Hyam I. Levitsky

11.8k total citations · 4 hit papers
65 papers, 8.3k citations indexed

About

Hyam I. Levitsky is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Hyam I. Levitsky has authored 65 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Immunology, 25 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Hyam I. Levitsky's work include Immunotherapy and Immune Responses (47 papers), Immune Cell Function and Interaction (26 papers) and T-cell and B-cell Immunology (23 papers). Hyam I. Levitsky is often cited by papers focused on Immunotherapy and Immune Responses (47 papers), Immune Cell Function and Interaction (26 papers) and T-cell and B-cell Immunology (23 papers). Hyam I. Levitsky collaborates with scholars based in United States, Taiwan and France. Hyam I. Levitsky's co-authors include Drew M. Pardoll, Gang Zhou, Alex Y. Huang, Eduardo M. Sotomayor, Robert J. Hayashi, Ivan Borrello, Elizabeth M. Jaffee, Mojgan Ahmadzadeh, Kenneth E. Hung and Charles J. Lowenstein and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Hyam I. Levitsky

64 papers receiving 8.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Central Role of CD4+ T Cells in the Antitumor Immune Response

1998 1.1k citations Drew M. Pardoll, Hyam I. Levitsky et al. The Journal of Experimental Medicine profile →
Role of LAG-3 in Regulatory T Cells

2004 993 citations Ching-Tai Huang, Creg J. Workman et al. Immunity profile →
Role of Bone Marrow-Derived Cells in Presenting MHC Class I-Restricted Tumor Antigens

1994 980 citations Alex Y. Huang, Mojgan Ahmadzadeh et al. profile →
Induction of antigen-specific T cell anergy: An early event in the course of tumor progression

1998 571 citations Kevin F. Staveley-O’Carroll, Eduardo M. Sotomayor et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyam I. Levitsky United States	39	6.7k	3.7k	1.9k	902	451	65	8.3k
Philippe Guillaume Switzerland	52	6.3k 0.9×	3.8k 1.0×	2.4k 1.3×	576 0.6×	373 0.8×	142	7.9k
Silvano Ferrini Italy	55	5.5k 0.8×	3.0k 0.8×	2.3k 1.2×	605 0.7×	384 0.9×	228	8.7k
Paul J. Spiess United States	32	6.8k 1.0×	4.8k 1.3×	2.1k 1.1×	1.2k 1.4×	287 0.6×	40	8.4k
Hans J. Stauss United Kingdom	42	3.6k 0.5×	2.9k 0.8×	1.5k 0.8×	1.2k 1.3×	480 1.1×	136	5.6k
Werner Held Switzerland	51	7.5k 1.1×	3.4k 0.9×	2.1k 1.1×	684 0.8×	472 1.0×	116	9.8k
Giulia Casorati Italy	48	5.8k 0.9×	2.1k 0.6×	1.5k 0.8×	843 0.9×	483 1.1×	131	7.4k
Willem W. Overwijk United States	49	7.1k 1.1×	4.9k 1.3×	2.7k 1.4×	931 1.0×	130 0.3×	112	9.6k
Robert S. Mittler United States	50	6.4k 1.0×	2.6k 0.7×	1.5k 0.8×	515 0.6×	202 0.4×	105	8.2k
Kathleen E. Morton United States	17	6.2k 0.9×	6.0k 1.6×	1.9k 1.0×	1.4k 1.5×	219 0.5×	19	8.8k
Timothy M. Clay United States	41	3.2k 0.5×	2.2k 0.6×	2.6k 1.4×	796 0.9×	130 0.3×	97	5.9k

Countries citing papers authored by Hyam I. Levitsky

Since Specialization

Citations

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

Fields of papers citing papers by Hyam I. Levitsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyam I. Levitsky. 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 Hyam I. Levitsky. The network helps show where Hyam I. Levitsky may publish in the future.

Co-authorship network of co-authors of Hyam I. Levitsky

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

All Works

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20 of 20 papers shown

Millar, Hillary J., David H. Walker, Liam Campion, et al.. (2024). Abstract 6802: CXCR4 transgene improves in vivo migration and efficacy of engineered iPSC-derived natural killer cells. Cancer Research. 84(6_Supplement). 6802–6802. 2 indexed citations

Hoves, Sabine, Chia-Huey Ooi, Hadassah Sade, et al.. (2018). Rapid activation of tumor-associated macrophages boosts preexisting tumor immunity. The Journal of Experimental Medicine. 215(3). 859–876. 153 indexed citations

Jaffe, Andrew E., Lixin Dai, Jie Fu, et al.. (2013). TE-array—a high throughput tool to study transposon transcription. BMC Genomics. 14(1). 869–869. 9 indexed citations

