Nicholas M. Valiante
- Immunology top 0.1%
- Molecular Biology top 5%
- Epidemiology top 2%
- Oncology top 2%
- Infectious Diseases top 2%
- Co-authors
- Annalisa D’AndreaGiorgio TrinchieriPeter ParhamMarek KubinLewis L. LanierMiguel Aste-AmézagaDerek T. O’HaganXiaojing Ma
- Topics
- Immune Cell Function and Interaction (33 papers)T-cell and B-cell Immunology (25 papers)Immunotherapy and Immune Responses (16 papers)
- Cited by
- ImmunologyAgingVirology
- Journals
- Proceedings of the National Academy of SciencesNature MedicineThe Journal of Experimental Medicine
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Nicholas M. Valiante
50 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Immunology 7.1k
- Molecular Biology 1.5k
- Epidemiology 1.5k
- Oncology 993
- Infectious Diseases 720
Countries citing papers authored by Nicholas M. Valiante
This map shows the geographic impact of Nicholas M. Valiante'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 Nicholas M. Valiante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas M. Valiante more than expected).
Fields of papers citing papers by Nicholas M. Valiante
This network shows the impact of papers produced by Nicholas M. Valiante. 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 Nicholas M. Valiante. The network helps show where Nicholas M. Valiante may publish in the future.
Co-authorship network of co-authors of Nicholas M. Valiante
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas M. Valiante. A scholar is included among the top collaborators of Nicholas M. Valiante 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 Nicholas M. Valiante. Nicholas M. Valiante is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 35 | |
| 4 | 23 | |
| 5 | 64 | |
| 6 | 159 | |
| 7 | 435 | |
| 8 | 329 | |
| 9 | 114 | |
| 10 | 82 | |
| 11 | 56 | |
| 12 | Human Diversity in Killer Cell Inhibitory Receptor Genesbreakdown → | 878 |
| 13 | 95 | |
| 14 | 10 | |
| 15 | 115 | |
| 16 | 132 | |
| 17 | 192 | |
| 18 | 44 | |
| 19 | Production of natural killer cell stimulatory factor (interleukin 12) by peripheral blood mononuclear cells.breakdown → | 1025 |
| 20 | 142 |
About Nicholas M. Valiante
Nicholas M. Valiante is a scholar working on Immunology, Hepatology and Microbiology, having authored 50 papers that have together received 9.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (33 papers), T-cell and B-cell Immunology (25 papers) and Immunotherapy and Immune Responses (16 papers). The work is most often cited by research in Immunology (7.1k citations), Aging (168 citations) and Virology (339 citations). Nicholas M. Valiante has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Annalisa D’Andrea, Giorgio Trinchieri, Peter Parham, Marek Kubin, Lewis L. Lanier, Miguel Aste-Amézaga, Derek T. O’Hagan, Xiaojing Ma, Heather Shilling and Markus Uhrberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Experimental Medicine.
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.