Megan Munsie

65 papers receiving 1.3k citations

Peers

Megan Munsie
Comparison fields: 5 of 111
  • Physiology 667
  • Reproductive Medicine 205
  • Transplantation 42
  • Public Health, Environmental and Occupational Health 274
  • Molecular Biology 694
Replace Rosario Isasi with:
Rosario Isasi Canada
Insoo Hyun United States
Douglas Sipp Japan
Amy Zarzeczny Canada
Christopher Thomas Scott United States
Guido de Wert Netherlands
Kirstin R.W. Matthews United States
Achim Rosemann United Kingdom
Donald W. Hadley United States
Niki Vermeulen United Kingdom
Megan Munsie relative to Rosario Isasi Canada Rosario Isasi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Megan Munsie

Since Specialization
Citations

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

Fields of papers citing papers by Megan Munsie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017155
2 2008106
3 201386
4 201784
5 201879
6 202074
7 201560
8 201757
9 201445
10 199737
11 201736
12 201435
13 201435
14 201734
15 201734
16 200428
17 201827
18 201523
19 201422
20 201721

About Megan Munsie

Megan Munsie is a scholar working on Physiology, Molecular Biology, Reproductive Medicine, Cognitive Neuroscience and Public Health, Environmental and Occupational Health, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Ethics and Regulation (54 papers), Pluripotent Stem Cells Research (33 papers), Science, Research, and Medicine (16 papers), Neuroethics, Human Enhancement, Biomedical Innovations (14 papers), Ethics in Clinical Research (6 papers), Organ and Tissue Transplantation Research (4 papers), 3D Printing in Biomedical Research (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Physiology (667 citations), Reproductive Medicine (205 citations), Transplantation (42 citations), Public Health, Environmental and Occupational Health (274 citations) and Molecular Biology (694 citations). Megan Munsie has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Alan Petersen, Insoo Hyun, Jeremy Sugarman, Martín F. Pera, Claire Tanner, Kate Seear, Michele De Luca, Casimir MacGregor, Janet Rossant and Nicolas Rivron. Their work appears in journals such as Regenerative Medicine, Cytotherapy, Stem Cell Reports, Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine and Nature Methods.

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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