Zhou, Gang, Zhi-Chun Ding, Jie Fu, & Hyam I. Levitsky. (2011). Presentation of Acquired Peptide-MHC Class II Ligands by CD4+ Regulatory T Cells or Helper Cells Differentially Regulates Antigen-Specific CD4+ T Cell Response. The Journal of Immunology. 186(4). 2148–2155. 40 indexed citations

Hourigan, Christopher S. & Hyam I. Levitsky. (2011). Evaluation of Current Cancer Immunotherapy. The Cancer Journal. 17(5). 309–324. 15 indexed citations

Smith, B. Douglas, Yvette L. Kasamon, Jeanne Kowalski, et al.. (2010). K562/GM-CSF Immunotherapy Reduces Tumor Burden in Chronic Myeloid Leukemia Patients with Residual Disease on Imatinib Mesylate. Clinical Cancer Research. 16(1). 338–347. 77 indexed citations

Gerber, Jonathan M., Qin Lu, Jeanne Kowalski, et al.. (2010). Characterization of chronic myeloid leukemia stem cells. American Journal of Hematology. 86(1). 31–37. 69 indexed citations

Long, Christopher M., Hanneke W.M. van Laarhoven, Jeff W. M. Bulte, & Hyam I. Levitsky. (2009). Magnetovaccination as a Novel Method to Assess and Quantify Dendritic Cell Tumor Antigen Capture and Delivery to Lymph Nodes. Cancer Research. 69(7). 3180–3187. 74 indexed citations

Stebbing, Justin, Christopher G. Wood, Michael B. Atkins, et al.. (2008). Cancer vaccines: Clinical development challenges and proposed regulatory approaches for patient access to promising treatments. Cancer. 112(5). 955–961. 4 indexed citations

10.

Zhou, Gang & Hyam I. Levitsky. (2007). Natural Regulatory T Cells and De Novo-Induced Regulatory T Cells Contribute Independently to Tumor-Specific Tolerance. The Journal of Immunology. 178(4). 2155–2162. 174 indexed citations

11.

Horna, Pedro, Alex G. Cuenca, Fengdong Cheng, et al.. (2005). In vivo disruption of tolerogenic cross-presentation mechanisms uncovers an effective T-cell activation by B-cell lymphomas leading to antitumor immunity. Blood. 107(7). 2871–2878. 34 indexed citations

12.

Huang, Ching-Tai, Creg J. Workman, Dallas B. Flies, et al.. (2004). Role of LAG-3 in Regulatory T Cells. Immunity. 21(4). 503–513. 993 indexed citations breakdown →

13.

Wu, Bo, Jianming Wu, Alexei Miagkov, et al.. (2001). Specific Immunotherapy by Genetically Engineered APCs: The “Guided Missile” Strategy. The Journal of Immunology. 166(7). 4773–4779. 18 indexed citations

14.

Nelson, William G., Jonathan W. Simons, Bahar Mikhak, et al.. (2000). Cancer cells engineered to secrete granulocyte-macrophage colony-stimulating factor using ex vivo gene transfer as vaccines for the treatment of genitourinary malignancies. Cancer Chemotherapy and Pharmacology. 46(S1). S67–S72. 62 indexed citations

15.

Borrello, Ivan, et al.. (1999). A Universal Granulocyte-Macrophage Colony-Stimulating Factor-Producing Bystander Cell Line for Use in the Formulation of Autologous Tumor Cell-Based Vaccines. Human Gene Therapy. 10(12). 1983–1991. 92 indexed citations

16.

Morgan, David J., et al.. (1998). Activation of Low Avidity CTL Specific for a Self Epitope Results in Tumor Rejection But Not Autoimmunity. The Journal of Immunology. 160(2). 643–651. 212 indexed citations

17.

Huang, Alex Y., et al.. (1996). Does B7-1 expression confer antigen-presenting cell capacity to tumors in vivo?. The Journal of Experimental Medicine. 183(3). 769–776. 123 indexed citations

18.

Levitsky, Hyam I.. (1996). Tumors derived from antigen presenting cells. Seminars in Immunology. 8(5). 281–287. 9 indexed citations

19.

Levitsky, Hyam I., Joel M. Montgomery, Mojgan Ahmadzadeh, et al.. (1996). Immunization with granulocyte-macrophage colony-stimulating factor-transduced, but not B7-1-transduced, lymphoma cells primes idiotype-specific T cells and generates potent systemic antitumor immunity. The Journal of Immunology. 156(10). 3858–3865. 155 indexed citations

20.

Wu, T.‐C., Alex Y. Huang, Elizabeth M. Jaffee, Hyam I. Levitsky, & Drew M. Pardoll. (1995). A reassessment of the role of B7-1 expression in tumor rejection.. The Journal of Experimental Medicine. 182(5). 1415–1421. 160 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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