Michael A. Caligiuri

70.5k citations
448 papers · 49.2k · 18 hit papers · h-index 110

Impact in

  • Immunology top 0.01%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Reproductive System and Pregnancy
  • Hematology top 0.02%
    • Acute Myeloid Leukemia Research

Papers in

    • Immune Cell Function and Interaction 217
    • T-cell and B-cell Immunology 88
    • IL-33, ST2, and ILC Pathways 36
    • CAR-T cell therapy research 68

Michael A. Caligiuri

441 papers receiving 48.1k citations

Michael A. Caligiuri's Hit Papers

YTHDF2 orchestrates tumor-associated macrophage reprogramming and controls antitumor immunity through CD8+ T cells 2023 · 155 citations
1550+8+16Years since publication50010001.5k2.0k

Peers

Michael A. Caligiuri
Comparison fields: 5 of 164
  • Immunology 25.6k
  • Hematology 9.4k
  • Oncology 13.5k
  • Cancer Research 4.9k
  • Genetics 3.4k
Replace John J. O’Shea with:
John J. O’Shea United States
Lorenzo Moretta Italy
Hideo Yagita∥ Japan
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Alain Fischer France
Eugene C. Butcher United States
Mark J. Smyth Australia
Leonard D. Shultz United States
Bruce R. Blazar United States
Ulrich H. von Andrian United States
Michael A. Caligiuri relative to John J. O’Shea United States John J. O’Shea's profile →
Citations per field
00.5×3.0×
John J. O’Shea · 1×
Citations per year

Countries citing papers authored by Michael A. Caligiuri

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Caligiuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Caligiuri. 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 Michael A. Caligiuri. The network helps show where Michael A. Caligiuri may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael A. Caligiuri, 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 Michael A. Caligiuri Line = papers co-authored together Michael A. Caligiuri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 448 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A cell initiating human acute myeloid leukaemia after transplantation into SCID mice
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19943779
2
The biology of human natural killer-cell subsets
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20012432
3
Innate or Adaptive Immunity? The Example of Natural Killer Cells
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20112153
4
Human natural killer cells
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20081525
5
MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory response
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20121346
6
Human natural killer cells: a unique innate immunoregulatory role for the CD56bright subset
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20011179
7
Interleukin (IL) 15 is a novel cytokine that activates human natural killer cells via components of the IL-2 receptor.
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1994973
8
Interleukin 15: biology and relevance to human disease
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2001827
9
CD56bright natural killer cells are present in human lymph nodes and are activated by T cell-derived IL-2: a potential new link between adaptive and innate immunity
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2003700
10
The PD-1/PD-L1 axis modulates the natural killer cell versus multiple myeloma effect: a therapeutic target for CT-011, a novel monoclonal anti–PD-1 antibody
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2010682
11
Essential metabolic, anti-inflammatory, and anti-tumorigenic functions of miR-122 in liver
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2012649
12
Obesity, Inflammation, and Cancer
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2016646
13
IDH1 and IDH2 Gene Mutations Identify Novel Molecular Subsets Within De Novo Cytogenetically Normal Acute Myeloid Leukemia: A Cancer and Leukemia Group B Study
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2010584
14
Differential Cytokine and Chemokine Gene Expression by Human NK Cells Following Activation with IL-18 or IL-15 in Combination with IL-12: Implications for the Innate Immune Response
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1999565
15
The Broad Spectrum of Human Natural Killer Cell Diversity
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2017507
16
Coordinated and Distinct Roles for IFN-αβ, IL-12, and IL-15 Regulation of NK Cell Responses to Viral Infection
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2002504
17 2002403
18 2003399
19 2005397
20 2013393

About Michael A. Caligiuri

Michael A. Caligiuri is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Genetics, having authored 448 papers that have together received 49.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (217 papers), T-cell and B-cell Immunology (88 papers), Acute Myeloid Leukemia Research (72 papers), CAR-T cell therapy research (68 papers), IL-33, ST2, and ILC Pathways (36 papers), Chronic Myeloid Leukemia Treatments (32 papers), Lymphoma Diagnosis and Treatment (31 papers) and Chronic Lymphocytic Leukemia Research (31 papers). The work is most often cited by research in Immunology (25.6k citations), Hematology (9.4k citations), Oncology (13.5k citations), Cancer Research (4.9k citations) and Genetics (3.4k citations). Michael A. Caligiuri has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Todd A. Fehniger, Megan A. Cooper, Jianhua Yu, Aharon G. Freud, Guido Marcucci, Clara D. Bloomfield, William E. Carson, Brian Becknell, Mark D. Minden and Barbara Murdoch. Their work appears in journals such as Blood, The Journal of Immunology, Clinical Cancer Research, Journal of Clinical Oncology and Journal of Clinical Investigation.

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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