Ian J. Okazaki

3.7k total citations · 1 hit paper
25 papers, 2.0k citations indexed

About

Ian J. Okazaki is a scholar working on Immunology, Oncology and Physiology. According to data from OpenAlex, Ian J. Okazaki has authored 25 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 18 papers in Oncology and 15 papers in Physiology. Recurrent topics in Ian J. Okazaki's work include PARP inhibition in cancer therapy (16 papers), Toxin Mechanisms and Immunotoxins (16 papers) and Calcium signaling and nucleotide metabolism (14 papers). Ian J. Okazaki is often cited by papers focused on PARP inhibition in cancer therapy (16 papers), Toxin Mechanisms and Immunotoxins (16 papers) and Calcium signaling and nucleotide metabolism (14 papers). Ian J. Okazaki collaborates with scholars based in United States and United Kingdom. Ian J. Okazaki's co-authors include Joel Moss, Jeffrey S. Miller, Gong Yun, Paul J. Orchard, Arne Slungaard, Susan K. Fautsch, David H. McKenna, Bruce R. Blazar, Chap T. Le and Angela Panoskaltsis‐Mortari and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Ian J. Okazaki

24 papers receiving 2.0k citations

Hit Papers

Successful adoptive transfer and in vivo expansion of hum... 2005 2026 2012 2019 2005 400 800 1.2k

Peers

Ian J. Okazaki
Comparison fields: 5 of 80
  • Immunology 1.6k
  • Oncology 1.3k
  • Hematology 494
  • Physiology 295
  • Molecular Biology 264
Replace Paolo Carrega with:
Paolo Carrega Italy
Federica Costa Italy
Dipti Vijayan Australia
Anthony Venida United States
David Woods United States
Helga Schmetzer Germany
Sorin Armeanu Germany
Anna Cambiaggi Italy
Susan Togher United States
Francis Mussai United Kingdom
Paolo Carrega Italy View profile →
Citations per field, relative to Ian J. Okazaki
Ian J. Okazaki · 1×
Citations per year, relative to Ian J. Okazaki
Ian J. Okazaki · 1×

Countries citing papers authored by Ian J. Okazaki

Since Specialization
Citations

This map shows the geographic impact of Ian J. Okazaki'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 Ian J. Okazaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian J. Okazaki more than expected).

Fields of papers citing papers by Ian J. Okazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian J. Okazaki. 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 Ian J. Okazaki. The network helps show where Ian J. Okazaki may publish in the future.

Co-authorship network of co-authors of Ian J. Okazaki

This figure shows the co-authorship network connecting the top 25 collaborators of Ian J. Okazaki. A scholar is included among the top collaborators of Ian J. Okazaki 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 Ian J. Okazaki. Ian J. Okazaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 19
4
Successful adoptive transfer and in vivo expansion of human haploidentical NK cells in patients with cancer breakdown →
1428
5 2
6 10
7 39
8 66
9 18
10 6
11 29
12 2
13 44
14 54
15 19
16 22
17 14
18 19
19 68
20 10

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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