Michael Snaith

1.4k citations
17 papers · 729 · h-index 15

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • Pluripotent Stem Cells Research 2
    • RNA Interference and Gene Delivery 2
    • Animal Genetics and Reproduction 2
    • Genetics and Neurodevelopmental Disorders 1

Michael Snaith

17 papers receiving 680 citations

Peers

Michael Snaith
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 71
  • Biotechnology 71
  • Molecular Biology 497
  • Genetics 176
  • Aging 7
Replace Tatsunobu Fukushima with:
Tatsunobu Fukushima Japan
María Laura Cremona United States
Alan Zhong United States
Etsuo Nakamura Japan
A. Kurosky United States
Samuel B. Stephens United States
Michèle Jouvenot France
Natalie Weber Germany
C R Prostko United States
Nanni Din Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Michael Snaith

Since Specialization
Citations

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

Fields of papers citing papers by Michael Snaith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1993291
2 199587
3 200647
4 200433
5 201233
6 200233
7 200632
8 200727
9 200425
10 199623
11 200819
12 199518
13 202116
14 202014
15 201314
16 20029
17 19968

About Michael Snaith

Michael Snaith is a scholar working on Molecular Biology, Genetics, Surgery, Endocrine and Autonomic Systems and Oncology, having authored 17 papers that have together received 729 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Regulation of Appetite and Obesity (3 papers), CRISPR and Genetic Engineering (3 papers), Animal Genetics and Reproduction (2 papers), Pluripotent Stem Cells Research (2 papers), RNA Interference and Gene Delivery (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (71 citations), Biotechnology (71 citations), Molecular Biology (497 citations), Genetics (176 citations) and Aging (7 citations). Michael Snaith has collaborated with scholars based in Sweden, United Kingdom and France. Frequent co-authors include J. A. H. Murray, Nigel J. Kilby, Jan Törnell, Gareth Davies, Mohammad Bohlooly‐Y, Lennart Svensson, Mikael Bjursell, Catherine A. Boulter, Jan Oscarsson and Anna-Karin Gerdin. Their work appears in journals such as Biochemical and Biophysical Research Communications, Gene, PLoS ONE, Diabetes and Trends in Genetics.

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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