Michael P. Weir

2.1k citations
38 papers · 1.2k · h-index 18

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Developmental Biology and Gene Regulation
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms

Papers in

    • Developmental Biology and Gene Regulation 18
    • RNA and protein synthesis mechanisms 11
    • Genomics and Chromatin Dynamics 11
    • RNA Research and Splicing 10
    • RNA modifications and cancer 5
    • Genomics and Phylogenetic Studies 4
    • Animal Genetics and Reproduction 6

Michael P. Weir

38 papers receiving 1.2k citations

Peers

Michael P. Weir
Comparison fields: 5 of 81
  • Aging 120
  • Molecular Biology 1.1k
  • Genetics 305
  • Cellular and Molecular Neuroscience 141
  • Cell Biology 84
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Citations per year

Countries citing papers authored by Michael P. Weir

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987142
2 1985137
3 1989108
4 1986105
5 1988104
6 198275
7 198457
8 199651
9 198949
10 199143
11 199340
12 199431
13 199630
14 201030
15 200430
16 198825
17 201223
18 200018
19 198515
20
Megaprimer method for in vitro mutagenesis using parallel templates.
199515

About Michael P. Weir

Michael P. Weir is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Plant Science and Biomaterials, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (18 papers), RNA and protein synthesis mechanisms (11 papers), Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (10 papers), Animal Genetics and Reproduction (6 papers), RNA modifications and cancer (5 papers), Neurobiology and Insect Physiology Research (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Aging (120 citations), Molecular Biology (1.1k citations), Genetics (305 citations), Cellular and Molecular Neuroscience (141 citations) and Cell Biology (84 citations). Michael P. Weir has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Thomas B. Kornberg, Cecilia W. Lo, Cynthia Kenyon, Gerold Schubiger, Michael Rice, Kevin Coleman, Stephen J. Poole, Walter C. Soeller, Bruce A. Edgar and Harold Varmus. Their work appears in journals such as Developmental Biology, Development, Genes & Development, International Journal of Molecular Sciences and Journal of Proteome Research.

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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