Michael D. Sheets

3.5k citations
44 papers · 2.2k · h-index 22

Impact in

Papers in

    • RNA Research and Splicing 20
    • Developmental Biology and Gene Regulation 19
    • RNA and protein synthesis mechanisms 3
    • Hedgehog Signaling Pathway Studies 2
    • Pluripotent Stem Cells Research 1
    • Monoclonal and Polyclonal Antibodies Research 3

Michael D. Sheets

43 papers receiving 2.1k citations

Peers

Michael D. Sheets
Comparison fields: 5 of 79
  • Molecular Biology 1.3k
  • Radiology, Nuclear Medicine and Imaging 297
  • Cellular and Molecular Neuroscience 133
  • Cell Biology 98
  • Physiology 23
Replace Waixing Tang with:
Waixing Tang United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael D. Sheets

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Sheets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990445
2 1998372
3 1995194
4 2009128
5 1983126
6 1986126
7 199272
8 200051
9 198749
10 201149
11 200245
12 200137
13 200235
14 200431
15 200631
16 199029
17 201227
18 201827
19 202127
20 200126

About Michael D. Sheets

Michael D. Sheets is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Genetics and Cancer Research, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 papers), Developmental Biology and Gene Regulation (19 papers), RNA and protein synthesis mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Pluripotent Stem Cells Research (1 paper), Hereditary Neurological Disorders (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Radiology, Nuclear Medicine and Imaging (297 citations), Cellular and Molecular Neuroscience (133 citations), Cell Biology (98 citations) and Physiology (23 citations). Michael D. Sheets has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Marvin Wickens, Stephen C. Ogg, Mary Constance Lane, Michael Wu, Pauline Stephenson, Ricarda Finnern, John C. Gerhart, Peter Amersdorfer, David A. Zarkower and James D. Marks. Their work appears in journals such as Developmental Biology, Developmental Dynamics, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and genesis.

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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