Richard Mural

54.9k citations
73 papers · 2.5k indexed · h-index 26

Impact in

    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Machine Learning in Bioinformatics
    • Photosynthetic Processes and Mechanisms
    • Fractal and DNA sequence analysis
  • Genetics top 2%
    • Genetic Mapping and Diversity in Plants and Animals
    • Bacterial Genetics and Biotechnology

Papers in

    • Genomics and Phylogenetic Studies 24
    • Machine Learning in Bioinformatics 13
    • RNA and protein synthesis mechanisms 13
    • Photosynthetic Processes and Mechanisms 12
    • Fractal and DNA sequence analysis 6
    • Microbial Metabolic Engineering and Bioproduction 6

Richard Mural

72 papers receiving 2.4k citations

Peers

Richard Mural
Comparison fields: 5 of 142
  • Molecular Biology 1.9k
  • Genetics 716
  • Biochemistry 90
  • Cell Biology 181
  • Ecology 275
Replace Lawrence Weissbach with:
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Richard Mural relative to Lawrence Weissbach United States Lawrence Weissbach's profile →
Citations per field
00.5×1.6×
Lawrence Weissbach · 1×
Citations per year

Countries citing papers authored by Richard Mural

Since Specialization
Citations

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

Fields of papers citing papers by Richard Mural

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201451
2 201439
3 20132
4 20125
5 201229
6 201138
7 2006113
8 2004180
9 19995
10 199695
11 199623
12 199518
13 199449
14 19931
15 199226
16 19922
17
On Parallel Search of DNA Sequence Databases
19915
18 19896
19 198838
20 197962

About Richard Mural

Richard Mural is a scholar working on Molecular Biology, Immunology and Allergy, Genetics, Virology and Biochemistry, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), Machine Learning in Bioinformatics (13 papers), RNA and protein synthesis mechanisms (13 papers), Photosynthetic Processes and Mechanisms (12 papers), Fractal and DNA sequence analysis (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Algorithms and Data Compression (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Genetics (716 citations), Biochemistry (90 citations), Cell Biology (181 citations) and Ecology (275 citations). Richard Mural has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Edward C. Uberbacher, David I. Friedman, Thomas S. Soper, Frank W. Larimer, F.C. Hartman, Manesh Shah, Ying Xu, Ying Xu, J. R. Einstein and Serge Batalov. Their work appears in journals such as Journal of Biological Chemistry, Virology, Journal of Virology, Cancer Research and PLoS ONE.

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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