John Huizar

450 total citations
9 papers, 284 citations indexed

About

John Huizar is a scholar working on Immunology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, John Huizar has authored 9 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Oncology. Recurrent topics in John Huizar's work include Nuclear Receptors and Signaling (5 papers), CAR-T cell therapy research (3 papers) and Macrophage Migration Inhibitory Factor (3 papers). John Huizar is often cited by papers focused on Nuclear Receptors and Signaling (5 papers), CAR-T cell therapy research (3 papers) and Macrophage Migration Inhibitory Factor (3 papers). John Huizar collaborates with scholars based in United States. John Huizar's co-authors include Julie Zikherman, Mark Noviski, Corey Tan, Tom Alber, James L. Mueller, George E. Katibah, Jacob M. Vogan, Kathleen Collins, Ho Jun Lee and Daniil M. Prigozhin and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Nature Immunology.

In The Last Decade

John Huizar

9 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Huizar United States	9	190	99	53	44	38	9	284
Alistair Easton United Kingdom	9	96 0.5×	95 1.0×	58 1.1×	65 1.5×	23 0.6×	12	293
Gina M. Lenzi United States	12	163 0.9×	134 1.4×	54 1.0×	21 0.5×	122 3.2×	13	427
Chenxiang Tang United States	4	79 0.4×	123 1.2×	28 0.5×	15 0.3×	32 0.8×	4	232
Alfred J. Zullo United States	9	210 1.1×	146 1.5×	81 1.5×	10 0.2×	42 1.1×	12	410
Deirdre Foley United States	12	40 0.2×	181 1.8×	44 0.8×	11 0.3×	53 1.4×	14	302
Ralf Sanzenbacher Germany	10	176 0.9×	186 1.9×	59 1.1×	11 0.3×	13 0.3×	19	345
Minzhen Xu United States	16	353 1.9×	203 2.1×	122 2.3×	14 0.3×	15 0.4×	24	456
Jingwei Zeng United Kingdom	7	129 0.7×	233 2.4×	38 0.7×	7 0.2×	22 0.6×	11	340
Esther Porras-De Francisco United States	6	25 0.1×	246 2.5×	75 1.4×	22 0.5×	75 2.0×	6	350

Countries citing papers authored by John Huizar

Since Specialization

Citations

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

Fields of papers citing papers by John Huizar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Huizar. 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 John Huizar. The network helps show where John Huizar may publish in the future.

Co-authorship network of co-authors of John Huizar

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

All Works

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9 of 9 papers shown

Tan, Corey, Ryosuke Hiwa, James L. Mueller, et al.. (2020). NR4A nuclear receptors restrain B cell responses to antigen when second signals are absent or limiting. Nature Immunology. 21(10). 1267–1279. 49 indexed citations

Tan, Corey, James L. Mueller, Mark Noviski, et al.. (2019). Nur77 Links Chronic Antigen Stimulation to B Cell Tolerance by Restricting the Survival of Self-Reactive B Cells in the Periphery. The Journal of Immunology. 202(10). 2907–2923. 22 indexed citations

Noviski, Mark, Corey Tan, John Huizar, et al.. (2019). Optimal Development of Mature B Cells Requires Recognition of Endogenous Antigens. The Journal of Immunology. 203(2). 418–428. 17 indexed citations

Tan, Corey, Mark Noviski, John Huizar, & Julie Zikherman. (2019). Self‐reactivity on a spectrum: A sliding scale of peripheral B cell tolerance. Immunological Reviews. 292(1). 37–60. 34 indexed citations

Huizar, John, Corey Tan, Mark Noviski, James L. Mueller, & Julie Zikherman. (2017). Nur77 Is Upregulated in B-1a Cells by Chronic Self-Antigen Stimulation and Limits Generation of Natural IgM Plasma Cells. ImmunoHorizons. 1(9). 188–197. 15 indexed citations

Myers, Darienne R., Hyung W. Lim, Herbert G. Kasler, et al.. (2017). Tonic LAT-HDAC7 Signals Sustain Nur77 and Irf4 Expression to Tune Naive CD4 T Cells. Cell Reports. 19(8). 1558–1571. 34 indexed citations

Prigozhin, Daniil M., Inna V. Krieger, John Huizar, et al.. (2014). Subfamily-Specific Adaptations in the Structures of Two Penicillin-Binding Proteins from Mycobacterium tuberculosis. PLoS ONE. 9(12). e116249–e116249. 8 indexed citations

Katibah, George E., Ho Jun Lee, John Huizar, et al.. (2013). tRNA Binding, Structure, and Localization of the Human Interferon-Induced Protein IFIT5. Molecular Cell. 49(4). 743–750. 65 indexed citations

Prigozhin, Daniil M., et al.. (2013). Structural and Biochemical Analyses of Mycobacterium tuberculosis N-Acetylmuramyl-l-alanine Amidase Rv3717 Point to a Role in Peptidoglycan Fragment Recycling. Journal of Biological Chemistry. 288(44). 31549–31555. 40 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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