Elena J. Edelman

7.5k total citations · 1 hit paper
8 papers, 2.9k citations indexed

About

Elena J. Edelman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elena J. Edelman has authored 8 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elena J. Edelman's work include Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers) and Cancer Genomics and Diagnostics (2 papers). Elena J. Edelman is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers) and Cancer Genomics and Diagnostics (2 papers). Elena J. Edelman collaborates with scholars based in United States, United Kingdom and Spain. Elena J. Edelman's co-authors include Sridhar Ramaswamy, Daniel A. Haber, P. Andrew Futreal, Nidhi Bindal, I. Richard Thompson, Mathew J. Garnett, Simon Forbes, Patricia Greninger, Wanjuan Yang and Howard Lightfoot and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and Bioinformatics.

In The Last Decade

Elena J. Edelman

8 papers receiving 2.8k citations

Hit Papers

Genomics of Drug Sensitivity in Cancer (GDSC): a resource... 2012 2026 2016 2021 2012 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena J. Edelman United States 7 2.0k 915 914 719 526 8 2.9k
Wanjuan Yang United Kingdom 5 2.0k 1.0× 931 1.0× 910 1.0× 716 1.0× 529 1.0× 7 2.8k
I. Richard Thompson Qatar 7 1.9k 0.9× 886 1.0× 899 1.0× 675 0.9× 494 0.9× 24 2.7k
Paul Geeleher United States 14 1.9k 0.9× 1.2k 1.3× 1.3k 1.5× 683 0.9× 218 0.4× 24 2.8k
Catharina Olsen Belgium 13 2.5k 1.2× 1.4k 1.5× 965 1.1× 845 1.2× 179 0.3× 43 3.6k
Martin L. Sos Germany 19 2.2k 1.1× 456 0.5× 995 1.1× 1.3k 1.8× 207 0.4× 34 3.2k
Vasudeva Mahavisno United States 7 2.0k 1.0× 598 0.7× 566 0.6× 573 0.8× 137 0.3× 8 2.5k
Andrea Bild United States 9 1.9k 1.0× 791 0.9× 429 0.5× 710 1.0× 141 0.3× 25 2.7k
David Tamborero Spain 29 2.0k 1.0× 1.3k 1.5× 494 0.5× 511 0.7× 160 0.3× 62 4.5k
Claudia Cava Italy 22 2.9k 1.4× 2.0k 2.2× 929 1.0× 821 1.1× 165 0.3× 64 4.2k
Michele Sue‐Ann Woo United States 9 1.9k 0.9× 388 0.4× 1.5k 1.7× 1.7k 2.3× 212 0.4× 17 3.1k

Countries citing papers authored by Elena J. Edelman

Since Specialization
Citations

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

Fields of papers citing papers by Elena J. Edelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena J. Edelman. 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 Elena J. Edelman. The network helps show where Elena J. Edelman may publish in the future.

Co-authorship network of co-authors of Elena J. Edelman

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

All Works

8 of 8 papers shown
1.
Chen, Eleanor Y., Kimberly P. Dobrinski, Kim H. Brown, et al.. (2013). Cross-Species Array Comparative Genomic Hybridization Identifies Novel Oncogenic Events in Zebrafish and Human Embryonal Rhabdomyosarcoma. PLoS Genetics. 9(8). e1003727–e1003727. 27 indexed citations
2.
Yang, Wanjuan, Jorge Soares, Patricia Greninger, et al.. (2013). Abstract 2206: Genomics of Drug Sensitivity in Cancer (GDSC): A resource for therapeutic biomarker discovery in cancer cells.. Cancer Research. 73(8_Supplement). 2206–2206. 7 indexed citations
3.
Yang, Wanjuan, Jorge Soares, Patricia Greninger, et al.. (2012). Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Research. 41(D1). D955–D961. 2597 indexed citations breakdown →
4.
Garnett, Mathew J., Elena J. Edelman, PA Futreal, et al.. (2012). 35 The Genomics of Drug Sensitivity in Cancer. European Journal of Cancer. 48. S8–S8. 1 indexed citations
5.
Takahashi, Fuminori, Naokazu Chiba, Ken Tajima, et al.. (2011). Breast tumor progression induced by loss of BTG2 expression is inhibited by targeted therapy with the ErbB/HER inhibitor lapatinib. Oncogene. 30(27). 3084–3095. 50 indexed citations
6.
Smolen, Gromoslaw A., Jianmin Zhang, Matthew Zubrowski, et al.. (2010). A genome-wide RNAi screen identifies multiple RSK-dependent regulators of cell migration. Genes & Development. 24(23). 2654–2665. 74 indexed citations
7.
Edelman, Elena J., Justin Guinney, Jen‐Tsan Chi, Phillip G. Febbo, & Sayan Mukherjee. (2008). Modeling Cancer Progression via Pathway Dependencies. PLoS Computational Biology. 4(2). e28–e28. 49 indexed citations
8.
Edelman, Elena J., Alessandro Porrello, Justin Guinney, et al.. (2006). Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles. Bioinformatics. 22(14). e108–e116. 53 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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