Carol Hawkins
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Hepatology top 5%
- Pathology and Forensic Medicine
- Surgery
- Co-authors
- Amer KhiyamiJaividhya DasarathySrinivasan DasarathyArthur J. McCulloughRuth SargentLisa YerianMangesh PagadalaGeorge Boon‐Bee Goh
- Topics
- Liver Disease Diagnosis and Treatment (6 papers)Liver Disease and Transplantation (3 papers)Liver Diseases and Immunity (2 papers)
- Journals
- Digestive Diseases and SciencesJournal of Gastroenterology and HepatologyLiver International
- Partner nations
- United StatesJapan
In The Last Decade
Carol Hawkins
9 papers receiving 392 citations
Peers
Comparison fields: 5 of 48
- Epidemiology 340
- Endocrinology, Diabetes and Metabolism 183
- Hepatology 134
- Pathology and Forensic Medicine 96
- Surgery 64
Countries citing papers authored by Carol Hawkins
This map shows the geographic impact of Carol Hawkins'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 Carol Hawkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Hawkins more than expected).
Fields of papers citing papers by Carol Hawkins
This network shows the impact of papers produced by Carol Hawkins. 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 Carol Hawkins. The network helps show where Carol Hawkins may publish in the future.
Co-authorship network of co-authors of Carol Hawkins
This figure shows the co-authorship network connecting the top 25 collaborators of Carol Hawkins. A scholar is included among the top collaborators of Carol Hawkins 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 Carol Hawkins. Carol Hawkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | MS-SMART trial design and recruitment status: a multi-arm phase IIB randomised double blind placebo-controlled clinical trial comparing the efficacy of three repositioned neuroprotective drugs in secondary progressive multiple sclerosis | 1 |
| 2 | 20 | |
| 3 | 20 | |
| 4 | 55 | |
| 5 | 129 | |
| 6 | 81 | |
| 7 | 91 | |
| 8 | [Laparoscopic treatment of hydatid liver cysts]. | 2 |
| 9 | Proceedings: Non-ulcer dyspepsia and surgery. | 3 |
About Carol Hawkins
Carol Hawkins is a scholar working on Hepatology, Pathology and Forensic Medicine and Epidemiology, having authored 9 papers that have together received 402 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (3 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Hepatology (134 citations), Endocrinology, Diabetes and Metabolism (183 citations) and Epidemiology (340 citations). Carol Hawkins has collaborated with scholars based in United States and Japan. Frequent co-authors include Amer Khiyami, Jaividhya Dasarathy, Srinivasan Dasarathy, Arthur J. McCullough, Ruth Sargent, Lisa Yerian, Mangesh Pagadala, George Boon‐Bee Goh, Achuthan Sourianarayanane and Rish K. Pai. Their work appears in journals such as Digestive Diseases and Sciences, Journal of Gastroenterology and Hepatology and Liver International.
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.