Stephanie D. Teeter

667 total citations · 1 hit paper
7 papers, 583 citations indexed

About

Stephanie D. Teeter is a scholar working on Surgery, Biochemistry and Molecular Biology. According to data from OpenAlex, Stephanie D. Teeter has authored 7 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Biochemistry and 1 paper in Molecular Biology. Recurrent topics in Stephanie D. Teeter's work include Sulfur Compounds in Biology (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Biomedical Ethics and Regulation (1 paper). Stephanie D. Teeter is often cited by papers focused on Sulfur Compounds in Biology (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Biomedical Ethics and Regulation (1 paper). Stephanie D. Teeter collaborates with scholars based in United States and United Kingdom. Stephanie D. Teeter's co-authors include Michael P. Gamcsik, Mohit S. Kasibhatla, O. Michael Colvin, Susan H. Bernacki, Elizabeth G. Loboa, Josephine C. Bodle, Matthew R. DeWitt, Lei Xing, Michael B. Sano and Naji S. Husseini and has published in prestigious journals such as Journal of Biomechanics, Osteoarthritis and Cartilage and Studies in Higher Education.

In The Last Decade

Stephanie D. Teeter

7 papers receiving 577 citations

Hit Papers

Glutathione levels in human tumors 2012 2026 2016 2021 2012 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Glutathione levels in human tumors
    2012 505 citations Michael P. Gamcsik, Mohit S. Kasibhatla et al. Biomarkers profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephanie D. Teeter United States 5 243 225 129 123 73 7 583
Joungyoun Noh South Korea 11 423 1.7× 243 1.1× 227 1.8× 210 1.7× 49 0.7× 11 764
Xiangjie Luo China 16 314 1.3× 223 1.0× 196 1.5× 137 1.1× 23 0.3× 37 601
Shey-Cherng Tzou Taiwan 15 143 0.6× 263 1.2× 85 0.7× 100 0.8× 61 0.8× 34 625
Qingyu Zong China 15 345 1.4× 182 0.8× 132 1.0× 187 1.5× 29 0.4× 25 529
Qiulian Mao China 13 398 1.6× 193 0.9× 198 1.5× 110 0.9× 59 0.8× 17 552
Chaoxiang Cui China 11 337 1.4× 185 0.8× 173 1.3× 74 0.6× 55 0.8× 16 462
Elena Strekalova United States 13 194 0.8× 486 2.2× 133 1.0× 104 0.8× 39 0.5× 16 810
Yinxing Miao China 14 356 1.5× 189 0.8× 196 1.5× 103 0.8× 19 0.3× 31 563
Huiru Lu China 20 427 1.8× 344 1.5× 220 1.7× 256 2.1× 22 0.3× 34 873
Chenyue Zhan China 14 348 1.4× 256 1.1× 172 1.3× 117 1.0× 33 0.5× 17 614

Countries citing papers authored by Stephanie D. Teeter

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie D. Teeter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie D. Teeter

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie D. Teeter. A scholar is included among the top collaborators of Stephanie D. Teeter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephanie D. Teeter. Stephanie D. Teeter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
2.
Teeter, Stephanie D., et al.. (2023). Using Activity Theory to understand the interactions of a university interdisciplinary team of scientists and science educators. Studies in Higher Education. 48(6). 892–909. 4 indexed citations
3.
Teeter, Stephanie D., Naji S. Husseini, & Jacqueline H. Cole. (2020). Assessing changes in attitudes toward engineering and biomechanics resulting from a high school outreach event. Journal of Biomechanics. 103. 109683–109683. 5 indexed citations
4.
Sano, Michael B., Matthew R. DeWitt, Stephanie D. Teeter, & Lei Xing. (2018). Optimization of a single insertion electrode array for the creation of clinically relevant ablations using high-frequency irreversible electroporation. Computers in Biology and Medicine. 95. 107–117. 25 indexed citations
5.
6.
Gamcsik, Michael P., Mohit S. Kasibhatla, Stephanie D. Teeter, & O. Michael Colvin. (2012). Glutathione levels in human tumors. Biomarkers. 17(8). 671–691. 505 indexed citations breakdown →
7.
Gamcsik, Michael P., Susan M. Ludeman, James B. Springer, et al.. (2010). Non-invasive Monitoring of L-2-Oxothiazolidine-4-Carboxylate Metabolism in the Rat Brain by In vivo 13C Magnetic Resonance Spectroscopy. Neurochemical Research. 36(3). 443–451. 3 indexed citations

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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