A F Suffredini
- Epidemiology top 5%
- Immunology top 5%
- Molecular Biology
- Physiology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Robert L. DannerJoseph E. ParrilloFrederick P. OgnibeneCharles NatansonMargaret M. ParkerRobert E. CunnionG. Daniel MartichM. Ceska
- Topics
- Immune Response and Inflammation (9 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers)Pneumocystis jirovecii pneumonia detection and treatment (3 papers)
- Partner nations
- United StatesNorwayCanada
In The Last Decade
A F Suffredini
23 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Epidemiology 935
- Immunology 827
- Molecular Biology 398
- Physiology 293
- Pulmonary and Respiratory Medicine 291
Countries citing papers authored by A F Suffredini
This map shows the geographic impact of A F Suffredini'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 A F Suffredini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A F Suffredini more than expected).
Fields of papers citing papers by A F Suffredini
This network shows the impact of papers produced by A F Suffredini. 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 A F Suffredini. The network helps show where A F Suffredini may publish in the future.
Co-authorship network of co-authors of A F Suffredini
This figure shows the co-authorship network connecting the top 25 collaborators of A F Suffredini. A scholar is included among the top collaborators of A F Suffredini 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 A F Suffredini. A F Suffredini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 14 | |
| 3 | 58 | |
| 4 | Recombinant tumor necrosis factor receptor p75 fusion protein (TNFR:Fc) alters endotoxin-induced activation of the kinin, fibrinolytic, and coagulation systems in normal humans. | 45 |
| 5 | 166 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 46 | |
| 10 | 97 | |
| 11 | 65 | |
| 12 | 67 | |
| 13 | 33 | |
| 14 | 373 | |
| 15 | 5 | |
| 16 | Septic Shock in Humansbreakdown → | 926 |
| 17 | 13 | |
| 18 | 91 | |
| 19 | 28 | |
| 20 | 67 |
About A F Suffredini
A F Suffredini is a scholar working on Critical Care and Intensive Care Medicine, Immunology and Behavioral Neuroscience, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (214 citations), Immunology (827 citations) and Epidemiology (935 citations). A F Suffredini has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Robert L. Danner, Joseph E. Parrillo, Frederick P. Ognibene, Charles Natanson, Margaret M. Parker, Robert E. Cunnion, G. Daniel Martich, M. Ceska, Margaret Tropea and Debra Reda. Their work appears in journals such as The Journal of Experimental Medicine, Annals of Internal Medicine and The Journal of 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.