M.T. Smith

526 citations
21 papers · 458 · h-index 15

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering

Papers in

    • Bacterial Genetics and Biotechnology 17
    • DNA Repair Mechanisms 9
    • DNA and Nucleic Acid Chemistry 8
    • RNA and protein synthesis mechanisms 4
    • Glycosylation and Glycoproteins Research 1

M.T. Smith

21 papers receiving 443 citations

Peers

M.T. Smith
Comparison fields: 5 of 58
  • Genetics 345
  • Molecular Biology 348
  • Ecology 92
  • Immunology and Allergy 11
  • Otorhinolaryngology 6
Replace Akif Uzman with:
Akif Uzman United States
Ulrike Schön Germany
C. Puers Germany
Oliver Schlenker United Kingdom
Petra Björk Sweden
S Falkenthal United States
A. I. Ibraimov Kyrgyzstan
Barry M. Dancis United States
Evelyn Jagoda United States
Anique Olivier-Mason United States
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Citations per field
00.5×4.6×
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Citations per year

Countries citing papers authored by M.T. Smith

Since Specialization
Citations

This map shows the geographic impact of M.T. Smith'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.T. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Smith more than expected).

Fields of papers citing papers by M.T. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198751
2 199246
3 198935
4 199334
5 200033
6 199131
7 199429
8 198824
9 199922
10 198421
11 199619
12 198518
13 198315
14 199415
15 199614
16 202012
17
Chromosomal localization of the gene for Gaucher disease.
198212
18 199310
19 19898
20 19877

About M.T. Smith

M.T. Smith is a scholar working on Genetics, Molecular Biology, Ecology, Social Psychology and Rheumatology, having authored 21 papers that have together received 458 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 papers), DNA Repair Mechanisms (9 papers), DNA and Nucleic Acid Chemistry (8 papers), Bacteriophages and microbial interactions (7 papers), RNA and protein synthesis mechanisms (4 papers), Paranormal Experiences and Beliefs (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Genetics (345 citations), Molecular Biology (348 citations), Ecology (92 citations), Immunology and Allergy (11 citations) and Otorhinolaryngology (6 citations). M.T. Smith has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include R.G. Wake, Peter J. Lewis, David B. Langley, Tiina P. Iismaa, Andy Scally, Brenda J. Wilson, Glenn F. King, Iain G. Duggin, P. A. Young and Per Andersen. Their work appears in journals such as Gene, Journal of Molecular Biology, Journal of Bacteriology, Molecular Microbiology and Matrix Biology.

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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