Angelo Guglielmotti
- Immunology top 5%
- Molecular Biology
- Oncology top 5%
- Surgery top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Mario PinzaAlberto MantovaniRaina RamnathMadhav BhatiaAnnunciata VecchiGiuseppe BiondiClaudio MilaneseBruno Silvestrini
- Topics
- Chemokine receptors and signaling (13 papers)Immune Response and Inflammation (7 papers)Inflammatory mediators and NSAID effects (7 papers)
- Cited by
- ImmunologyOncologyNeurology
- Journals
- Journal of NeuroscienceThe Journal of ImmunologyJournal of the American College of Cardiology
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Angelo Guglielmotti
59 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 109
- Immunology 818
- Molecular Biology 573
- Oncology 566
- Surgery 347
- Public Health, Environmental and Occupational Health 287
Countries citing papers authored by Angelo Guglielmotti
This map shows the geographic impact of Angelo Guglielmotti'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 Angelo Guglielmotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Guglielmotti more than expected).
Fields of papers citing papers by Angelo Guglielmotti
This network shows the impact of papers produced by Angelo Guglielmotti. 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 Angelo Guglielmotti. The network helps show where Angelo Guglielmotti may publish in the future.
Co-authorship network of co-authors of Angelo Guglielmotti
This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Guglielmotti. A scholar is included among the top collaborators of Angelo Guglielmotti 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 Angelo Guglielmotti. Angelo Guglielmotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 56 | |
| 5 | 15 | |
| 6 | 109 | |
| 7 | 28 | |
| 8 | 26 | |
| 9 | 236 | |
| 10 | 67 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 15 | |
| 14 | 63 | |
| 15 | 6 | |
| 16 | 245 | |
| 17 | 42 | |
| 18 | A small synthetic molecule capable of preferentially inhibiting the production of the CC chemokine monocyte chemotactic protein-1. | 26 |
| 19 | 71 | |
| 20 | 23 |
About Angelo Guglielmotti
Angelo Guglielmotti is a scholar working on Immunology and Allergy, Immunology and Pharmacology, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (13 papers), Immune Response and Inflammation (7 papers) and Inflammatory mediators and NSAID effects (7 papers). The work is most often cited by research in Immunology (818 citations), Oncology (566 citations) and Neurology (147 citations). Angelo Guglielmotti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Mario Pinza, Alberto Mantovani, Raina Ramnath, Madhav Bhatia, Annunciata Vecchi, Giuseppe Biondi, Claudio Milanese, Bruno Silvestrini, Isabella Coletta and Marina Sironi. Their work appears in journals such as Journal of Neuroscience, The Journal of Immunology and Journal of the American College of Cardiology.
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.