Edwin Munro

6.4k citations
48 papers · 4.4k indexed · 3 hit papers · h-index 31

Impact in

  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 0.5%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Hippo pathway signaling and YAP/TAZ

Papers in

Edwin Munro

46 papers receiving 4.3k citations

Hit Papers

Force Generation, Transmission, and Integration during Cell and Tissue Morphogenesis 2011 · 427 citations
4272000202620082017250500750

Peers

Edwin Munro
Comparison fields: 5 of 129
  • Aging 748
  • Cell Biology 2.1k
  • Molecular Biology 2.5k
  • Endocrine and Autonomic Systems 191
  • Biophysics 149
Replace Jennifer A. Zallen with:
Jennifer A. Zallen United States
George von Dassow United States
Jeff Hardin United States
Bob Goldstein United States
Rebecca D. Burdine United States
Suzanne Eaton Germany
Daniel P. Kiehart United States
Joseph C. Corbo United States
Michaela Wilsch‐Bräuninger Germany
Anne Ephrussi Germany
Edwin Munro relative to Jennifer A. Zallen United States Jennifer A. Zallen's profile →
Citations per field
00.5×1.7×
Jennifer A. Zallen · 1×
Citations per year

Countries citing papers authored by Edwin Munro

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Munro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin Munro. 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 Edwin Munro. The network helps show where Edwin Munro may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 202213
4 202222
5 202126
6 202016
7 201955
8 201978
9 201928
10 201881
11 201557
12 201591
13 201462
14 2010158
15 200632
16 200632
17 2005128
18
Cortical Flows Powered by Asymmetrical Contraction Transport PAR Proteins to Establish and Maintain Anterior-Posterior Polarity in the Early C. elegans Embryo
Hit paper breakdown →
2004520
19 2003159
20 2002150

About Edwin Munro

Edwin Munro is a scholar working on Aging, Endocrine and Autonomic Systems, Cell Biology, Paleontology and Biophysics, having authored 48 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Cellular Mechanics and Interactions (15 papers), Circadian rhythm and melatonin (11 papers), Developmental Biology and Gene Regulation (10 papers), Microtubule and mitosis dynamics (6 papers), Marine Ecology and Invasive Species (5 papers), Plant Molecular Biology Research (4 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Aging (748 citations), Cell Biology (2.1k citations), Molecular Biology (2.5k citations), Endocrine and Autonomic Systems (191 citations) and Biophysics (149 citations). Edwin Munro has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Garrett M. Odell, George von Dassow, Eli Meir, Jeremy Nance, Thomas Lecuit, James R Priess, Pierre‐François Lenne, François Robin, Jean‐Marc Philippe and Akankshi Munjal. Their work appears in journals such as Developmental Cell, Development, Current Biology, Biophysical Journal and Nature.

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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