Kim L. O’Neill
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 5%
- Health, Toxicology and Mutagenesis top 2%
- Plant Science top 5%
- Co-authors
- Daryl W. FairbairnPeggy L. OliveRichard A. RobisonMichelle H. TownsendByron K. MurrayFrederick L. HallM TorresAndrew Garrett
- Topics
- Chronic Lymphocytic Leukemia Research (16 papers)Carcinogens and Genotoxicity Assessment (16 papers)Neuroendocrine Tumor Research Advances (12 papers)
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
Kim L. O’Neill
127 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 1.7k
- Cancer Research 1.2k
- Oncology 650
- Health, Toxicology and Mutagenesis 609
- Plant Science 546
Countries citing papers authored by Kim L. O’Neill
This map shows the geographic impact of Kim L. O’Neill'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 Kim L. O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim L. O’Neill more than expected).
Fields of papers citing papers by Kim L. O’Neill
This network shows the impact of papers produced by Kim L. O’Neill. 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 Kim L. O’Neill. The network helps show where Kim L. O’Neill may publish in the future.
Co-authorship network of co-authors of Kim L. O’Neill
This figure shows the co-authorship network connecting the top 25 collaborators of Kim L. O’Neill. A scholar is included among the top collaborators of Kim L. O’Neill 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 Kim L. O’Neill. Kim L. O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 82 | |
| 7 | 53 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 16 | |
| 13 | Tannic acid derivatives display anti-angiogenic properties in human breast cancer cells by interfering with CXCR4/SDF-1 interactions | 2 |
| 14 | Development of a novel human vestibular schwannoma xenograft model in SCID mice | 1 |
| 15 | Tannic acid prevents angiogenesis in vivo by inhibiting CXCR4/SDF-1 alpha binding in breast cancer cells | 4 |
| 16 | 16 | |
| 17 | 54 | |
| 18 | 26 | |
| 19 | 7 | |
| 20 | 48 |
About Kim L. O’Neill
Kim L. O’Neill is a scholar working on Genetics, Oncology and Biochemistry, having authored 129 papers that have together received 4.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (16 papers), Carcinogens and Genotoxicity Assessment (16 papers) and Neuroendocrine Tumor Research Advances (12 papers). The work is most often cited by research in Cancer Research (1.2k citations), Health, Toxicology and Mutagenesis (609 citations) and Chemical Health and Safety (23 citations). Kim L. O’Neill has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Daryl W. Fairbairn, Peggy L. Olive, Richard A. Robison, Michelle H. Townsend, Byron K. Murray, Frederick L. Hall, M Torres, Andrew Garrett, David P. Tomer and Gajendra Shrestha. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.
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.