Ivan King

2.1k citations
40 papers · 1.6k · h-index 18

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • RNA Interference and Gene Delivery 4
    • Cancer therapeutics and mechanisms 4
    • Retinoids in leukemia and cellular processes 3
    • Cancer Research and Treatments 13

Ivan King

38 papers receiving 1.6k citations

Peers

Ivan King
Comparison fields: 5 of 88
  • Biotechnology 1.1k
  • Genetics 571
  • Biomedical Engineering 690
  • Endocrinology 45
  • Ecology 228
Replace P. Turner with:
P. Turner United States
M. Gabriela Kramer Spain
Hui Cai China
Mark Vasser United States
Jari Helin Finland
Bennett Kaufman United States
Nicholas J. Harmer United Kingdom
Ulf Gerth Germany
Vered Padler‐Karavani Israel
Surinder M. Singh United States
Ivan King relative to P. Turner United States P. Turner's profile →
Citations per field
00.5×10×13.7×
P. Turner · 1×
Citations per year

Countries citing papers authored by Ivan King

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999411
2 2000140
3 2005138
4 2002101
5 200195
6 200484
7 200876
8 200174
9 200059
10 200159
11
Live bacteria as anticancer agents and tumor-selective protein delivery vectors.
200251
12 200641
13 199441
14 198638
15 198633
16 200921
17 200020
18 199619
19 199817
20 200116

About Ivan King

Ivan King is a scholar working on Molecular Biology, Biotechnology, Oncology, Biomedical Engineering and Infectious Diseases, having authored 40 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 (6 papers), Glycosylation and Glycoproteins Research (4 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (4 papers), HIV/AIDS drug development and treatment (4 papers), Cancer therapeutics and mechanisms (4 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Biotechnology (1.1k citations), Genetics (571 citations), Biomedical Engineering (690 citations), Endocrinology (45 citations) and Ecology (228 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, John M. Pawelek, Alan C. Sartorelli and K. Brooks Low. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Clinical Oncology, Leukemia Research, Clinical Cancer Research and Biochemical and Biophysical Research Communications.

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.

Explore authors with similar magnitude of impact