

Mark E. Dalphin
Comparison fields: 5 of 67
  • Molecular Biology 532
  • Urology 29
  • Genetics 97
  • Surgery 124
  • Endocrinology 13
Replace Nathalie H. Gendron with:
Nathalie H. Gendron Canada
Serge Durviaux Belgium
Chih-Fong Chou Singapore
M D Dabeva Bulgaria
Thomas J. Graddis United States
Takeo Tatsuta Japan
Peter Maly Germany
Polly E. Mattila United States
Natalia Comella United States
J Harding United States
Mark E. Dalphin relative to Nathalie H. Gendron Canada Nathalie H. Gendron's profile →
Citations per field
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Nathalie H. Gendron · 1×
Citations per year

Countries citing papers authored by Mark E. Dalphin

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Dalphin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Dalphin. 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 Mark E. Dalphin. The network helps show where Mark E. Dalphin may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark E. Dalphin, 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 Mark E. Dalphin Line = papers co-authored together Mark E. Dalphin links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1995229
2 2012126
3 199570
4 199365
5 199648
6 199923
7 199623
8 199422
9 199820
10 199317
11 199716
12 199613
13 20099
14 19967
15 19925

About Mark E. Dalphin

Mark E. Dalphin is a scholar working on Endocrinology, Molecular Biology, Genetics, Microbiology and Urology, having authored 15 papers that have together received 693 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Bacterial Genetics and Biotechnology (5 papers), Genomics and Phylogenetic Studies (4 papers), RNA Research and Splicing (4 papers), Machine Learning in Bioinformatics (3 papers), RNA modifications and cancer (3 papers), Bacteriophages and microbial interactions (2 papers) and Protein purification and stability (1 paper). The work is most often cited by research in Molecular Biology (532 citations), Urology (29 citations), Genetics (97 citations), Surgery (124 citations) and Endocrinology (13 citations). Mark E. Dalphin has collaborated with scholars based in New Zealand, United States and France. Frequent co-authors include Warren P. Tate, Chris M. Brown, Kim K. McCaughan, M J Berry, Peter A. Stockwell, Sally A. Mannering, Elizabeth S. Poole, Louise L. Major, Daniel N. Wilson and Justin Harvey. Their work appears in journals such as Nucleic Acids Research, The EMBO Journal, Biochemistry and Cell Biology, Biochimie and Journal of Bacteriology.

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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