Mark R. Macbeth

953 citations
17 papers · 765 · h-index 11

Impact in

    • RNA regulation and disease
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering
    • Parallel Computing and Optimization Techniques

Papers in

    • RNA regulation and disease 5
    • RNA Research and Splicing 4
    • RNA and protein synthesis mechanisms 3
    • Parallel Computing and Optimization Techniques 5
    • Real-Time Systems Scheduling 4

Mark R. Macbeth

17 papers receiving 750 citations

Peers

Mark R. Macbeth
Comparison fields: 5 of 63
  • Molecular Biology 571
  • Hardware and Architecture 58
  • Cell Biology 118
  • Cardiology and Cardiovascular Medicine 58
  • Computer Networks and Communications 70
Replace Benjamin Lee with:
Benjamin Lee United States
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Alasdair I. MacDonald United Kingdom
Haiming Liu China
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Feng‐Chi Chen Taiwan
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Patricia Rodriguez‐Tomé United Kingdom
Fariza Tahi France
Mark R. Macbeth relative to Benjamin Lee United States Benjamin Lee's profile →
Citations per field
00.5×6.6×
Benjamin Lee · 1×
Citations per year

Countries citing papers authored by Mark R. Macbeth

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Macbeth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005358
2 200457
3 201155
4 201150
5 200442
6 200736
7 201232
8
Executing Java threads in parallel in a distributed-memory environment
199828
9 200127
10 199925
11 199920
12 200010
13 20178
14
Compiling Multithreaded Java Bytecode for Distributed Execution (Distinguished Paper)
20007
15 20216
16 20003
17 20241

About Mark R. Macbeth

Mark R. Macbeth is a scholar working on Molecular Biology, Hardware and Architecture, Computer Networks and Communications, Immunology and Infectious Diseases, having authored 17 papers that have together received 765 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), RNA regulation and disease (5 papers), Real-Time Systems Scheduling (4 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Molecular Biology (571 citations), Hardware and Architecture (58 citations), Cell Biology (118 citations), Cardiology and Cardiovascular Medicine (58 citations) and Computer Networks and Communications (70 citations). Mark R. Macbeth has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Brenda Bass, Christopher P. Hill, Andrew P. VanDemark, Heidi Schubert, Peter A. Beal, Ira G. Wool, Philip J. Hatcher, Adam D. Linstedt, Steven T. Truschel and A. Héroux. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Methods in enzymology on CD-ROM/Methods in enzymology, Protein Science and FEBS Letters.

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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