Michael DiIorio
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
-
- Circadian rhythm and melatonin 2
- Co-authors
- Makoto KurachiW. Nicholas HainingR. Anthony BarnitzNir YosefE. John WherryMartin G. KlattPamela M. OdorizziJernej Godec
- Journals
- Annals of the Rheumatic Diseases (3 papers)ACR Open Rheumatology (2 papers)Clinical and Experimental Rheumatology (1 paper)Science Immunology (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Michael DiIorio
13 papers receiving 448 citations
Peers
Comparison fields: 5 of 61
- Aging 38
- Immunology 254
- Endocrine and Autonomic Systems 45
- Oncology 145
- Infectious Diseases 50
Countries citing papers authored by Michael DiIorio
This map shows the geographic impact of Michael DiIorio'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 Michael DiIorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael DiIorio more than expected).
Fields of papers citing papers by Michael DiIorio
This network shows the impact of papers produced by Michael DiIorio. 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 Michael DiIorio. The network helps show where Michael DiIorio may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael DiIorio, 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 | 4 | |
| 2 | 2022 | 33 | |
| 3 | 2022 | 24 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 6 | |
| 8 | Follow-up vascular ultrasounds in patients with giant cell arteritis. | 2020 | 9 |
| 9 | 2019 | 1 | |
| 10 | 2018 | 4 | |
| 11 | 2014 | 267 | |
| 12 | 2014 | 59 | |
| 13 | 2013 | 1 |
About Michael DiIorio
Michael DiIorio is a scholar working on Aging, Endocrine and Autonomic Systems, Rheumatology, Genetics and Infectious Diseases, having authored 13 papers that have together received 451 indexed citations. Recurring topics across this work include Vasculitis and related conditions (3 papers), COVID-19 Clinical Research Studies (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Circadian rhythm and melatonin (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (38 citations), Immunology (254 citations), Endocrine and Autonomic Systems (45 citations), Oncology (145 citations) and Infectious Diseases (50 citations). Michael DiIorio has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Makoto Kurachi, W. Nicholas Haining, R. Anthony Barnitz, Nir Yosef, E. John Wherry, Martin G. Klatt, Pamela M. Odorizzi, Jernej Godec, Madeleine E. Lemieux and Aviv Regev. Their work appears in journals such as Annals of the Rheumatic Diseases, ACR Open Rheumatology, Clinical and Experimental Rheumatology, Science Immunology and Nature Immunology.
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.