Michael A. Pickart

620 citations
18 papers · 472 · h-index 10

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • CRISPR and Genetic Engineering
    • Congenital heart defects research
    • Polyamine Metabolism and Applications
    • Pluripotent Stem Cells Research
    • Epigenetics and DNA Methylation

Papers in

    • Polyamine Metabolism and Applications 6
    • CRISPR and Genetic Engineering 2
    • RNA Interference and Gene Delivery 2
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Zebrafish Biomedical Research Applications 4

Michael A. Pickart

17 papers receiving 461 citations

Peers

Michael A. Pickart
Comparison fields: 5 of 74
  • Cell Biology 152
  • Molecular Biology 284
  • Aging 5
  • Genetics 74
  • Cancer Research 32
Replace Rosalynn J. Miltenberger with:
Rosalynn J. Miltenberger United States
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Nobutake Akiyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Michael A. Pickart

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Pickart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200693
2 200583
3 201278
4 200668
5 200437
6 201336
7 199413
8
Antiproliferative effects of N1,N4-dibenzylputrescine in human and rodent tumor cells.
199813
9 200512
10 201410
11 19939
12 19998
13 19955
14 20123
15 20162
16 20161
17 19961
18 20210

About Michael A. Pickart

Michael A. Pickart is a scholar working on Molecular Biology, Cell Biology, Genetics, Surgery and Small Animals, having authored 18 papers that have together received 472 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (6 papers), Zebrafish Biomedical Research Applications (4 papers), CRISPR and Genetic Engineering (2 papers), Animal Genetics and Reproduction (2 papers), RNA Interference and Gene Delivery (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Aquaculture disease management and microbiota (1 paper) and Youth Development and Social Support (1 paper). The work is most often cited by research in Cell Biology (152 citations), Molecular Biology (284 citations), Aging (5 citations), Genetics (74 citations) and Cancer Research (32 citations). Michael A. Pickart has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Stephen C. Ekker, Eric W. Klee, Sridhar Sivasubbu, Philip F. Giampietro, Catherine M. Verfaillie, Craig E. Eckfeldt, Ulrich Broeckel, Robert D. Blank, Eric M. Mendenhall and Catherine A. McCarty. Their work appears in journals such as Zebrafish, International Journal of Radiation Oncology*Biology*Physics, Translational research, PLoS ONE and PLoS 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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