Massimo Locati
- Immunology top 0.02%
- Immunotherapy and Immune Responses 48
- T-cell and B-cell Immunology 37
- Immune cells in cancer 37
- Immune Response and Inflammation 35
- Immune Cell Function and Interaction 20
- Oncology top 0.1%
- Chemokine receptors and signaling 99
- Cytokine Signaling Pathways and Interactions 14
- Neurology top 0.2%
- Cancer Research top 0.2%
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 22
- Co-authors
- Alberto MantovaniSilvano SozzaniPaola AllavenaAntonello SicaAntonio SicaAndrea VecchiGraziella CurtaleFernando O. Martínez
- Cited by
- ImmunologyOncologyNeurology
- Journals
- The Journal of Immunology (15 papers)European Journal of Immunology (10 papers)Journal of Leukocyte Biology (9 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Massimo Locati
193 papers receiving 28.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Immunology 17.3k
- Oncology 7.6k
- Neurology 1.8k
- Cancer Research 3.0k
- Immunology and Allergy 1.1k
Countries citing papers authored by Massimo Locati
This map shows the geographic impact of Massimo Locati'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 Massimo Locati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Locati more than expected).
Fields of papers citing papers by Massimo Locati
This network shows the impact of papers produced by Massimo Locati. 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 Massimo Locati. The network helps show where Massimo Locati may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Locati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 32 | |
| 3 | 2021 | 13 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 12 | |
| 9 | 2019 | 33 | |
| 10 | 2018 | 36 | |
| 11 | 2018 | 70 | |
| 12 | 2018 | 20 | |
| 13 | 2017 | 30 | |
| 14 | 2016 | 70 | |
| 15 | 2015 | 19 | |
| 16 | 2015 | 99 | |
| 17 | 2014 | 34 | |
| 18 | 2014 | 13 | |
| 19 | Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expressionbreakdown → | 2006 | 1843 |
| 20 | Inhibition of monocyte chemotaxis to c-c chemokines by antisense oligonucleotide for cytosolic phospholipase A2 (cPLA2) | 1996 | 6 |
About Massimo Locati
Massimo Locati is a scholar working on Immunology, Oncology, Immunology and Allergy, Cancer Research and Genetics, having authored 194 papers that have together received 29.1k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (99 papers), Immunotherapy and Immune Responses (48 papers), T-cell and B-cell Immunology (37 papers), Immune cells in cancer (37 papers), Immune Response and Inflammation (35 papers), Cell Adhesion Molecules Research (22 papers), Immune Cell Function and Interaction (20 papers) and Cytokine Signaling Pathways and Interactions (14 papers). The work is most often cited by research in Immunology (17.3k citations), Oncology (7.6k citations), Neurology (1.8k citations), Cancer Research (3.0k citations) and Immunology and Allergy (1.1k citations). Massimo Locati has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alberto Mantovani, Silvano Sozzani, Paola Allavena, Antonello Sica, Antonio Sica, Andrea Vecchi, Graziella Curtale, Fernando O. Martínez, Siamon Gordon and Raffaella Bonecchi. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Journal of Leukocyte Biology, Frontiers in Immunology and Journal of Biological Chemistry.
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.