Kayvan Niazi

3.9k total citations · 2 hit papers
36 papers, 2.7k citations indexed

About

Kayvan Niazi is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Kayvan Niazi has authored 36 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 13 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Kayvan Niazi's work include Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (6 papers). Kayvan Niazi is often cited by papers focused on Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (6 papers). Kayvan Niazi collaborates with scholars based in United States, Italy and France. Kayvan Niazi's co-authors include Robert L. Modlin, Steffen Stenger, Steven A. Porcelli, Ata Mahjoubfar, Bahram Jalali, Rachel Teitelbaum, Alan M. Krensky, Barry R. Bloom, Christian Bogdan and Tomas Ganz and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Kayvan Niazi

33 papers receiving 2.7k citations

Hit Papers

An Antimicrobial Activity of Cytolytic T Cells Mediated b... 1998 2026 2007 2016 1998 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayvan Niazi United States 21 1.2k 858 544 476 255 36 2.7k
Jost Enninga France 30 852 0.7× 1.8k 2.1× 750 1.4× 893 1.9× 112 0.4× 75 4.0k
Hirotaka Kuwata Japan 23 1.5k 1.3× 1.6k 1.8× 202 0.4× 341 0.7× 106 0.4× 59 3.9k
Florence Niedergang France 35 1.3k 1.2× 969 1.1× 355 0.7× 282 0.6× 155 0.6× 75 3.0k
Jonathan Hardy United States 22 358 0.3× 1.3k 1.6× 250 0.5× 178 0.4× 165 0.6× 41 2.8k
Stephen Todryk United Kingdom 37 2.2k 1.9× 1.7k 2.0× 335 0.6× 531 1.1× 140 0.5× 98 4.7k
Christiane Ruedl Singapore 38 3.2k 2.8× 1.1k 1.3× 385 0.7× 613 1.3× 104 0.4× 88 4.9k
Ger van Zandbergen Germany 34 1.5k 1.3× 885 1.0× 669 1.2× 1.1k 2.2× 272 1.1× 69 3.8k
Zheng W. Chen United States 40 2.5k 2.2× 1.0k 1.2× 1.4k 2.5× 1.1k 2.4× 80 0.3× 116 4.4k
Stephen P. Perfetto United States 22 1.4k 1.2× 1.3k 1.5× 188 0.3× 290 0.6× 47 0.2× 39 2.9k
Ashraful Haque Australia 34 1.5k 1.3× 1.3k 1.5× 332 0.6× 1.0k 2.1× 26 0.1× 81 4.2k

Countries citing papers authored by Kayvan Niazi

Since Specialization
Citations

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

Fields of papers citing papers by Kayvan Niazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayvan Niazi

