Stephen F. Carroll
- Immunology top 0.5%
- Molecular Biology top 5%
- Microbiology top 0.5%
- Epidemiology top 5%
- Biotechnology top 0.5%
- Co-authors
- R. John CollierDavid EisenbergLesa J. BeamerDavid McKayViloya S. AlluredUlrich SeydelPatrick J. ScannonMark White
- Topics
- Toxin Mechanisms and Immunotoxins (28 papers)Immune Response and Inflammation (17 papers)Transgenic Plants and Applications (15 papers)
- Cited by
- ImmunologyMicrobiologyBiotechnology
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Stephen F. Carroll
73 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 2.5k
- Molecular Biology 1.4k
- Microbiology 700
- Epidemiology 676
- Biotechnology 585
Countries citing papers authored by Stephen F. Carroll
This map shows the geographic impact of Stephen F. Carroll'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 Stephen F. Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen F. Carroll more than expected).
Fields of papers citing papers by Stephen F. Carroll
This network shows the impact of papers produced by Stephen F. Carroll. 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 Stephen F. Carroll. The network helps show where Stephen F. Carroll may publish in the future.
Co-authorship network of co-authors of Stephen F. Carroll
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen F. Carroll. A scholar is included among the top collaborators of Stephen F. Carroll 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 Stephen F. Carroll. Stephen F. Carroll 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 | 1 | |
| 3 | 28 | |
| 4 | 21 | |
| 5 | 79 | |
| 6 | Slow Release Formulations of Triamcinolone Acetonide (TA) for Intra-Vitreal Injection Provide Sustained TA Concentrations in a Rabbit Pharmacokinetic Model | 1 |
| 7 | 10 | |
| 8 | 22 | |
| 9 | 37 | |
| 10 | 7 | |
| 11 | Relationship between Plasma Levels of Lipopolysaccharide (LPS) and LPS‐Binding Protein in Patients with Severe Sepsis and Septic Shockbreakdown → | 505 |
| 12 | 140 | |
| 13 | 54 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 12 | |
| 17 | 36 | |
| 18 | 20 | |
| 19 | 47 | |
| 20 | 21 |
About Stephen F. Carroll
Stephen F. Carroll is a scholar working on Immunology, Biotechnology and Microbiology, having authored 75 papers that have together received 4.2k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (28 papers), Immune Response and Inflammation (17 papers) and Transgenic Plants and Applications (15 papers). The work is most often cited by research in Immunology (2.5k citations), Microbiology (700 citations) and Biotechnology (585 citations). Stephen F. Carroll has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include R. John Collier, David Eisenberg, Lesa J. Beamer, David McKay, Viloya S. Allured, Ulrich Seydel, Patrick J. Scannon, Mark White, John P. Pribble and Jean‐Louis Vincent. 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.