Michael Tackett

1.5k citations
21 papers · 886 · h-index 13

Impact in

Papers in

    • RNA Research and Splicing 6
    • Extracellular vesicles in disease 3
    • CRISPR and Genetic Engineering 2
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 2

Michael Tackett

19 papers receiving 864 citations

Peers

Michael Tackett
Comparison fields: 5 of 93
  • Sensory Systems 72
  • Cancer Research 204
  • Molecular Biology 676
  • Aging 13
  • Cellular and Molecular Neuroscience 86
Replace Praveen Sethupathy with:
Praveen Sethupathy United States
Dongmei Tang China
James C. Walker United States
Wenhao Xu United States
Robert K. Valenzuela United States
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Citations per field
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Praveen Sethupathy · 1×
Citations per year

Countries citing papers authored by Michael Tackett

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Tackett, 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 Tackett Line = papers co-authored together Michael Tackett 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 2004257
2 2013115
3 201295
4 200386
5 201364
6 201345
7 201343
8 201642
9 201831
10 201729
11 201720
12 201816
13 202016
14 20219
15 20136
16 20205
17 20133
18 20152
19 20172
20 20180

About Michael Tackett

Michael Tackett is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Nephrology and Rehabilitation, having authored 21 papers that have together received 886 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA Research and Splicing (6 papers), Inflammatory mediators and NSAID effects (4 papers), Extracellular vesicles in disease (3 papers), Olfactory and Sensory Function Studies (2 papers), Acute Kidney Injury Research (2 papers), Cancer-related molecular mechanisms research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Sensory Systems (72 citations), Cancer Research (204 citations), Molecular Biology (676 citations), Aging (13 citations) and Cellular and Molecular Neuroscience (86 citations). Michael Tackett has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Andrew Chess, Georges St. Laurent, Philipp Kapranov, Dmitry Shtokalo, Kristin K. Baldwin, Kevin Eggan, Joseph R. Osborne, Richard Axel, Joseph A. Gogos and Rudolf Jaenisch. Their work appears in journals such as Annals of the Rheumatic Diseases, Nature Communications, BMC Genomics, Nature Genetics and Circulation Heart Failure.

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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