Isabel E. Ishizuka

1.7k total citations · 1 hit paper
9 papers, 905 citations indexed

About

Isabel E. Ishizuka is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Isabel E. Ishizuka has authored 9 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Isabel E. Ishizuka's work include Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (4 papers) and T-cell and B-cell Immunology (3 papers). Isabel E. Ishizuka is often cited by papers focused on Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (4 papers) and T-cell and B-cell Immunology (3 papers). Isabel E. Ishizuka collaborates with scholars based in United States and France. Isabel E. Ishizuka's co-authors include Albert Bendelac, Benjamin D. McDonald, Michael G. Constantinides, Herman Gudjonson, Bana Jabrì, Jeffrey J. Bunker, Aaron R. Dinner, Jason Koval, Dustin G. Shaw and Patrick C. Wilson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Isabel E. Ishizuka

9 papers receiving 898 citations

Hit Papers

Innate and Adaptive Humoral Responses Coat Distinct Comme... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Isabel E. Ishizuka United States 8 588 333 198 132 79 9 905
Benjamin D. McDonald United States 12 1.2k 2.0× 384 1.2× 473 2.4× 150 1.1× 95 1.2× 13 1.5k
Michio Miyajima Japan 9 340 0.6× 240 0.7× 112 0.6× 84 0.6× 49 0.6× 10 654
Jaeu Yi United States 12 416 0.7× 321 1.0× 56 0.3× 110 0.8× 75 0.9× 16 815
Michaela Friedrichsen Germany 11 552 0.9× 208 0.6× 68 0.3× 137 1.0× 63 0.8× 14 837
Lucia M. Kato Japan 9 560 1.0× 613 1.8× 57 0.3× 229 1.7× 109 1.4× 9 1.1k
Valentina Salucci Italy 9 479 0.8× 251 0.8× 67 0.3× 98 0.7× 203 2.6× 9 851
Yoshiaki Matsuoka Japan 10 392 0.7× 189 0.6× 80 0.4× 84 0.6× 78 1.0× 13 690
Ainsley Lockhart United States 11 360 0.6× 231 0.7× 39 0.2× 130 1.0× 66 0.8× 14 715
Sya N. Ukena Germany 12 243 0.4× 332 1.0× 46 0.2× 105 0.8× 109 1.4× 17 728
Daniel Ríos United States 9 201 0.3× 172 0.5× 135 0.7× 62 0.5× 38 0.5× 17 570

Countries citing papers authored by Isabel E. Ishizuka

Since Specialization
Citations

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

Fields of papers citing papers by Isabel E. Ishizuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabel E. Ishizuka. 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 Isabel E. Ishizuka. The network helps show where Isabel E. Ishizuka may publish in the future.

Co-authorship network of co-authors of Isabel E. Ishizuka

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

All Works

9 of 9 papers shown
1.
Oh, Soyoung, Kate Senger, Shravan Madireddi, et al.. (2022). High-efficiency nonviral CRISPR/Cas9-mediated gene editing of human T cells using plasmid donor DNA. The Journal of Experimental Medicine. 219(5). 50 indexed citations
2.
Kim, AeRyon, et al.. (2019). Studying MHC Class II Peptide Loading and Editing In Vitro. Methods in molecular biology. 343–355. 1 indexed citations
3.
Mao, Aiping, Isabel E. Ishizuka, Darshan N. Kasal, Malay Mandal, & Albert Bendelac. (2017). A shared Runx1-bound Zbtb16 enhancer directs innate and innate-like lymphoid lineage development. Nature Communications. 8(1). 863–863. 50 indexed citations
4.
Ishizuka, Isabel E., Sylvestre Chea, Herman Gudjonson, et al.. (2016). Single-cell analysis defines the divergence between the innate lymphoid cell lineage and lymphoid tissue–inducer cell lineage. Nature Immunology. 17(3). 269–276. 132 indexed citations
5.
Ishizuka, Isabel E., Michael G. Constantinides, Herman Gudjonson, & Albert Bendelac. (2016). The Innate Lymphoid Cell Precursor. Annual Review of Immunology. 34(1). 299–316. 52 indexed citations
6.
Bunker, Jeffrey J., Theodore M. Flynn, Jason Koval, et al.. (2015). Innate and Adaptive Humoral Responses Coat Distinct Commensal Bacteria with Immunoglobulin A. Immunity. 43(3). 541–553. 409 indexed citations breakdown →
7.
Constantinides, Michael G., Herman Gudjonson, Benjamin D. McDonald, et al.. (2015). PLZF expression maps the early stages of ILC1 lineage development. Proceedings of the National Academy of Sciences. 112(16). 5123–5128. 128 indexed citations
8.
McDonald, Benjamin D., Jeffrey J. Bunker, Isabel E. Ishizuka, Bana Jabrì, & Albert Bendelac. (2014). Elevated T Cell Receptor Signaling Identifies a Thymic Precursor to the TCRαβ+CD4−CD8β− Intraepithelial Lymphocyte Lineage. Immunity. 41(2). 219–229. 74 indexed citations
9.
Ishizuka, Isabel E., et al.. (2012). Studying MHC Class II Peptide Loading and Editing In Vitro. Methods in molecular biology. 1988. 447–459. 9 indexed citations

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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