DA Berry

1.0k citations
7 papers · 691 · 1 hit paper · h-index 5

Impact in

Papers in

    • Breast Cancer Treatment Studies 3
    • Cancer Genomics and Diagnostics 3
    • Cancer Treatment and Pharmacology 2
    • Cancer Immunotherapy and Biomarkers 1

DA Berry

7 papers receiving 658 citations

DA Berry's Hit Papers

I-SPY 2: An Adaptive Breast Cancer Trial Design in the Setting of Neoadjuvant Chemotherapy 2009 · 534 citations
5340+5+11Years since publication100200300400500

Peers

DA Berry
Comparison fields: 5 of 72
  • Statistics and Probability 224
  • Cancer Research 283
  • Oncology 183
  • Management Science and Operations Research 55
  • Economics and Econometrics 92
Replace L. Esserman with:
L. Esserman United States
NM Hylton United States
Jianchang Lin United States
M N Chang United States
Martin Jenkins United Kingdom
D. A. Berry United States
Lindsay A. Renfro United States
Nolan A. Wages United States
Veronica Bunn United States
Kourosh Parivar United States
DA Berry relative to L. Esserman United States L. Esserman's profile →
Citations per field
00.5×1.5×
L. Esserman · 1×
Citations per year

Countries citing papers authored by DA Berry

Since Specialization
Citations

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

Fields of papers citing papers by DA Berry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside DA Berry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with DA Berry Line = papers co-authored together DA Berry links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
I-SPY 2: An Adaptive Breast Cancer Trial Design in the Setting of Neoadjuvant Chemotherapy
Hit paper breakdown →
2009534
2 201658
3 201339
4 201535
5 201523
6 20171
7 20171

About DA Berry

DA Berry is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Economics and Econometrics and Statistics and Probability, having authored 7 papers that have together received 691 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Statistical Methods in Clinical Trials (2 papers), Cancer Treatment and Pharmacology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genomics and Rare Diseases (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Statistics and Probability (224 citations), Cancer Research (283 citations), Oncology (183 citations), Management Science and Operations Research (55 citations) and Economics and Econometrics (92 citations). DA Berry has collaborated with scholars based in United States. Frequent co-authors include NM Hylton, L. Esserman, Kelloff Gj, Mehra Golshan, LA Carey, George Somlo, EP Winer, Bhupender Singh, Deborah Collyar and August J. Salvado. Their work appears in journals such as Cancer Research and Clinical Pharmacology & Therapeutics.

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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