Elizabeth Iorns

3.3k total citations · 2 hit papers
52 papers, 2.3k citations indexed

About

Elizabeth Iorns is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Elizabeth Iorns has authored 52 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Elizabeth Iorns's work include RNA modifications and cancer (7 papers), Cancer Cells and Metastasis (6 papers) and Cancer-related molecular mechanisms research (6 papers). Elizabeth Iorns is often cited by papers focused on RNA modifications and cancer (7 papers), Cancer Cells and Metastasis (6 papers) and Cancer-related molecular mechanisms research (6 papers). Elizabeth Iorns collaborates with scholars based in United States, United Kingdom and Netherlands. Elizabeth Iorns's co-authors include Nicholas C. Turner, Christopher J. Lord, Alan Ashworth, Andrew Tutt, Timothy M. Errington, Brian A. Nosek, Nicole Perfito, Jorge S. Reis‐Filho, Richard Elliott and Alan Mackay and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Nature Reviews Drug Discovery.

In The Last Decade

Elizabeth Iorns

49 papers receiving 2.2k citations

Hit Papers

FGFR1 Amplification Drive... 2010 2026 2015 2020 2010 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Iorns United States 19 1.5k 796 522 280 228 52 2.3k
Thomas Schlange Germany 21 1.4k 0.9× 536 0.7× 492 0.9× 201 0.7× 171 0.8× 32 2.7k
Martin Fenner Germany 25 1.1k 0.7× 370 0.5× 359 0.7× 361 1.3× 249 1.1× 198 2.2k
Laura Ponting United Kingdom 7 1.5k 1.0× 326 0.4× 593 1.1× 225 0.8× 365 1.6× 8 2.2k
Jason M. Sheltzer United States 22 1.4k 0.9× 433 0.5× 609 1.2× 164 0.6× 354 1.6× 35 2.7k
Jennifer A. Byrne Australia 31 1.5k 1.0× 540 0.7× 557 1.1× 280 1.0× 284 1.2× 114 2.9k
Olga Potapova United States 26 2.4k 1.6× 815 1.0× 554 1.1× 186 0.7× 220 1.0× 42 3.2k
Patrick R. Blackburn United States 19 923 0.6× 250 0.3× 235 0.5× 130 0.5× 328 1.4× 74 1.7k
Laura Bonetta United States 21 1.4k 0.9× 396 0.5× 138 0.3× 206 0.7× 282 1.2× 102 2.0k
Theodora Bloom United States 11 700 0.5× 759 1.0× 130 0.2× 75 0.3× 188 0.8× 26 1.4k
Peter Riegman Netherlands 31 1.9k 1.3× 513 0.6× 766 1.5× 924 3.3× 505 2.2× 70 3.8k

Countries citing papers authored by Elizabeth Iorns

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Iorns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Iorns

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

All Works

20 of 20 papers shown
1.
Errington, Timothy M., Maya B. Mathur, Courtney K. Soderberg, et al.. (2021). Investigating the replicability of preclinical cancer biology. eLife. 10. 170 indexed citations breakdown →
2.
Wang, Hongyan, Hanna S. Radomska, Mitch A. Phelps, et al.. (2020). Replication Study: Coding-independent regulation of the tumor suppressor PTEN by competing endogenous mRNAs. eLife. 9. 5 indexed citations
3.
4.
Chen, Biao, Yongli Shan, Huajun Yang, et al.. (2019). Replication Study: The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44. eLife. 8. 18 indexed citations
5.
Lewis, L. Michelle, Meredith Claire Edwards, C. Conover Talbot, et al.. (2018). Replication Study: Transcriptional amplification in tumor cells with elevated c-Myc. eLife. 7. 26 indexed citations
6.
Repass, John, Elizabeth Iorns, Alexandria Denis, et al.. (2018). Replication Study: Fusobacterium nucleatum infection is prevalent in human colorectal carcinoma. eLife. 7. 46 indexed citations
7.
Eaton, Kathryn A., Ali Pirani, Evan S. Snitkin, et al.. (2018). Replication Study: Intestinal inflammation targets cancer-inducing activity of the microbiota. eLife. 7. 11 indexed citations
8.
Maalouf, Samar, Elizabeth Iorns, Rachel Tsui, et al.. (2018). Replication Study: Systematic identification of genomic markers of drug sensitivity in cancer cells. eLife. 7. 18 indexed citations
9.
Fiehn, Oliver, Nicole Perfito, Kermit L. Carraway, et al.. (2013). Study 16: Replication of Ward et al., 2010 (Cancer Cell). OSF Preprints (OSF Preprints). 2 indexed citations
10.
Perfito, Nicole, Biao Chen, Huajun Yang, et al.. (2013). Study 28: Replication of Liu et al., 2011 (Nature Medicine). OSF Preprints (OSF Preprints). 1 indexed citations
11.
Perfito, Nicole, Stephen A. Williams, Timothy M. Errington, et al.. (2013). Study 50: Replication of Castellarin et al., 2012 (Genome Research). OSF Preprints (OSF Preprints). 1 indexed citations
12.
Perfito, Nicole, James Evans, Alexandria Denis, et al.. (2013). Study 9: Replication of Vermeulen et al., 2010 (Nature Cell Biology). OSF Preprints (OSF Preprints). 1 indexed citations
13.
Snitkin, Evan S., Nicole Perfito, Alexandria Denis, et al.. (2013). Study 41: Replication of Arthur et al., 2012 (Science). OSF Preprints (OSF Preprints). 1 indexed citations
14.
Tsui, Rachel, Alexandria Denis, Mitch A. Phelps, et al.. (2013). Study 24: Replication of Tay et al., 2011 (Cell). OSF Preprints (OSF Preprints). 1 indexed citations
15.
Iorns, Elizabeth, Ranjita Sengupta, Jeewon Kim, et al.. (2013). Study 42: Replication of Peinado et al., 2012 (Nature Medicine). OSF Preprints (OSF Preprints). 1 indexed citations
16.
Maalouf, Samar, Elizabeth Iorns, Rachel Tsui, et al.. (2013). Study 37: Replication of Garnett et al., 2012 (Nature). OSF Preprints (OSF Preprints). 1 indexed citations
17.
Jegg, Anna-Maria, Toby M. Ward, Elizabeth Iorns, et al.. (2012). PI3K independent activation of mTORC1 as a target in lapatinib-resistant ERBB2+ breast cancer cells. Breast Cancer Research and Treatment. 136(3). 683–692. 32 indexed citations
18.
Ward, Toby M., Elizabeth Iorns, Nicholas Hoe, et al.. (2012). Truncated p110 ERBB2 induces mammary epithelial cell migration, invasion and orthotopic xenograft formation, and is associated with loss of phosphorylated STAT5. Oncogene. 32(19). 2463–2474. 34 indexed citations
19.
Turner, Nicholas C., Alex Pearson, Rachel Sharpe, et al.. (2010). FGFR1 Amplification Drives Endocrine Therapy Resistance and Is a Therapeutic Target in Breast Cancer. Cancer Research. 70(5). 2085–2094. 544 indexed citations breakdown →
20.
Lord, Christopher J., Elizabeth Iorns, & Alan Ashworth. (2008). Dissecting resistance to endocrine therapy in breast cancer. Cell Cycle. 7(13). 1895–1898. 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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