Ellen L. Goode

28.4k total citations · 1 hit paper
148 papers, 6.0k citations indexed

About

Ellen L. Goode is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ellen L. Goode has authored 148 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 61 papers in Genetics and 56 papers in Cancer Research. Recurrent topics in Ellen L. Goode's work include Ovarian cancer diagnosis and treatment (47 papers), Cancer-related molecular mechanisms research (35 papers) and Genetic Associations and Epidemiology (30 papers). Ellen L. Goode is often cited by papers focused on Ovarian cancer diagnosis and treatment (47 papers), Cancer-related molecular mechanisms research (35 papers) and Genetic Associations and Epidemiology (30 papers). Ellen L. Goode collaborates with scholars based in United States, United Kingdom and Australia. Ellen L. Goode's co-authors include Cornelia M. Ulrich, John D. Potter, Kimberly R. Kalli, Lynn C. Hartmann, Keith L. Knutson, Julie M. Cunningham, Gail P. Jarvik, Brooke L. Fridley, Chen Wang and Robert A. Vierkant and has published in prestigious journals such as Journal of Clinical Oncology, Nature reviews. Cancer and The Journal of Immunology.

In The Last Decade

Ellen L. Goode

147 papers receiving 5.9k citations

Hit Papers

Polymorphisms in DNA repair genes and associations with c... 2002 2026 2010 2018 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ellen L. Goode United States 40 3.1k 1.7k 1.6k 1.4k 903 148 6.0k
Amir A. Jazaeri United States 34 2.6k 0.8× 2.3k 1.4× 1.8k 1.1× 858 0.6× 775 0.9× 169 5.7k
Johnathan M. Lancaster United States 34 2.7k 0.9× 1.2k 0.7× 1.6k 1.0× 1.1k 0.8× 1.3k 1.5× 98 5.4k
Yinhua Yu United States 42 3.8k 1.2× 1.2k 0.7× 1.1k 0.7× 790 0.6× 1.0k 1.2× 82 5.8k
Shigehira Saji Japan 39 2.3k 0.8× 3.9k 2.3× 1.8k 1.1× 2.3k 1.6× 308 0.3× 252 7.2k
Christina M. Annunziata United States 37 2.5k 0.8× 2.6k 1.6× 1.0k 0.6× 457 0.3× 1.1k 1.2× 155 5.4k
Carl Morrison United States 45 4.2k 1.4× 2.3k 1.4× 2.4k 1.5× 865 0.6× 272 0.3× 185 8.1k
Steffen Hauptmann Germany 42 2.1k 0.7× 1.4k 0.8× 1.0k 0.6× 523 0.4× 623 0.7× 111 4.9k
Seiji Mabuchi Japan 42 2.4k 0.8× 1.6k 1.0× 1.1k 0.7× 317 0.2× 1.5k 1.6× 192 5.7k
Aikou Okamoto Japan 36 4.4k 1.4× 1.9k 1.1× 3.1k 1.9× 347 0.3× 1.7k 1.8× 267 8.0k
Sacha J. Howell United Kingdom 35 1.7k 0.5× 2.1k 1.2× 1.0k 0.6× 886 0.6× 401 0.4× 146 4.4k

Countries citing papers authored by Ellen L. Goode

Since Specialization
Citations

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

Fields of papers citing papers by Ellen L. Goode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen L. Goode. 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 Ellen L. Goode. The network helps show where Ellen L. Goode may publish in the future.

