Shani Austin‐Williams
- Molecular Biology
- Pediatrics, Perinatology and Child Health
- Immunology
- Obstetrics and Gynecology top 10%
- Nutrition and Dietetics
- Co-authors
- Lucy V. NorlingSilvia OggeroJesmond DalliRoberta De MatteisRomain A. ColasMichael P. MurphyAngela LoganEmily J. Camm
- Topics
- Extracellular vesicles in disease (6 papers)Pregnancy and preeclampsia studies (2 papers)Immune Response and Inflammation (2 papers)
- Journals
- Proceedings of the National Academy of SciencesThe FASEB JournalFree Radical Biology and Medicine
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Shani Austin‐Williams
11 papers receiving 327 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 136
- Pediatrics, Perinatology and Child Health 89
- Immunology 82
- Obstetrics and Gynecology 81
- Nutrition and Dietetics 41
Countries citing papers authored by Shani Austin‐Williams
This map shows the geographic impact of Shani Austin‐Williams'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 Shani Austin‐Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shani Austin‐Williams more than expected).
Fields of papers citing papers by Shani Austin‐Williams
This network shows the impact of papers produced by Shani Austin‐Williams. 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 Shani Austin‐Williams. The network helps show where Shani Austin‐Williams may publish in the future.
Co-authorship network of co-authors of Shani Austin‐Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Shani Austin‐Williams. A scholar is included among the top collaborators of Shani Austin‐Williams 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 Shani Austin‐Williams. Shani Austin‐Williams 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 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 6 | |
| 7 | 41 | |
| 8 | 5 | |
| 9 | 29 | |
| 10 | 23 | |
| 11 | 70 | |
| 12 | 78 | |
| 13 | 48 |
About Shani Austin‐Williams
Shani Austin‐Williams is a scholar working on Immunology and Allergy, Immunology and Obstetrics and Gynecology, having authored 13 papers that have together received 328 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Pregnancy and preeclampsia studies (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Obstetrics and Gynecology (81 citations), Pediatrics, Perinatology and Child Health (89 citations) and Immunology (82 citations). Shani Austin‐Williams has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Lucy V. Norling, Silvia Oggero, Jesmond Dalli, Roberta De Matteis, Romain A. Colas, Michael P. Murphy, Angela Logan, Emily J. Camm, Megan R. Sutherland and Thomas J. Ashmore. Their work appears in journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and Free Radical Biology and Medicine.
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.