William Vermi

19.1k total citations · 5 hit papers
157 papers, 12.3k citations indexed

About

William Vermi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, William Vermi has authored 157 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Immunology, 44 papers in Oncology and 23 papers in Molecular Biology. Recurrent topics in William Vermi's work include Immune Cell Function and Interaction (55 papers), Immunotherapy and Immune Responses (47 papers) and T-cell and B-cell Immunology (44 papers). William Vermi is often cited by papers focused on Immune Cell Function and Interaction (55 papers), Immunotherapy and Immune Responses (47 papers) and T-cell and B-cell Immunology (44 papers). William Vermi collaborates with scholars based in Italy, United States and United Kingdom. William Vermi's co-authors include Marco Colonna, Fabio Facchetti, Marina Cella, Susan Gilfillan, Silvia Lonardi, Anja Fuchs, Robert D. Schreiber, Yaming Wang, Karel Otero and Mark J. Smyth and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

William Vermi

156 papers receiving 12.2k citations

Hit Papers

5 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.

Adaptive immunity maintains occult cancer in an equilibrium state

2007 1.0k citations Catherine Koebel, William Vermi et al. Nature profile →
A human natural killer cell subset provides an innate source of IL-22 for mucosal immunity

2008 1.0k citations William Vermi, Fabio Facchetti et al. Nature profile →
IL-34 is a tissue-restricted ligand of CSF1R required for the development of Langerhans cells and microglia

2012 734 citations William Vermi, Susan Gilfillan et al. profile →
Intraepithelial Type 1 Innate Lymphoid Cells Are a Unique Subset of IL-12- and IL-15-Responsive IFN-γ-Producing Cells

2013 734 citations William Vermi, Silvia Lonardi et al. profile →
BDCA-2, a Novel Plasmacytoid Dendritic Cell–specific Type II C-type Lectin, Mediates Antigen Capture and Is a Potent Inhibitor of Interferon α/β Induction

2001 593 citations Marco Colonna, Fabio Facchetti et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Vermi Italy	54	8.5k	3.4k	2.2k	1.2k	999	157	12.3k
Lorenzo Cosmi Italy	55	7.5k 0.9×	2.2k 0.6×	2.0k 0.9×	1.2k 1.0×	1.0k 1.1×	134	12.4k
Mary K. Crow United States	66	8.5k 1.0×	2.1k 0.6×	2.4k 1.1×	827 0.7×	1.2k 1.2×	184	14.4k
Erin Murphy United States	22	8.4k 1.0×	6.2k 1.8×	3.0k 1.4×	2.0k 1.6×	736 0.7×	49	13.9k
Creg J. Workman United States	47	10.8k 1.3×	6.2k 1.8×	2.4k 1.1×	616 0.5×	1.1k 1.1×	81	14.9k
Angel F. López Australia	63	6.9k 0.8×	2.9k 0.9×	3.6k 1.7×	737 0.6×	643 0.6×	275	13.7k
Toshihiro Miyamoto Japan	49	6.0k 0.7×	3.2k 0.9×	4.2k 1.9×	573 0.5×	919 0.9×	359	13.7k
Antal Rot Austria	54	7.5k 0.9×	5.0k 1.5×	2.7k 1.2×	676 0.5×	733 0.7×	108	12.3k
Jonathon D. Sedgwick Australia	56	10.5k 1.2×	2.6k 0.8×	2.0k 0.9×	723 0.6×	1.5k 1.5×	98	15.0k
Alejandro V. Villarino United States	39	6.4k 0.7×	2.7k 0.8×	2.2k 1.0×	447 0.4×	1.0k 1.0×	64	10.2k
Walter Newman United States	51	9.0k 1.1×	2.6k 0.8×	3.1k 1.4×	905 0.7×	1.4k 1.4×	108	16.3k

Countries citing papers authored by William Vermi

Since Specialization

Citations

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

Fields of papers citing papers by William Vermi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Vermi

This figure shows the co-authorship network connecting the top 25 collaborators of William Vermi. A scholar is included among the top collaborators of William Vermi 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 William Vermi. William Vermi 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

Pietronigro, Enrica, Silvia Lonardi, Gabriela Constantin, et al.. (2023). slan+ Monocytes Kill Cancer Cells Coated in Therapeutic Antibody by Trogoptosis. Cancer Immunology Research. 11(11). 1538–1552. 7 indexed citations

Missale, Francesco, Mattia Bugatti, Filippo Marchi, et al.. (2023). The prometastatic relevance of tumor‐infiltrating B lymphocytes in laryngeal squamous cell carcinoma. Clinical & Translational Immunology. 12(4). e1445–e1445. 4 indexed citations

Dander, Erica, Paola Vinci, Stefania Vetrano, et al.. (2023). The chemerin/CMKLR1 axis regulates intestinal graft-versus-host disease. JCI Insight. 8(5). 3 indexed citations

