C A Dinarello
- Immunology top 1%
- Molecular Biology top 10%
- Epidemiology top 5%
- Oncology top 10%
- Physiology top 10%
- Co-authors
- S. M. WolffA RichLanny J. RosenwasserPhilip E. AuronAndrew C. WebbGerhard LonnemannStefan EndresJohn F. Burke
- Topics
- Immune Response and Inflammation (9 papers)Influenza Virus Research Studies (2 papers)Machine Learning in Bioinformatics (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
C A Dinarello
24 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 2.0k
- Molecular Biology 1.2k
- Epidemiology 604
- Oncology 377
- Physiology 351
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 | Role of pro- and anti-inflammatory cytokines during inflammation: experimental and clinical findings. | 163 |
| 2 | 29 | |
| 3 | The biological properties of interleukin-1. | 275 |
| 4 | 44 | |
| 5 | 55 | |
| 6 | Protodyne: an immunostimulatory protein component, prepared from gram-positive Bacillus subtilis. | 2 |
| 7 | Protodyne: an immunomodulatory protein component, prepared from bacillus subtilis | 4 |
| 8 | 137 | |
| 9 | Circulating Interleukin-1 and Tumor Necrosis Factor in Septic Shock and Experimental Endotoxin Feverbreakdown → | 623 |
| 10 | 64 | |
| 11 | 12 | |
| 12 | Dissociation of transcription from translation of human IL-1-beta: the induction of steady state mRNA by adherence or recombinant C5a in the absence of translation. | 7 |
| 13 | 68 | |
| 14 | 4 | |
| 15 | Interleukin-1 beta in human plasma: optimization of blood collection, plasma extraction, and radioimmunoassay methods. | 104 |
| 16 | 107 | |
| 17 | 46 | |
| 18 | 56 | |
| 19 | Nucleotide sequence of human monocyte interleukin 1 precursor cDNA.breakdown → | 864 |
| 20 | Interleukin-1breakdown → | 1418 |
About C A Dinarello
C A Dinarello is a scholar working on Immunology, Critical Care and Intensive Care Medicine and Immunology and Allergy, having authored 24 papers that have together received 4.1k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Influenza Virus Research Studies (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Immunology (2.0k citations), Behavioral Neuroscience (157 citations) and Biological Psychiatry (72 citations). C A Dinarello has collaborated with scholars based in United States, Germany and France. Frequent co-authors include S. M. Wolff, A Rich, Lanny J. Rosenwasser, Philip E. Auron, Andrew C. Webb, Gerhard Lonnemann, Stefan Endres, John F. Burke, Laurie C. Miller and Edouard Vannier. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.