C A Dinarello
- Immunology top 0.1%
- Molecular Biology top 2%
- Epidemiology top 0.5%
- Physiology top 1%
- Nutrition and Dietetics top 0.2%
- Co-authors
- S. M. WolffJoseph G. CannonPeter Juel Thiis KnudsenGiamila FantuzziJeffrey A. GelfandTakashi IkejimaAnthony CeramiRaymond J. Connolly
- Topics
- Immune Response and Inflammation (45 papers)Immune Cell Function and Interaction (24 papers)Cytokine Signaling Pathways and Interactions (11 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
C A Dinarello
136 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Immunology 7.1k
- Molecular Biology 3.8k
- Epidemiology 2.7k
- Physiology 1.9k
- Nutrition and Dietetics 1.8k
Countries citing papers authored by C A Dinarello
This map shows the geographic impact of C A Dinarello'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 C A Dinarello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C A Dinarello more than expected).
Fields of papers citing papers by C A Dinarello
This network shows the impact of papers produced by C A Dinarello. 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 C A Dinarello. The network helps show where C A Dinarello may publish in the future.
Co-authorship network of co-authors of C A Dinarello
This figure shows the co-authorship network connecting the top 25 collaborators of C A Dinarello. A scholar is included among the top collaborators of C A Dinarello 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 C A Dinarello. C A Dinarello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 401 | |
| 3 | 29 | |
| 4 | 16 | |
| 5 | 6 | |
| 6 | 114 | |
| 7 | 21 | |
| 8 | 70 | |
| 9 | 42 | |
| 10 | 288 | |
| 11 | 57 | |
| 12 | 207 | |
| 13 | Oral (n-3) Fatty Acid Supplementation Suppresses Cytokine Production and Lymphocyte Proliferation: Comparison between Young and Older Womenbreakdown → | 551 |
| 14 | Interleukin 1 induces a shock-like state in rabbits. Synergism with tumor necrosis factor and the effect of cyclooxygenase inhibition.breakdown → | 781 |
| 15 | 131 | |
| 16 | 56 | |
| 17 | 8 | |
| 18 | Actions of endotoxin, interleukin-I and tumor-necrosis-factor on arachidonic-acid metabolism in human amnion cells | 2 |
| 19 | 273 | |
| 20 | Interleukin 1 and the brain | 2 |
About C A Dinarello
C A Dinarello is a scholar working on Immunology, Critical Care and Intensive Care Medicine and Nephrology, having authored 138 papers that have together received 16.3k indexed citations. Recurring topics across this work include Immune Response and Inflammation (45 papers), Immune Cell Function and Interaction (24 papers) and Cytokine Signaling Pathways and Interactions (11 papers). The work is most often cited by research in Immunology (7.1k citations), Immunology and Allergy (810 citations) and Behavioral Neuroscience (451 citations). C A Dinarello has collaborated with scholars based in United States, France and Italy. Frequent co-authors include S. M. Wolff, Joseph G. Cannon, Peter Juel Thiis Knudsen, Giamila Fantuzzi, Jeffrey A. Gelfand, Takashi Ikejima, Anthony Cerami, Raymond J. Connolly, Seijiro Okusawa and Stefan Endres. Their work appears in journals such as JAMA, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.