Teri Oldaker
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 10%
- HER2/EGFR in Cancer Research
Papers in
-
- Single-cell and spatial transcriptomics 10
-
- Cancer Genomics and Diagnostics 7
- Breast Cancer Treatment Studies 3
- Co-authors
- George Pounds (4 shared papers)Gary M. Clark (4 shared papers)William McGuire (3 shared papers)Marilyn A. Owens (3 shared papers)Lynn G. Dressler (1 shared paper)David Barnett (4 shared papers)Brent L. Wood (2 shared papers)Paul K. Wallace (3 shared papers)
- Journals
- Cytometry Part B Clinical Cytometry (9 papers)Breast Cancer Research and Treatment (2 papers)Current Protocols in Cytometry (1 paper)New England Journal of Medicine (1 paper)Cancer (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Teri Oldaker
18 papers receiving 1.1k citations
Teri Oldaker's Hit Papers
Peers
Comparison fields: 5 of 76
- Cancer Research 468
- Oncology 389
- Pathology and Forensic Medicine 240
- Hematology 145
- Genetics 90
Countries citing papers authored by Teri Oldaker
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
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-authors
The 25 scholars most cited alongside Teri Oldaker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of Relapse or Survival in Patients with Node-Negative Breast Cancer by DNA Flow Cytometry Hit paper breakdown → | 1989 | 488 |
| 2 | 2007 | 184 | |
| 3 | 1993 | 139 | |
| 4 | 1993 | 67 | |
| 5 | 2018 | 56 | |
| 6 | 2013 | 46 | |
| 7 | 2013 | 42 | |
| 8 | 2020 | 34 | |
| 9 | 2007 | 32 | |
| 10 | 2017 | 23 | |
| 11 | 2015 | 20 | |
| 12 | 2007 | 13 | |
| 13 | 2023 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 1992 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 1996 | 8 | |
| 18 | 2007 | 6 |
About Teri Oldaker
Teri Oldaker is a scholar working on Molecular Biology, Cancer Research, Biophysics, Pathology and Forensic Medicine and Oncology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Cancer Genomics and Diagnostics (7 papers), Cell Image Analysis Techniques (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Breast Cancer Treatment Studies (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Statistical Methods in Clinical Trials (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Cancer Research (468 citations), Oncology (389 citations), Pathology and Forensic Medicine (240 citations), Hematology (145 citations) and Genetics (90 citations). Teri Oldaker has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include George Pounds, Gary M. Clark, William McGuire, Marilyn A. Owens, Lynn G. Dressler, David Barnett, Brent L. Wood, Paul K. Wallace, Bruce Greig and M.R. Pandian. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Breast Cancer Research and Treatment, Current Protocols in Cytometry, New England Journal of Medicine and Cancer.
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.