Stephanie Totten

20 papers receiving 149 citations

Peers

Stephanie Totten
Comparison fields: 5 of 57
  • Endocrinology 12
  • Oncology 34
  • Endocrine and Autonomic Systems 8
  • Cancer Research 17
  • Pediatrics, Perinatology and Child Health 18
Replace Gijs J. F. van Son with:
Gijs J. F. van Son Netherlands
Uma Goyal United States
Elie N. Farah United States
Yu‐Wei Chiou Taiwan
Emily I. Schindler United States
Bojie Xu China
Michael Pitter United States
Christopher B. Ball United States
Mariangela Di Tacchio Germany
Deepa Bedi United States
Stephanie Totten relative to Gijs J. F. van Son Netherlands Gijs J. F. van Son's profile →
Citations per field
00.5×
Gijs J. F. van Son · 1×
Citations per year

Countries citing papers authored by Stephanie Totten

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Totten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 201516
3 200411
4 202310
5 20219
6 20208
7 20148
8 20228
9 20017
10 20215
11 20244
12 20214
13 20244
14 20243
15 20211
16 20191
17 20141
18 20231
19 20231
20 20181

About Stephanie Totten

Stephanie Totten is a scholar working on Biomedical Engineering, Oncology, Radiology, Nuclear Medicine and Imaging, Biotechnology and Materials Chemistry, having authored 21 papers that have together received 151 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (7 papers), Ultrasound Imaging and Elastography (4 papers), Ultrasound and Cavitation Phenomena (4 papers), Microbial Inactivation Methods (3 papers), Neonatal and fetal brain pathology (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), DNA Repair Mechanisms (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Endocrinology (12 citations), Oncology (34 citations), Endocrine and Autonomic Systems (8 citations), Cancer Research (17 citations) and Pediatrics, Perinatology and Child Health (18 citations). Stephanie Totten has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Bryan S. Richardson, Yak-Nam Wang, Josie Ursini‐Siegel, Ryuhjin Ahn, Robert Hammond, Tatiana D. Khokhlova, Tony Pawson, Celia Caballero‐Franco, Steven Hébert and Nicolas Jay. Their work appears in journals such as Ultrasound in Medicine & Biology, The Journal of the Acoustical Society of America, Nature Communications, Medical Education and JCI Insight.

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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