C A Dinarello

5.1k total citations · 3 hit papers
24 papers, 4.1k citations indexed

About

C A Dinarello is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, C A Dinarello has authored 24 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in C A Dinarello's work include Immune Response and Inflammation (9 papers), Machine Learning in Bioinformatics (2 papers) and Influenza Virus Research Studies (2 papers). C A Dinarello is often cited by papers focused on Immune Response and Inflammation (9 papers), Machine Learning in Bioinformatics (2 papers) and Influenza Virus Research Studies (2 papers). C A Dinarello collaborates with scholars based in United States, France and Germany. C A Dinarello's co-authors include S. M. Wolff, Lanny J. Rosenwasser, Philip E. Auron, Andrew C. Webb, A Rich, Gerhard Lonnemann, Stefan Endres, John F. Burke, Edouard Vannier and Laurie C. Miller and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

C A Dinarello

24 papers receiving 3.9k citations

Hit Papers

Interleukin-1 1984 2026 1998 2012 1984 1984 1990 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C A Dinarello United States 17 2.0k 1.2k 604 377 351 24 4.1k
Daniel N. Sauder Canada 39 1.8k 0.9× 963 0.8× 690 1.1× 455 1.2× 414 1.2× 122 5.2k
Stephen P. Eisenberg United States 29 2.6k 1.3× 1.7k 1.5× 674 1.1× 656 1.7× 309 0.9× 42 5.4k
G. Gordon MacPherson United Kingdom 31 3.8k 1.9× 1.1k 1.0× 518 0.9× 530 1.4× 319 0.9× 67 6.0k
Charles A. Dinarello United States 20 1.3k 0.7× 822 0.7× 545 0.9× 256 0.7× 305 0.9× 25 3.2k
David Hesse United States 11 2.0k 1.0× 901 0.8× 1.1k 1.8× 384 1.0× 511 1.5× 21 4.2k
D I Beller United States 33 3.0k 1.5× 898 0.8× 409 0.7× 542 1.4× 331 0.9× 51 4.7k
Lawrence B. Lachman United States 33 2.7k 1.4× 1.4k 1.2× 427 0.7× 757 2.0× 317 0.9× 66 5.1k
S B Mizel United States 32 3.3k 1.7× 1.7k 1.5× 389 0.6× 773 2.1× 351 1.0× 46 5.8k
Daniel E. Tracey United States 25 2.6k 1.3× 2.1k 1.8× 685 1.1× 506 1.3× 260 0.7× 50 5.4k
H A Bernheim United States 17 1.4k 0.7× 640 0.6× 461 0.8× 284 0.8× 299 0.9× 22 3.0k

Countries citing papers authored by C A Dinarello

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Dinarello, C A. (1998). Role of pro- and anti-inflammatory cytokines during inflammation: experimental and clinical findings.. PubMed. 11(3). 91–103. 163 indexed citations
2.
Dinarello, C A, et al.. (1997). Fever.. PubMed. 24(3). 288–98. 9 indexed citations
3.
Beasley, Donald E., et al.. (1995). Human vascular smooth muscle cells produce an intracellular form of interleukin-1 receptor antagonist. American Journal of Physiology-Cell Physiology. 269(4). C961–C968. 29 indexed citations
4.
Dinarello, C A. (1995). The biological properties of interleukin-1.. PubMed. 5(6). 517–31. 275 indexed citations
5.
Shapiro, Leland, et al.. (1993). Ciliary neurotrophic factor is an endogenous pyrogen.. Proceedings of the National Academy of Sciences. 90(18). 8614–8618. 44 indexed citations
6.
Dinarello, C A. (1993). Anticytokine strategies in the treatment of the systemic inflammatory response syndrome. JAMA. 269(14). 1829–1835. 55 indexed citations
7.
Houba, V., C A Dinarello, Arthur G. Johnson, et al.. (1992). Protodyne: an immunostimulatory protein component, prepared from gram-positive Bacillus subtilis.. PubMed. 77. 121–8. 2 indexed citations
8.
Houba, V., et al.. (1991). Protodyne: an immunomodulatory protein component, prepared from bacillus subtilis. Radboud Repository (Radboud University). 7(3). 109–116. 4 indexed citations
9.
Vannier, Edouard, Laurie C. Miller, & C A Dinarello. (1991). Histamine suppresses gene expression and synthesis of tumor necrosis factor alpha via histamine H2 receptors.. The Journal of Experimental Medicine. 174(1). 281–284. 137 indexed citations
10.
Dinarello, C A & Ralf Schindler. (1990). 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.. PubMed. 349. 195–204. 7 indexed citations
11.
Loppnow, Harald, Helmut Brade, C A Dinarello, et al.. (1990). Lipid A, the Immunostimulatory Principle of Lipopolysaccharides ?. Advances in experimental medicine and biology. 256. 561–566. 12 indexed citations
12.
Cannon, Joseph G., Ronald G. Tompkins, Jeffrey A. Gelfand, et al.. (1990). Circulating Interleukin-1 and Tumor Necrosis Factor in Septic Shock and Experimental Endotoxin Fever. The Journal of Infectious Diseases. 161(1). 79–84. 623 indexed citations breakdown →
13.
Cominelli, Fabio, et al.. (1990). Interleukin 1 suppresses inflammation in rabbit colitis. Mediation by endogenous prostaglandins.. Journal of Clinical Investigation. 85(2). 582–586. 64 indexed citations
14.
Schindler, Ralf & C A Dinarello. (1990). Ultrafiltration to remove endotoxins and other cytokine-inducing materials from tissue culture media and parenteral fluids.. PubMed. 8(4). 408–13. 32 indexed citations
15.
Shaldon, Stanley, C A Dinarello, F K Port, & Matthew J. Kluger. (1988). Interleukin‐1: The Pros and Cons of Its Clinical Relevance. Artificial Organs. 12(3). 221–221. 4 indexed citations
16.
Cannon, J. G., Dominic Kwiatkowski, Stefan Endres, et al.. (1988). Interleukin-1 beta in human plasma: optimization of blood collection, plasma extraction, and radioimmunoassay methods.. PubMed. 7(4). 457–67. 104 indexed citations
17.
Lonnemann, Gerhard, et al.. (1987). ENHANCEMENT OF IN-VITRO HUMAN INTERLEUKIN-1 PRODUCTION BY SODIUM ACETATE. The Lancet. 329(8523). 14–16. 107 indexed citations
18.
Telzak, Edward E., S. M. Wolff, C A Dinarello, et al.. (1986). Clinical Evaluation of the Immunoadjuvant Murabutide, a Derivative of MDP, Administered with a Tetanus Toxoid Vaccine. The Journal of Infectious Diseases. 153(3). 628–633. 46 indexed citations
19.
Auron, Philip E., Andrew C. Webb, Lanny J. Rosenwasser, et al.. (1984). Nucleotide sequence of human monocyte interleukin 1 precursor cDNA.. Proceedings of the National Academy of Sciences. 81(24). 7907–7911. 864 indexed citations breakdown →
20.
Dinarello, C A. (1984). Interleukin-1. Clinical Infectious Diseases. 6(1). 51–95. 1418 indexed citations breakdown →

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.

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