Theodore C. Goldstein

8.5k total citations
19 papers, 394 citations indexed

About

Theodore C. Goldstein is a scholar working on Cancer Research, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Theodore C. Goldstein has authored 19 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Theodore C. Goldstein's work include Cancer Genomics and Diagnostics (4 papers), Bioinformatics and Genomic Networks (3 papers) and Ethics in Clinical Research (3 papers). Theodore C. Goldstein is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Bioinformatics and Genomic Networks (3 papers) and Ethics in Clinical Research (3 papers). Theodore C. Goldstein collaborates with scholars based in United States, Canada and Spain. Theodore C. Goldstein's co-authors include David Haussler, Atul J. Butte, Joshua M. Stuart, Marina Sirota, Laura van ‘t Veer, Denise M. Wolf, Christina Yau, Bin Chen, Dvir Aran and Katharine Yu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Theodore C. Goldstein

19 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theodore C. Goldstein United States 9 212 129 66 57 46 19 394
Ammar Ammar Netherlands 7 357 1.7× 92 0.7× 52 0.8× 38 0.7× 57 1.2× 19 621
Jinlu Liu China 14 175 0.8× 77 0.6× 74 1.1× 86 1.5× 108 2.3× 32 552
Yue Fan China 12 251 1.2× 71 0.6× 73 1.1× 56 1.0× 54 1.2× 35 484
Michelle T. Dow United States 9 157 0.7× 109 0.8× 42 0.6× 55 1.0× 24 0.5× 12 367
Buğra Özer Türkiye 8 237 1.1× 49 0.4× 58 0.9× 44 0.8× 30 0.7× 16 346
Jon Mangion United Kingdom 5 241 1.1× 69 0.5× 67 1.0× 31 0.5× 20 0.4× 6 516
Stuart Bailey United States 11 147 0.7× 56 0.4× 41 0.6× 59 1.0× 47 1.0× 15 524
Dieter Maier Spain 8 341 1.6× 50 0.4× 27 0.4× 31 0.5× 47 1.0× 12 523
Serena G. Liao United States 9 243 1.1× 125 1.0× 130 2.0× 48 0.8× 94 2.0× 19 526
Panagiotis Karras Belgium 14 258 1.2× 69 0.5× 90 1.4× 135 2.4× 41 0.9× 25 523

Countries citing papers authored by Theodore C. Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Theodore C. Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theodore C. Goldstein. 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 Theodore C. Goldstein. The network helps show where Theodore C. Goldstein may publish in the future.

Co-authorship network of co-authors of Theodore C. Goldstein

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

All Works

19 of 19 papers shown
1.
Goldstein, Theodore C., et al.. (2021). MAgEC: Using Non-Homogeneous Ensemble Consensus for Predicting Drivers in Unexpected Mechanical Ventilation.. PubMed. 2021. 238–247. 1 indexed citations
2.
Norgeot, Beau, Benjamin S. Glicksberg, Boris Oskotsky, et al.. (2020). Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes. npj Digital Medicine. 3(1). 57–57. 61 indexed citations
3.
Veena, Mysore S., Santanu Raychaudhuri, Saroj K. Basak, et al.. (2020). Dysregulation of hsa-miR-34a and hsa-miR-449a leads to overexpression of PACS-1 and loss of DNA damage response (DDR) in cervical cancer. Journal of Biological Chemistry. 295(50). 17169–17186. 22 indexed citations
4.
Yu, Katharine, Bin Chen, Dvir Aran, et al.. (2019). Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types. Nature Communications. 10(1). 3574–3574. 101 indexed citations
5.
Glicksberg, Benjamin S., Robert Currie, A. Clark Griffin, et al.. (2019). Blockchain-Authenticated Sharing of Genomic and Clinical Outcomes Data of Patients With Cancer: A Prospective Cohort Study. Journal of Medical Internet Research. 22(3). e16810–e16810. 30 indexed citations
6.
Learned, Katrina, Ann Durbin, Robert Currie, et al.. (2019). Barriers to accessing public cancer genomic data. Scientific Data. 6(1). 98–98. 18 indexed citations
7.
Kim, Won Bae, Eric J. Small, Rahul Aggarwal, et al.. (2018). Luminal and basal subtyping of metastatic castration-resistant prostate cancer (mCRPC) and its clinical implications.. Journal of Clinical Oncology. 36(6_suppl). 197–197. 2 indexed citations
8.
Newton, Yulia, Adam M. Novak, Teresa Swatloski, et al.. (2017). TumorMap: Exploring the Molecular Similarities of Cancer Samples in an Interactive Portal. Cancer Research. 77(21). e111–e114. 41 indexed citations
9.
Learned, Katrina, Ann Durbin, Robert Currie, et al.. (2017). Abstract LB-338: A critical evaluation of genomic data sharing: Barriers to accessing pediatric cancer genomic datasets: a Treehouse Childhood Cancer Initiative experience. Cancer Research. 77(13_Supplement). LB–338. 2 indexed citations
10.
Datta, Debajyoti, Theodore C. Goldstein, Zhiping Gu, & Atul J. Butte. (2017). Abstract LB-006: Oncology model fidelity scores. Cancer Research. 77(13_Supplement). LB–6. 1 indexed citations
11.
12.
Aggarwal, Rahul, Jack Youngren, Artem Sokolov, et al.. (2016). Persistence of AR signaling in small cell neuroendocrine prostate cancer (SCNC) and intermediate atypical carcinoma (IAC): Results from the SU2C/PCF/AACR West Coast Prostate Cancer Dream Team (WCDT).. Journal of Clinical Oncology. 34(15_suppl). 5045–5045. 3 indexed citations
13.
Goldstein, Theodore C., Evan Paull, Matthew J. Ellis, & Joshua M. Stuart. (2013). Molecular Pathways: Extracting Medical Knowledge from High-Throughput Genomic Data. Clinical Cancer Research. 19(12). 3114–3120. 11 indexed citations
14.
Ellis, Matthew J., Jingqin Luo, Vera J. Suman, et al.. (2012). Whole genome sequencing to characterize luminal-type breast cancer.. Journal of Clinical Oncology. 30(15_suppl). 503–503. 2 indexed citations
15.
Ng, Sam, Artem Sokolov, Theodore C. Goldstein, et al.. (2012). PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis. Bioinformatics. 28(18). i640–i646. 70 indexed citations
16.
Lewis, Brian T. R., L. Peter Deutsch, & Theodore C. Goldstein. (1995). Clarity MCode. 119–128. 5 indexed citations
17.
Goldstein, Theodore C., et al.. (1994). The Object Binary Interface--C++ Objects for Evolvable Shared Class Libraries. Cork Open Research Archive (University College Cork). 27(4). 1–1. 8 indexed citations
18.
Goldstein, Theodore C.. (1993). Supporting the evolution of class definitions. 103–105. 1 indexed citations
19.
Rubin, Kenneth S., Patricia M. Jones, Christine Mitchell, & Theodore C. Goldstein. (1988). A smalltalk implementation of an intelligent operator's associate. 234–247. 2 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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