Co-authorship network of co-authors of Ellen L. Goode

This figure shows the co-authorship network connecting the top 25 collaborators of Ellen L. Goode. A scholar is included among the top collaborators of Ellen L. Goode 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 Ellen L. Goode. Ellen L. Goode 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.
Na, Renhua, Kathryn Alsop, Ellen L. Goode, et al.. (2024). Risk Factors for Ovarian Cancer by BRCA Status: A Collaborative Case-Only Analysis. Cancer Epidemiology Biomarkers & Prevention. 33(4). 586–592. 2 indexed citations
2.
Zhang, Xianyang, et al.. (2023). Batch-effect correction with sample remeasurement in highly confounded case-control studies. Nature Computational Science. 3(8). 709–719. 4 indexed citations
3.
Nakamura, Koji, Brett M. Reid, Ann Chen, et al.. (2021). Functional analysis of the 1p34.3 risk locus implicates GNL2 in high-grade serous ovarian cancer. The American Journal of Human Genetics. 109(1). 116–135. 7 indexed citations
4.
Herschtal, Alan, Brad H. Nelson, Anna DeFazio, et al.. (2019). Going to extremes: determinants of extraordinary response and survival in patients with cancer. Nature reviews. Cancer. 19(6). 339–348. 24 indexed citations
5.
Liu, Yuanhang, Pritha Chanana, Jaime Davila, et al.. (2019). Gene expression differences between matched pairs of ovarian cancer patient tumors and patient-derived xenografts. Scientific Reports. 9(1). 6314–6314. 32 indexed citations
6.
Yang, Haitao, et al.. (2019). Testing Mediation Effects in High-Dimensional Epigenetic Studies. Frontiers in Genetics. 10. 1195–1195. 30 indexed citations
7.
Li, Qian, Janelle Noel‐MacDonnell, Devin C. Koestler, Ellen L. Goode, & Brooke L. Fridley. (2018). Subject level clustering using a negative binomial model for small transcriptomic studies. BMC Bioinformatics. 19(1). 474–474. 6 indexed citations
8.
Wang, Chen, Sebastian M. Armasu, Kimberly R. Kalli, et al.. (2017). Pooled Clustering of High-Grade Serous Ovarian Cancer Gene Expression Leads to Novel Consensus Subtypes Associated with Survival and Surgical Outcomes. Clinical Cancer Research. 23(15). 4077–4085. 65 indexed citations
9.
Lamichhane, Purushottam, Lavakumar Karyampudi, Barath Shreeder, et al.. (2017). IL10 Release upon PD-1 Blockade Sustains Immunosuppression in Ovarian Cancer. Cancer Research. 77(23). 6667–6678. 122 indexed citations
10.
Tóth, Réka, Dominique Scherer, Linda E. Kelemen, et al.. (2017). Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium. Cancer Epidemiology Biomarkers & Prevention. 26(6). 816–825. 11 indexed citations
11.
Way, Gregory P., Chen Wang, Habib Hamidi, et al.. (2016). Comprehensive Cross-Population Analysis of High-Grade Serous Ovarian Cancer Supports No More Than Three Subtypes. G3 Genes Genomes Genetics. 6(12). 4097–4103. 26 indexed citations
12.
Raghavan, Rama, Stephen Hyter, Harsh B. Pathak, et al.. (2016). Drug discovery using clinical outcome-based Connectivity Mapping: application to ovarian cancer. BMC Genomics. 17(1). 811–811. 21 indexed citations
13.
Karyampudi, Lavakumar, Purushottam Lamichhane, James Krempski, et al.. (2015). PD-1 Blunts the Function of Ovarian Tumor–Infiltrating Dendritic Cells by Inactivating NF-κB. Cancer Research. 76(2). 239–250. 86 indexed citations
14.
Hendrickson, Andrea E. Wahner, Kieran Hawthorne, Ellen L. Goode, et al.. (2015). Assessment of published models and prognostic variables in epithelial ovarian cancer at Mayo Clinic. Gynecologic Oncology. 137(1). 77–85. 16 indexed citations
15.
Cicek, Mine S., Matthew J. Maurer, & Ellen L. Goode. (2013). Survival Prediction Based on Inherited Gene Variation Analysis. Methods in molecular biology. 1049. 53–64. 1 indexed citations
16.
Stevens, Kristen N., Linda E. Kelemen, Xianshu Wang, et al.. (2012). Common Variation in Nemo-Like Kinase Is Associated with Risk of Ovarian Cancer. Cancer Epidemiology Biomarkers & Prevention. 21(3). 523–528. 8 indexed citations
17.
Kelemen, Linda E., Thomas A. Sellers, Joellen M. Schildkraut, et al.. (2008). Genetic Variation in the One-Carbon Transfer Pathway and Ovarian Cancer Risk. Cancer Research. 68(7). 2498–2506. 50 indexed citations
18.
Atkinson, Elizabeth J., Brooke L. Fridley, Ellen L. Goode, et al.. (2007). Linkage analysis using principal components of gene expression data. BMC Proceedings. 1(S1). S79–S79. 1 indexed citations
19.
Potter, John D., Ellen L. Goode, & Libby M. Morimoto. (2003). AACR Special Conference. Cancer Epidemiology and Prevention Biomarkers. 12(8). 803–805. 1 indexed citations
20.
Saccone, Nancy L., Ellen L. Goode, & Andrew W. Bergen. (2003). Genetic analysis workshop 13: Summary of analyses of alcohol and cigarette use phenotypes in the Framingham Heart Study. Genetic Epidemiology. 25(S1). S90–S97. 5 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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