Taylor E. Arnoff
Impact in
-
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- Wafik S. El‐Deiry (6 shared papers)Sydney Gang (2 shared papers)Rand Arafeh (2 shared papers)William C. Hahn (2 shared papers)Saud H. AlDubayan (1 shared paper)Camden Richter (1 shared paper)Justin H. Hwang (1 shared paper)Jett Crowdis (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)Plant Signaling & Behavior (1 paper)Frontiers in Molecular Biosciences (1 paper)Nature (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Taylor E. Arnoff
9 papers receiving 369 citations
Taylor E. Arnoff's Hit Papers
Peers
Comparison fields: 5 of 72
- Health Informatics 7
- Cancer Research 49
- Biophysics 19
- Oncology 67
- Molecular Biology 160
Countries citing papers authored by Taylor E. Arnoff
This map shows the geographic impact of Taylor E. Arnoff'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 Taylor E. Arnoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor E. Arnoff more than expected).
Fields of papers citing papers by Taylor E. Arnoff
This network shows the impact of papers produced by Taylor E. Arnoff. 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 Taylor E. Arnoff. The network helps show where Taylor E. Arnoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Taylor E. Arnoff, 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 | Biologically informed deep neural network for prostate cancer discovery Hit paper breakdown → | 2021 | 265 |
| 2 | 2023 | 52 | |
| 3 | MDM2/MDM4 amplification and CDKN2A deletion in metastatic melanoma and glioblastoma multiforme may have implications for targeted therapeutics and immunotherapy. | 2022 | 22 |
| 4 | 2022 | 17 | |
| 5 | 2016 | 6 | |
| 6 | CDKN1A/p21WAF1, RB1, ARID1A, FLG, and HRNR mutation patterns provide insights into urinary tract environmental exposure carcinogenesis and potential treatment strategies. | 2021 | 6 |
| 7 | 2022 | 4 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2024 | 0 |
About Taylor E. Arnoff
Taylor E. Arnoff is a scholar working on Oncology, Surgery, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 374 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (3 papers), Cancer-related Molecular Pathways (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Vitamin C and Antioxidants Research (1 paper), Plant-Microbe Interactions and Immunity (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Health Informatics (7 citations), Cancer Research (49 citations), Biophysics (19 citations), Oncology (67 citations) and Molecular Biology (160 citations). Taylor E. Arnoff has collaborated with scholars based in United States and Egypt. Frequent co-authors include Wafik S. El‐Deiry, Sydney Gang, Rand Arafeh, William C. Hahn, Saud H. AlDubayan, Camden Richter, Justin H. Hwang, Jett Crowdis, Eliezer M. Van Allen and Steven Kregel. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Plant Signaling & Behavior, Frontiers in Molecular Biosciences and Nature.
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.