Hyam I. Levitsky

11.8k citations
65 papers · 8.3k indexed · 4 hit papers · h-index 39
  • Immunology top 0.1%
    • Immunotherapy and Immune Responses 47
    • Immune Cell Function and Interaction 26
    • T-cell and B-cell Immunology 23
  • Oncology top 0.5%
    • CAR-T cell therapy research 17
    • Cancer Immunotherapy and Biomarkers 9
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation 4
  • Genetics top 2%
    • Virus-based gene therapy research 8
    • RNA Interference and Gene Delivery 6

Hyam I. Levitsky

64 papers receiving 8.1k citations

Hit Papers

Role of LAG-3 in Regulatory T Cells99319942026200420152505007501000

Peers

Hyam I. Levitsky
Comparison fields: 5 of 109
  • Immunology 6.7k
  • Oncology 3.7k
  • Hematology 451
  • Biotechnology 293
  • Genetics 902
Replace Silvano Ferrini with:
Silvano Ferrini Italy
Danila Valmori Switzerland
Michael H. Kershaw Australia
Werner Held Switzerland
Paul J. Spiess United States
Willem W. Overwijk United States
Hans J. Stauss United Kingdom
Philippe Guillaume Switzerland
Robert S. Mittler United States
Ada M. Kruisbeek Netherlands
Hyam I. Levitsky relative to Silvano Ferrini Italy Silvano Ferrini's profile →
Citations per field
00.5×1.5×
Silvano Ferrini · 1×
Citations per year

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

The 25 scholars most cited alongside Hyam I. Levitsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hyam I. Levitsky Line = papers co-authored together Hyam I. Levitsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2018153
2 20139
3 201115
4 201077
5 201069
6 200974
7 20084
8 2007174
9 200663
10
Role of LAG-3 in Regulatory T Cellsbreakdown →
2004993
11 200118
12 20018
13 200062
14 2000169
15 199992
16 1998212
17 19969
18 1996155
19 199654
20 1994167

About Hyam I. Levitsky

Hyam I. Levitsky is a scholar working on Immunology, Oncology and Hematology, having authored 65 papers that have together received 8.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (47 papers), Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (23 papers), CAR-T cell therapy research (17 papers), Cancer Immunotherapy and Biomarkers (9 papers), Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Immunology (6.7k citations), Oncology (3.7k citations) and Hematology (451 citations). Hyam I. Levitsky has collaborated with scholars based in United States, Georgia and Singapore. Frequent 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.

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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