Asperti, Michela, Magdalena Gryzik, Mattia Bugatti, et al.. (2023). The modulation of iron metabolism affects the Rhabdomyosarcoma tumor growth in vitro and in vivo. Clinical and Experimental Medicine. 23(6). 2487–2502. 2 indexed citations

Monti, Matilde, Jacopo Celli, Francesco Missale, et al.. (2022). Clinical Significance and Regulation of ERK5 Expression and Function in Cancer. Cancers. 14(2). 348–348. 20 indexed citations

Barbarino, Marcella, Silvia Lonardi, William Vermi, et al.. (2021). Mesothelioma Malignancy and the Microenvironment: Molecular Mechanisms. Cancers. 13(22). 5664–5664. 23 indexed citations

Lonardi, Silvia, Francesca Sensi, Edoardo D’Angelo, et al.. (2021). Tumor Cells and the Extracellular Matrix Dictate the Pro-Tumoral Profile of Macrophages in CRC. Cancers. 13(20). 5199–5199. 10 indexed citations

Lonardi, Silvia, Sara Scutera, Luisa Lorenzi, et al.. (2020). CSF1R Is Required for Differentiation and Migration of Langerhans Cells and Langerhans Cell Histiocytosis. Cancer Immunology Research. 8(6). 829–841. 21 indexed citations

Giurisato, Emanuele, Silvia Lonardi, Brian A. Telfer, et al.. (2020). Extracellular-Regulated Protein Kinase 5-Mediated Control of p21 Expression Promotes Macrophage Proliferation Associated with Tumor Growth and Metastasis. Cancer Research. 80(16). 3319–3330. 28 indexed citations

10.

Prete, Annalisa Del, Francesca Sozio, Tiziana Schioppa, et al.. (2019). The Atypical Receptor CCRL2 Is Essential for Lung Cancer Immune Surveillance. Cancer Immunology Research. 7(11). 1775–1788. 30 indexed citations

11.

Vermi, William, Alessandra Micheletti, Cristina Tecchio, et al.. (2018). slan+ Monocytes and Macrophages Mediate CD20-Dependent B-cell Lymphoma Elimination via ADCC and ADCP. Cancer Research. 78(13). 3544–3559. 29 indexed citations

12.

Huergo-Zapico, Leticía, Monica Parodi, Claudia Cantoni, et al.. (2018). NK-cell Editing Mediates Epithelial-to-Mesenchymal Transition via Phenotypic and Proteomic Changes in Melanoma Cell Lines. Cancer Research. 78(14). 3913–3925. 59 indexed citations

13.

Ronca, Roberto, Emanuela Di Salle, Arianna Giacomini, et al.. (2013). Long Pentraxin-3 Inhibits Epithelial–Mesenchymal Transition in Melanoma Cells. Molecular Cancer Therapeutics. 12(12). 2760–2771. 62 indexed citations

14.

Vermi, William, Emanuele Giurisato, Silvia Lonardi, et al.. (2013). Ligand-Dependent Activation of EGFR in Follicular Dendritic Cells Sarcoma is Sustained by Local Production of Cognate Ligands. Clinical Cancer Research. 19(18). 5027–5038. 26 indexed citations

15.

O’Sullivan, Timothy E., Robert Saddawi‐Konefka, William Vermi, et al.. (2012). Cancer immunoediting by the innate immune system in the absence of adaptive immunity. The Journal of Experimental Medicine. 209(10). 1869–1882. 257 indexed citations

16.

Ponzoni, Maurilio, Pietro Luigi Poliani, William Vermi, et al.. (2011). Central nervous system marginal zone B-cell lymphoma associated with Chlamydophila psittaci infection. Human Pathology. 42(5). 738–742. 10 indexed citations

17.

McCartney, Stephen A., William Vermi, Silvia Lonardi, et al.. (2011). RNA sensor–induced type I IFN prevents diabetes caused by a β cell–tropic virus in mice. Journal of Clinical Investigation. 121(4). 1497–1507. 57 indexed citations

18.

Koebel, Catherine, William Vermi, Jeremy B. Swann, et al.. (2007). Adaptive immunity maintains occult cancer in an equilibrium state. Nature. 450(7171). 903–907. 1024 indexed citations breakdown →

19.

Rosaria, Maria, Annalisa Del Prete, Annunciata Vecchi, et al.. (2004). Increased DC trafficking to lymph nodes and contact hypersensitivity in junctional adhesion molecule-A–deficient mice. Journal of Clinical Investigation. 114(5). 729–738. 139 indexed citations

20.

Vermi, William, Laura Blanzuoli, Madeleine D. Kraus, et al.. (1999). The Spleen in the Wiskott-Aldrich Syndrome. The American Journal of Surgical Pathology. 23(2). 182–191. 39 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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