Meredith A. Redd

31 papers receiving 1.3k citations

Peers

Meredith A. Redd
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 346
  • Neurology 94
  • Molecular Biology 373
  • Developmental Neuroscience 17
  • Genetics 41
Replace Matthieu Gautier with:
Matthieu Gautier Switzerland
Xu-yi Chen China
Stephanie L. Yahn United States
Samuel Sances United States
Takeshi Ikegami Japan
Nan Xiao United States
Saravanan Karumbayaram United States
Rouel S. Roque United States
Kyoko Tan‐Takeuchi Japan
Duncan E. Crombie Australia
Meredith A. Redd relative to Matthieu Gautier Switzerland Matthieu Gautier's profile →
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Citations per year

Countries citing papers authored by Meredith A. Redd

Since Specialization
Citations

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

Fields of papers citing papers by Meredith A. Redd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009301
2 2016157
3 2010140
4 2019117
5 202165
6 201358
7 201550
8 201643
9 200937
10 201835
11 201732
12 201330
13 200829
14 202026
15 201824
16 201618
17 202318
18 201614
19 201914
20 201612

About Meredith A. Redd

Meredith A. Redd is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Biomedical Engineering, Molecular Biology and Hematology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Cardiac Ischemia and Reperfusion (4 papers), Genetic Neurodegenerative Diseases (4 papers), 3D Printing in Biomedical Research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Mechanical Circulatory Support Devices (2 papers), Genomics and Chromatin Dynamics (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (346 citations), Neurology (94 citations), Molecular Biology (373 citations), Developmental Neuroscience (17 citations) and Genetics (41 citations). Meredith A. Redd has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Xiao‐Jiang Li, Ji‐Yeon Shin, Chuan-En Wang, Shihua Li, Jennifer W. Bradford, Ying Yi Zheng, Charles E. Murry, Nathan J. Palpant, Lil Pabon and Brandon Hadland. Their work appears in journals such as Nature Communications, Journal of Visualized Experiments, Cell Reports, Journal of Biological Chemistry and Circulation.

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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