Eva Tonsing-Carter

481 total citations
6 papers, 165 citations indexed

About

Eva Tonsing-Carter is a scholar working on Genetics, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eva Tonsing-Carter has authored 6 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eva Tonsing-Carter's work include Estrogen and related hormone effects (4 papers), Hormonal and reproductive studies (2 papers) and Prostate Cancer Treatment and Research (2 papers). Eva Tonsing-Carter is often cited by papers focused on Estrogen and related hormone effects (4 papers), Hormonal and reproductive studies (2 papers) and Prostate Cancer Treatment and Research (2 papers). Eva Tonsing-Carter collaborates with scholars based in United States. Eva Tonsing-Carter's co-authors include Suzanne D. Conzen, Kyle M. Hernandez, Diana C. West, Deng Pan, Masha Kocherginsky, Charles F. Pierce, Tzintzuni I. Garcia, Ricardo R. Lastra, Diana C. West-Szymanski and Gini F. Fleming and has published in prestigious journals such as Cancer Research, Molecular Cancer Therapeutics and Breast Cancer Research.

In The Last Decade

Eva Tonsing-Carter

6 papers receiving 163 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Tonsing-Carter United States 4 96 58 55 44 33 6 165
Jeffery M. Vahrenkamp United States 6 58 0.6× 52 0.9× 107 1.9× 22 0.5× 62 1.9× 11 199
Sharon De Morrow United States 3 23 0.2× 64 1.1× 41 0.7× 22 0.5× 26 0.8× 3 249
Seher Karslı-Çeppioğlu Türkiye 10 60 0.6× 39 0.7× 240 4.4× 51 1.2× 83 2.5× 14 330
Diana C. West-Szymanski United States 6 29 0.3× 49 0.8× 98 1.8× 25 0.6× 72 2.2× 9 163
Jessica J. Y. Lee Canada 5 52 0.5× 32 0.6× 102 1.9× 16 0.4× 44 1.3× 7 205
Feilun Cui China 9 18 0.2× 35 0.6× 172 3.1× 70 1.6× 88 2.7× 29 250
Mahdi Rivandi Iran 8 31 0.3× 51 0.9× 134 2.4× 25 0.6× 98 3.0× 23 232
Vineet K. Dhiman United States 7 55 0.6× 33 0.6× 193 3.5× 31 0.7× 52 1.6× 8 274
Göran Alund Switzerland 3 18 0.2× 31 0.5× 81 1.5× 25 0.6× 24 0.7× 5 154
Valerie Murphy United States 3 136 1.4× 209 3.6× 91 1.7× 175 4.0× 42 1.3× 6 318

Countries citing papers authored by Eva Tonsing-Carter

Since Specialization
Citations

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

Fields of papers citing papers by Eva Tonsing-Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Tonsing-Carter. 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 Eva Tonsing-Carter. The network helps show where Eva Tonsing-Carter may publish in the future.

Co-authorship network of co-authors of Eva Tonsing-Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Tonsing-Carter. A scholar is included among the top collaborators of Eva Tonsing-Carter 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 Eva Tonsing-Carter. Eva Tonsing-Carter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Tonsing-Carter, Eva, et al.. (2023). Abstract 4681: Human Cancer Models Initiative (HCMI): A community resource of next-generation cancer models and associated data. Cancer Research. 83(7_Supplement). 4681–4681. 5 indexed citations
2.
Tonsing-Carter, Eva, Kyle M. Hernandez, Caroline R. Kim, et al.. (2019). Glucocorticoid receptor modulation decreases ER-positive breast cancer cell proliferation and suppresses wild-type and mutant ER chromatin association. Breast Cancer Research. 21(1). 82–82. 41 indexed citations
3.
Long, Tiha M., Eva Tonsing-Carter, Wen‐Ching Chan, et al.. (2018). Abstract 944: Glucocorticoid receptor (GR)-mediated activation of cyclic-adenosine monophosphate (cAMP) pathway gene expression following androgen receptor (AR) antagonism of prostate cancer. Cancer Research. 78(13_Supplement). 944–944. 1 indexed citations
4.
Kach, Jacob, Tiha M. Long, Eva Tonsing-Carter, et al.. (2017). Selective Glucocorticoid Receptor Modulators (SGRMs) Delay Castrate-Resistant Prostate Cancer Growth. Molecular Cancer Therapeutics. 16(8). 1680–1692. 37 indexed citations
5.
West, Diana C., Deng Pan, Eva Tonsing-Carter, et al.. (2016). GR and ER Coactivation Alters the Expression of Differentiation Genes and Associates with Improved ER+ Breast Cancer Outcome. Molecular Cancer Research. 14(8). 707–719. 80 indexed citations
6.
Tonsing-Carter, Eva, Harlan E. Shannon, Barbara J. Bailey, Lindsey D. Mayo, & Karen E. Pollok. (2013). Abstract 4639: Blockade of MDM2-mediated signaling in context of DNA damage increases E2F1 expression and enhances cell death in triple-negative breast cancer cells.. Cancer Research. 73(8_Supplement). 4639–4639. 1 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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