Michael J. Redd

3.8k citations
33 papers · 3.1k indexed · 2 hit papers · h-index 19

Michael J. Redd

32 papers receiving 3.0k citations

Hit Papers

Mechanical stretch tr...5531992202620032014200400600

Peers

Michael J. Redd
Comparison fields: 5 of 130
  • Cell Biology 966
  • Immunology 660
  • Molecular Biology 1.7k
  • Rehabilitation 146
  • Orthopedics and Sports Medicine 122
Replace Martin Jung with:
Martin Jung Germany
Paolo Grumati Italy
Colin Jamora United States
Monique V. Davies United States
Emma Colucci‐Guyon France
Yumi Kanegae Japan
Craig A. Mandato Canada
Renzhi Han United States
Kim B. Jensen Denmark
Joseph A. Rothnagel Australia
Michael J. Redd relative to Martin Jung Germany Martin Jung's profile →
Citations per field
00.5×1.6×
Martin Jung · 1×
Citations per year

Countries citing papers authored by Michael J. Redd

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Redd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202117
3 20215
4 20214
5 202019
6 201840
7 20184
8 2017137
9
Mechanical stretch triggers rapid epithelial cell division through Piezo1breakdown →
2017553
10 20163
11 20168
12 201430
13 200967
14 200849
15 2006158
16 2004213
17 199792
18 199759
19 199583
20
Ssn6-Tup1 is a general repressor of transcription in yeastbreakdown →
1992608

About Michael J. Redd

Michael J. Redd is a scholar working on Orthopedics and Sports Medicine, Immunology and Allergy, Cell Biology, Complementary and alternative medicine and Immunology, having authored 33 papers that have together received 3.1k indexed citations. Recurring topics across this work include Sports Performance and Training (11 papers), Sports injuries and prevention (9 papers), Fungal and yeast genetics research (6 papers), RNA Research and Splicing (6 papers), Zebrafish Biomedical Research Applications (4 papers), Sport Psychology and Performance (3 papers), Cellular Mechanics and Interactions (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Cell Biology (966 citations), Immunology (660 citations), Molecular Biology (1.7k citations), Rehabilitation (146 citations) and Orthopedics and Sports Medicine (122 citations). Michael J. Redd has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Alexander D. Johnson, Janet Schultz, Marian Carlson, Paul Martin, A D Johnson, Brian Stramer, Will Wood, Jody Rosenblatt, Kornelia Edes and Swapna Aravind Gudipaty. Their work appears in journals such as International journal of exercise science, Genes & Development, Journal of Biological Chemistry, PLoS ONE and Blood.

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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