M Sheffery

1.6k citations
39 papers · 1.5k · h-index 23

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Bacterial Genetics and Biotechnology
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms

Papers in

    • Genomics and Chromatin Dynamics 10
    • DNA Repair Mechanisms 6
    • RNA modifications and cancer 6
    • DNA and Nucleic Acid Chemistry 5
    • RNA Research and Splicing 4
    • Hemoglobinopathies and Related Disorders 11

M Sheffery

39 papers receiving 1.4k citations

Peers

M Sheffery
Comparison fields: 5 of 87
  • Genetics 181
  • Molecular Biology 1.1k
  • Genetics 306
  • Immunology 197
  • Virology 39
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Citations per field
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Citations per year

Countries citing papers authored by M Sheffery

Since Specialization
Citations

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

Fields of papers citing papers by M Sheffery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Induction of transformed cells to terminal differentiation and the modulation of gene expression.
1987153
2 198299
3 199486
4 199285
5 198679
6 198179
7 198473
8 199071
9 198569
10 199359
11 199058
12 198854
13 198845
14 199445
15 198442
16 200037
17 197729
18 198629
19 197925
20 198924

About M Sheffery

M Sheffery is a scholar working on Molecular Biology, Genetics, Physiology, Immunology and Genetics, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (11 papers), Genomics and Chromatin Dynamics (10 papers), Erythrocyte Function and Pathophysiology (9 papers), DNA Repair Mechanisms (6 papers), RNA modifications and cancer (6 papers), DNA and Nucleic Acid Chemistry (5 papers), T-cell and B-cell Immunology (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Genetics (181 citations), Molecular Biology (1.1k citations), Genetics (306 citations), Immunology (197 citations) and Virology (39 citations). M Sheffery has collaborated with scholars based in United States. Frequent co-authors include Chul Geun Kim, Richard A. Rifkind, Paul A. Marks, Steven Swendeman, Roger B. Cohen, Kerry M. Barnhart, L C Lim, A Newton, P A Marks and R A Rifkind. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Molecular Biology 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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