Meaghan Tenney

1.2k citations
27 papers · 559 · h-index 13

Impact in

Papers in

Meaghan Tenney

27 papers receiving 549 citations

Peers

Meaghan Tenney
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 231
  • Reproductive Medicine 196
  • Epidemiology 173
  • Oncology 132
  • Internal Medicine 16
Replace Tomomi Egawa‐Takata with:
Tomomi Egawa‐Takata Japan
Chiara Borghi Italy
Tullio Golia D’Augè Italy
Geneviève Bouchard‐Fortier Canada
Beryl Manning‐Geist United States
Serena Cappuccio Italy
Mariam AlHilli United States
Jennifer K. Burzawa United States
Sabrina Piedimonte Canada
Giulio Sozzi Italy
Meaghan Tenney relative to Tomomi Egawa‐Takata Japan Tomomi Egawa‐Takata's profile →
Citations per field
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Tomomi Egawa‐Takata · 1×
Citations per year

Countries citing papers authored by Meaghan Tenney

Since Specialization
Citations

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

Fields of papers citing papers by Meaghan Tenney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014150
2 201671
3 201146
4 201538
5 201636
6 201532
7 201528
8 201523
9 201619
10 201719
11
Studies of the relationship between sympathoadrenal function, acid base derangements and ventricular contractile force.
196017
12 201613
13 202313
14 201510
15 20159
16 20148
17 20165
18 20125
19 20103
20 20183

About Meaghan Tenney

Meaghan Tenney is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Surgery, Oncology and Epidemiology, having authored 27 papers that have together received 559 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (13 papers), Ovarian cancer diagnosis and treatment (9 papers), Cervical Cancer and HPV Research (6 papers), Uterine Myomas and Treatments (4 papers), Intraperitoneal and Appendiceal Malignancies (3 papers), Cancer, Lipids, and Metabolism (2 papers), PARP inhibition in cancer therapy (2 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Obstetrics and Gynecology (231 citations), Reproductive Medicine (196 citations), Epidemiology (173 citations), Oncology (132 citations) and Internal Medicine (16 citations). Meaghan Tenney has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Joan L. Walker, Erin Bishop, Cara Mathews, Kathleen N. Moore, Katherine Moxley, Elizabeth Nugent, S. Diane Yamada, Michael A. Gold, Nicolas Wentzensen and Nita K. Lee. Their work appears in journals such as Gynecologic Oncology, Journal of Clinical Oncology, International Journal of Gynecological Cancer, Journal of the National Comprehensive Cancer Network and Clinical Trials.

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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