Ivan King

40 papers receiving 1.7k citations

Peers

Ivan King
Comparison fields: 5 of 77
  • Biotechnology 987
  • Oncology 117
  • Endocrinology 21
  • Molecular Biology 281
  • Biomaterials 52
Replace Hiroshige Tsuzuki with:
Hiroshige Tsuzuki Japan
Karel Bezouška Czechia
Arthur A. Branstrom United States
Milan Fábry Czechia
T. Hofmann Canada
Carrie M. Mosher United States
Nuno Bernardes Portugal
Renée Mosi Canada
Paula Wedeles Allan United States
Latha B. Pathangey United States
Ivan King relative to Hiroshige Tsuzuki Japan Hiroshige Tsuzuki's profile →
Citations per field
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Hiroshige Tsuzuki · 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 1999431
2 2005154
3 2000149
4 2002111
5 2001101
6 200485
7 200881
8 200174
9 200160
10 200059
11
Live bacteria as anticancer agents and tumor-selective protein delivery vectors.
200254
12 199745
13 200644
14 199443
15 198637
16 198633
17 200924
18 199823
19 200021
20 199620

About Ivan King

Ivan King is a scholar working on Biotechnology, Toxicology, Hematology, Cell Biology and Molecular Biology, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Research and Treatments (12 papers), Bioactive Compounds and Antitumor Agents (3 papers), Skin and Cellular Biology Research (3 papers), HIV/AIDS drug development and treatment (3 papers), Synthesis and biological activity (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer therapeutics and mechanisms (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Biotechnology (987 citations), Oncology (117 citations), Endocrinology (21 citations), Molecular Biology (281 citations) and Biomaterials (52 citations). Ivan King has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include David G. Bermudes, Lan Zheng, Stanley Li Lin, Martina Ittensohn, Mario Sznol, Xiang Luo, Trung Bao Le, K. Brooks Low, John M. Pawelek and Alan C. Sartorelli. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Leukemia Research, Clinical Cancer Research, Biochemical and Biophysical Research Communications and Oncology Research Featuring Preclinical and Clinical Cancer 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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