Elizabeth Munro

986 citations
27 papers · 765 indexed · h-index 9

Impact in

Papers in

Elizabeth Munro

24 papers receiving 742 citations

Peers

Elizabeth Munro
Comparison fields: 5 of 82
  • Developmental Neuroscience 169
  • Cellular and Molecular Neuroscience 360
  • Reproductive Medicine 158
  • Obstetrics and Gynecology 121
  • Oncology 103
Replace Trevor Tejada‐Berges with:
Trevor Tejada‐Berges United States
P. J. McLaughlin United States
John Yeh United States
Stéphanie Henry Belgium
Richard Kryscio United States
Camelia V. Marcos-Gutierrez Netherlands
György Kosztolányi Hungary
Susan L. Palmieri United States
J P Schaaps Belgium
Ulrike A. Mau‐Holzmann Germany
Elizabeth Munro relative to Trevor Tejada‐Berges United States Trevor Tejada‐Berges's profile →
Citations per field
00.5×3.3×
Trevor Tejada‐Berges · 1×
Citations per year

Countries citing papers authored by Elizabeth Munro

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Munro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 20233
4 20231
5 20232
6 20228
7 20212
8 202112
9 20213
10 20204
11 202019
12 201128
13 200922
14 20097
15 200951
16 200816
17
Effects of treatment type on vertebral heart size in dogs with myxomatous mitral valve disease.
20077
18 2007107
19 20072
20 1998452

About Elizabeth Munro

Elizabeth Munro is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Epidemiology and Immunology, having authored 27 papers that have together received 765 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (9 papers), Ovarian cancer diagnosis and treatment (8 papers), Cervical Cancer and HPV Research (6 papers), Endometriosis Research and Treatment (5 papers), Uterine Myomas and Treatments (4 papers), Cancer Risks and Factors (2 papers), Global Cancer Incidence and Screening (2 papers) and Intraperitoneal and Appendiceal Malignancies (2 papers). The work is most often cited by research in Developmental Neuroscience (169 citations), Cellular and Molecular Neuroscience (360 citations), Reproductive Medicine (158 citations), Obstetrics and Gynecology (121 citations) and Oncology (103 citations). Elizabeth Munro has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Minjie Hu, Anke Meyer‐Franke, George A. Wilkinson, Louis F. Reichardt, Alex Krüttgen, M. Gartz Hanson, Ben A. Barres, Jonathan S. Berek, Kathryn Osann and Amreen Husain. Their work appears in journals such as Gynecologic Oncology, American Journal of Obstetrics and Gynecology, Obstetrics and Gynecology, Annals of Surgical Oncology and Cancer Research.

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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