Ivan King
Impact in
- Biotechnology top 0.2%
- Cancer Research and Treatments
- Genetics top 5%
- Virus-based gene therapy research
Papers in ⓘ
-
- Cancer Research and Treatments 13
- Co-authors
- David Bermudes (11 shared papers)Li-Mou Zheng (8 shared papers)Stanley L. Lin (6 shared papers)Martina Ittensohn (5 shared papers)Mario Sznol (3 shared papers)Trung Bao Le (4 shared papers)Xiang Luo (4 shared papers)K. Brooks Low (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Clinical Cancer Research (2 papers)Leukemia Research (2 papers)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Ivan King
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 88
- Biotechnology 1.1k
- Genetics 601
- Biomedical Engineering 730
- Ecology 235
- Endocrinology 45
Countries citing papers authored by Ivan King
This map shows the geographic impact of Ivan King'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 Ivan King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan King more than expected).
Fields of papers citing papers by Ivan King
This network shows the impact of papers produced by Ivan King. 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 Ivan King. The network helps show where Ivan King may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 407 | |
| 2 | 2000 | 139 | |
| 3 | 2005 | 137 | |
| 4 | 2002 | 101 | |
| 5 | 2001 | 94 | |
| 6 | 2004 | 82 | |
| 7 | 2008 | 76 | |
| 8 | 2001 | 74 | |
| 9 | 2001 | 59 | |
| 10 | 2000 | 59 | |
| 11 | Live bacteria as anticancer agents and tumor-selective protein delivery vectors. | 2002 | 50 |
| 12 | 2006 | 41 | |
| 13 | 1994 | 41 | |
| 14 | 1986 | 38 | |
| 15 | 1986 | 33 | |
| 16 | 2009 | 21 | |
| 17 | 2000 | 20 | |
| 18 | 1996 | 19 | |
| 19 | 1998 | 16 | |
| 20 | 2001 | 16 |
About Ivan King
Ivan King is a scholar working on Biotechnology, Pharmaceutical Science, Virology, Oncology and Molecular Biology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Research and Treatments (13 papers), Nanoplatforms for cancer theranostics (8 papers), Virus-based gene therapy research (6 papers), RNA Interference and Gene Delivery (4 papers), Cancer therapeutics and mechanisms (4 papers), Glycosylation and Glycoproteins Research (4 papers), HIV/AIDS drug development and treatment (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Biotechnology (1.1k citations), Genetics (601 citations), Biomedical Engineering (730 citations), Ecology (235 citations) and Endocrinology (45 citations). Ivan King has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David Bermudes, Li-Mou Zheng, Stanley L. Lin, Martina Ittensohn, Mario Sznol, Trung Bao Le, Xiang Luo, K. Brooks Low, John M. Pawelek and Alan C. Sartorelli. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Clinical Cancer Research, Leukemia Research, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics and Journal of Clinical Oncology.
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.