This figure shows the co-authorship network connecting the top 25 collaborators of Kayvan Niazi. A scholar is included among the top collaborators of Kayvan Niazi 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 Kayvan Niazi. Kayvan Niazi 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
2.
Tanaka, Shiho, C. Anders Olson, Christopher O. Barnes, et al.. (2022). Rapid identification of neutralizing antibodies against SARS-CoV-2 variants by mRNA display. Cell Reports. 38(6). 110348–110348. 13 indexed citations
3.
Rice, Adrian, Mohit S. Verma, Peter A. Sieling, et al.. (2021). Intranasal plus subcutaneous prime vaccination with a dual antigen COVID-19 vaccine elicits T-cell and antibody responses in mice. Scientific Reports. 11(1). 26 indexed citations
4.
Sercel, Alexander J., Alexander N. Patananan, Tianxing Man, et al.. (2021). Stable transplantation of human mitochondrial DNA by high-throughput, pressurized isolated mitochondrial delivery. eLife. 10. 34 indexed citations
5.
Lee, Karin L., Stephen C. Benz, Kristin C. Hicks, et al.. (2019). Efficient Tumor Clearance and Diversified Immunity through Neoepitope Vaccines and Combinatorial Immunotherapy. Cancer Immunology Research. 7(8). 1359–1370. 20 indexed citations
6.
Domenis, Rossana, Adriana Cifù, Daniele Di Marino, et al.. (2019). Toll-like Receptor-4 Activation Boosts the Immunosuppressive Properties of Tumor Cells-derived Exosomes. Scientific Reports. 9(1). 8457–8457. 34 indexed citations
8.
Vodala, Sadanand, Andrew Nguyen, Noé Rodríguez‐Rodríguez, et al.. (2019). TCR repertoire analysis from peripheral blood for prognostic assessment of patients during treatment.. Journal of Clinical Oncology. 37(15_suppl). e14040–e14040.
9.
Domenis, Rossana, Federica Caponnetto, Barbara Toffoletto, et al.. (2017). Characterization of the Proinflammatory Profile of Synovial Fluid-Derived Exosomes of Patients with Osteoarthritis. Mediators of Inflammation. 2017. 1–11. 103 indexed citations
10.
Wu, Ting‐Hsiang, Dana Case, Xin Zheng, et al.. (2016). Mitochondrial Transfer by Photothermal Nanoblade Restores Metabolite Profile in Mammalian Cells. Cell Metabolism. 23(5). 921–929. 91 indexed citations
11.
Nguyen, Andrew, Charles Vaske, Shahrooz Rabizadeh, et al.. (2016). Identifying patient-specific neoepitopes for cell-based and vaccine immunotherapy targets in breast cancer patients by HLA typing and predicting MHC presentation from whole genome and RNA sequencing data.. Journal of Clinical Oncology. 34(15_suppl). 11606–11606. 1 indexed citations
12.
Mahjoubfar, Ata, et al.. (2013). Label-free high-throughput cell screening in flow. Biomedical Optics Express. 4(9). 1618–1618. 69 indexed citations
13.
Kar, Upendra K., Janina Jiang, Cheryl I. Champion, et al.. (2012). Vault Nanocapsules as Adjuvants Favor Cell-Mediated over Antibody-Mediated Immune Responses following Immunization of Mice. PLoS ONE. 7(7). e38553–e38553. 36 indexed citations
14.
Poksay, Karen S., David T. Madden, Kayvan Niazi, et al.. (2011). Valosin-Containing Protein Gene Mutations: Cellular Phenotypes Relevant to Neurodegeneration. Journal of Molecular Neuroscience. 44(2). 91–102. 11 indexed citations
15.
Niazi, Kayvan, Melvin Chiu, Massimo Degano, et al.. (2001). The A′ and F′ Pockets of Human CD1b Are Both Required for Optimal Presentation of Lipid Antigens to T Cells. The Journal of Immunology. 166(4). 2562–2570. 19 indexed citations
16.
17.
Watts, Gerald F., Abdijapar Shamshiev, Gennaro De Libero, et al.. (2000). Molecular Recognition of Human CD1b Antigen Complexes: Evidence for a Common Pattern of Interaction with αβ TCRs. The Journal of Immunology. 165(8). 4494–4504. 45 indexed citations
18.
Stenger, Steffen, D. Branch Moody, Rick A. Rogers, et al.. (1998). The Tyrosine-Containing Cytoplasmic Tail of CD1b Is Essential for Its Efficient Presentation of Bacterial Lipid Antigens. Immunity. 8(3). 341–351. 132 indexed citations
19.
Stenger, Steffen, Kayvan Niazi, & Robert L. Modlin. (1998). Down-Regulation of CD1 on Antigen-Presenting Cells by Infection with Mycobacterium tuberculosis. The Journal of Immunology. 161(7). 3582–3588. 134 indexed citations
20.
Ernst, William, Kayvan Niazi, Delphi Chatterjee, et al.. (1998). Molecular Interaction of CD1b with Lipoglycan Antigens. Immunity. 8(3). 331–340. 158 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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