Mark P. White

2.6k citations
13 papers · 2.2k · 1 hit paper · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

    • Congenital heart defects research 2
    • Pluripotent Stem Cells Research 1
    • Animal Genetics and Reproduction 1

Mark P. White

13 papers receiving 2.1k citations

Mark P. White's Hit Papers

miR-145 and miR-143 regulate smooth muscle cell fate and plasticity 2009 · 1.3k citations
1.3k0+5+11Years since publication4008001.2k

Peers

Mark P. White
Comparison fields: 5 of 98
  • Cancer Research 908
  • Aging 111
  • Molecular Biology 1.3k
  • Endocrine and Autonomic Systems 53
  • Cardiology and Cardiovascular Medicine 142
Replace Emily Berry with:
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Mark P. White relative to Emily Berry United States Emily Berry's profile →
Citations per field
00.5×2×3×4.1×
Emily Berry · 1×
Citations per year

Countries citing papers authored by Mark P. White

Since Specialization
Citations

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

Fields of papers citing papers by Mark P. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark P. White. 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 Mark P. White. The network helps show where Mark P. White may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
miR-145 and miR-143 regulate smooth muscle cell fate and plasticity
Hit paper breakdown →
20091339
2 2015160
3 2015100
4 201292
5 201291
6 200882
7 201269
8 201064
9 200649
10 201646
11 201544
12 200626
13
The Role of NOTCH1 Signaling in Aortic Valve Calcification
20121

About Mark P. White

Mark P. White is a scholar working on Molecular Biology, Genetics, Aging, Surgery and Nephrology, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (2 papers), Congenital heart defects research (2 papers), Genetic and Environmental Crop Studies (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Animal Genetics and Reproduction (1 paper), Pluripotent Stem Cells Research (1 paper), Biochemical Acid Research Studies (1 paper) and Cardiac tumors and thrombi (1 paper). The work is most often cited by research in Cancer Research (908 citations), Aging (111 citations), Molecular Biology (1.3k citations), Endocrine and Autonomic Systems (53 citations) and Cardiology and Cardiovascular Medicine (142 citations). Mark P. White has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Deepak Srivastava, Kathryn N. Ivey, Kimberly R. Cordes, Joseph M. Miano, Emily Berry, Sarah U. Morton, Lei Liu, Christina V. Theodoris, Benoit G. Bruneau and Molong Li. Their work appears in journals such as Cell stem cell, Plant Biotechnology Journal, Journal of Molecular and Cellular Cardiology, Stem Cells and Development.

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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