Teri Oldaker

1.5k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Teri Oldaker is a scholar working on Molecular Biology, Cancer Research and Biophysics. According to data from OpenAlex, Teri Oldaker has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Biophysics. Recurrent topics in Teri Oldaker's work include Single-cell and spatial transcriptomics (10 papers), Cancer Genomics and Diagnostics (7 papers) and Cell Image Analysis Techniques (6 papers). Teri Oldaker is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Cancer Genomics and Diagnostics (7 papers) and Cell Image Analysis Techniques (6 papers). Teri Oldaker collaborates with scholars based in United States, United Kingdom and Switzerland. Teri Oldaker's co-authors include Gary M. Clark, George Pounds, William McGuire, Marilyn A. Owens, Lynn G. Dressler, David Barnett, Brent L. Wood, Paul K. Wallace, Bruce Greig and Douglas S. Harrington and has published in prestigious journals such as New England Journal of Medicine, Cancer and Breast Cancer Research and Treatment.

In The Last Decade

Teri Oldaker

18 papers receiving 1.1k citations

Hit Papers

Prediction of Relapse or Survival in Patients with Node-N... 1989 2026 2001 2013 1989 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Prediction of Relapse or Survival in Patients with Node-Negative Breast Cancer by DNA Flow Cytometry
    1989 466 citations Gary M. Clark, Lynn G. Dressler et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teri Oldaker United States 12 515 460 363 302 170 18 1.1k
Soili Kytölä Finland 26 299 0.6× 725 1.6× 501 1.4× 255 0.8× 102 0.6× 58 1.7k
Sancha Martin United Kingdom 5 506 1.0× 336 0.7× 620 1.7× 129 0.4× 150 0.9× 8 1.2k
L. G. Dressler United States 17 541 1.1× 595 1.3× 215 0.6× 223 0.7× 103 0.6× 32 1.2k
Fabienne Hermitte France 11 357 0.7× 550 1.2× 433 1.2× 132 0.4× 310 1.8× 32 1.1k
E. Lin United States 20 270 0.5× 590 1.3× 518 1.4× 304 1.0× 92 0.5× 47 1.7k
Luiza Moore United Kingdom 15 574 1.1× 220 0.5× 641 1.8× 157 0.5× 224 1.3× 24 1.4k
Marbin Pineda United States 22 445 0.9× 396 0.9× 965 2.7× 224 0.7× 68 0.4× 31 1.7k
Neerav Shukla United States 21 395 0.8× 519 1.1× 906 2.5× 261 0.9× 211 1.2× 78 1.7k
Robyn Temple‐Smolkin United States 13 717 1.4× 519 1.1× 406 1.1× 471 1.6× 89 0.5× 22 1.4k
Zhenya Tang United States 20 177 0.3× 335 0.7× 375 1.0× 280 0.9× 456 2.7× 111 1.2k

Countries citing papers authored by Teri Oldaker

Since Specialization
Citations

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

Fields of papers citing papers by Teri Oldaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teri Oldaker

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

All Works

18 of 18 papers shown
1.
Oldaker, Teri, et al.. (2023). Summary of validation considerations with real‐life examples using both qualitative and semiquantitative flow cytometry assays. Cytometry Part B Clinical Cytometry. 104(5). 374–391. 7 indexed citations
2.
Selliah, Nithianandan, Steven Eck, Cherie Green, et al.. (2023). Flow Cytometry Method Validation Protocols. Current Protocols. 3(8). e868–e868. 9 indexed citations
3.
Cabanski, Maciej, Teri Oldaker, Jennifer J. Stewart, et al.. (2020). Flow cytometric method transfer: Recommendations for best practice. Cytometry Part B Clinical Cytometry. 100(1). 52–62. 10 indexed citations
4.
Sommer, Ülrike, Steven Eck, Jennifer J. Stewart, et al.. (2020). High‐sensitivity flow cytometric assays: Considerations for design control and analytical validation for identification of Rare events. Cytometry Part B Clinical Cytometry. 100(1). 42–51. 31 indexed citations
5.
Selliah, Nithianandan, Steven Eck, Cherie Green, et al.. (2018). Flow Cytometry Method Validation Protocols. Current Protocols in Cytometry. 87(1). e53–e53. 55 indexed citations
6.
7.
Oldaker, Teri, Paul K. Wallace, & David Barnett. (2015). Flow cytometry quality requirements for monitoring of minimal disease in plasma cell myeloma. Cytometry Part B Clinical Cytometry. 90(1). 40–46. 19 indexed citations
8.
Davis, Bruce H., Brent L. Wood, Teri Oldaker, & David Barnett. (2013). Validation of cell‐based fluorescence assays: Practice guidelines from the ICSH and ICCS – part I – rationale and aims. Cytometry Part B Clinical Cytometry. 84(5). 282–285. 45 indexed citations
9.
Barnett, David, et al.. (2013). Validation of cell‐based fluorescence assays: Practice guidelines from the ICSH and ICCS – part IV – postanalytic considerations. Cytometry Part B Clinical Cytometry. 84(5). 309–314. 41 indexed citations
10.
Oldaker, Teri. (2007). Quality Control in Clinical Flow Cytometry. Clinics in Laboratory Medicine. 27(3). 671–685. 11 indexed citations
11.
12.
13.
Carey, John L. & Teri Oldaker. (2007). More than Just Quality Control. Clinics in Laboratory Medicine. 27(3). 687–707. 6 indexed citations
14.
Samoszuk, Michael, et al.. (1996). Association between flow cytometric S-phase fraction and apoptotic rate in breast cancer. Cytometry. 26(4). 281–285. 8 indexed citations
15.
Wenger, Charlotte R., Marilyn A. Owens, George Pounds, et al.. (1993). DNA ploidy, S-phase, and steroid receptors in more than 127,000 breast cancer patients. Breast Cancer Research and Treatment. 28(1). 9–20. 123 indexed citations
16.
Clark, Gary M., Charlotte R. Wenger, Marilyn A. Owens, et al.. (1993). How to integrate steroid hormone receptor, flow cytometric, and other prognostic information in regard to primary breast cancer. Cancer. 71(S6). 2157–2162. 65 indexed citations
17.
Hilsenbeck, Susan G., Charlotte R. Wenger, George Pounds, et al.. (1992). Making the most of your prognostic factors: Presenting a more accurate survival model for breast cancer patients. Breast Cancer Research and Treatment. 22(3). 251–262. 7 indexed citations
18.
Clark, Gary M., Lynn G. Dressler, Marilyn A. Owens, et al.. (1989). Prediction of Relapse or Survival in Patients with Node-Negative Breast Cancer by DNA Flow Cytometry. New England Journal of Medicine. 320(10). 627–633. 466 indexed citations breakdown →

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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