Dan Davini
Impact in
- Immunology top 5%
- 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
Papers in ⓘ
-
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
-
- Hematopoietic Stem Cell Transplantation 3
- Co-authors
- Jeffrey A. Bluestone (3 shared papers)Cédric Louvet (2 shared papers)James M. Gardner (1 shared paper)Francis M. Sverdrup (1 shared paper)Richard D. Head (1 shared paper)David J. Weiss (1 shared paper)Mahesh Yadav (1 shared paper)David von Schack (1 shared paper)
- Journals
- Brain Behavior and Immunity (2 papers)The Journal of Immunology (2 papers)Journal of Autoimmunity (2 papers)Frontiers in Immunology (2 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Dan Davini
12 papers receiving 745 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Immunology 554
- Biological Psychiatry 17
- Transplantation 11
- Neurology 58
- Oncology 99
Countries citing papers authored by Dan Davini
This map shows the geographic impact of Dan Davini'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 Dan Davini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Davini more than expected).
Fields of papers citing papers by Dan Davini
This network shows the impact of papers produced by Dan Davini. 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 Dan Davini. The network helps show where Dan Davini may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Davini, 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 | Neuropilin-1 distinguishes natural and inducible regulatory T cells among regulatory T cell subsets in vivo Hit paper breakdown → | 2012 | 519 |
| 2 | 2013 | 61 | |
| 3 | 2018 | 49 | |
| 4 | 2009 | 42 | |
| 5 | 2012 | 37 | |
| 6 | 2013 | 15 | |
| 7 | 2016 | 13 | |
| 8 | 2020 | 7 | |
| 9 | 2023 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 |
About Dan Davini
Dan Davini is a scholar working on Immunology, Hematology, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 748 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Hereditary Neurological Disorders (2 papers), Immunotherapy and Immune Responses (2 papers), Peripheral Neuropathies and Disorders (2 papers), Stress Responses and Cortisol (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Immunology (554 citations), Biological Psychiatry (17 citations), Transplantation (11 citations), Neurology (58 citations) and Oncology (99 citations). Dan Davini has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Jeffrey A. Bluestone, Cédric Louvet, James M. Gardner, Francis M. Sverdrup, Richard D. Head, David J. Weiss, Mahesh Yadav, David von Schack, Daniel J. Kuster and Bryan A. Anthony. Their work appears in journals such as Brain Behavior and Immunity, The Journal of Immunology, Journal of Autoimmunity, Frontiers in Immunology 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.