Carol Hawkins

619 total citations
9 papers, 402 citations indexed

About

Carol Hawkins is a scholar working on Epidemiology, Pathology and Forensic Medicine and Hepatology. According to data from OpenAlex, Carol Hawkins has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Pathology and Forensic Medicine and 4 papers in Hepatology. Recurrent topics in Carol Hawkins's work include Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (3 papers) and Liver Diseases and Immunity (2 papers). Carol Hawkins is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (3 papers) and Liver Diseases and Immunity (2 papers). Carol Hawkins collaborates with scholars based in United States and Japan. Carol Hawkins's co-authors include Jaividhya Dasarathy, Srinivasan Dasarathy, Amer Khiyami, Arthur J. McCullough, Lisa Yerian, Ruth Sargent, George Boon‐Bee Goh, Mangesh Pagadala, Rish K. Pai and Achuthan Sourianarayanane and has published in prestigious journals such as Digestive Diseases and Sciences, Journal of Gastroenterology and Hepatology and Liver International.

In The Last Decade

Carol Hawkins

9 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carol Hawkins United States	6	340	183	134	96	64	9	402
Michihiro Nonaka Japan	6	295 0.9×	173 0.9×	97 0.7×	101 1.1×	86 1.3×	11	441
Ruth Sargent United States	5	266 0.8×	167 0.9×	114 0.9×	50 0.5×	34 0.5×	6	308
Marianna Tarantino Italy	9	380 1.1×	130 0.7×	176 1.3×	51 0.5×	100 1.6×	9	494
Francesca Calella Italy	3	300 0.9×	211 1.2×	73 0.5×	48 0.5×	35 0.5×	5	364
Kristina Önnerhag Sweden	9	313 0.9×	154 0.8×	132 1.0×	105 1.1×	46 0.7×	14	373
H.-Y. Chan United Kingdom	5	487 1.4×	215 1.2×	222 1.7×	79 0.8×	97 1.5×	7	555
Murat Kıyıcı Türkiye	11	305 0.9×	96 0.5×	182 1.4×	35 0.4×	100 1.6×	40	469
Jen Jung Pan United States	6	214 0.6×	105 0.6×	107 0.8×	40 0.4×	104 1.6×	6	343
Jean–Michel Cereda France	6	286 0.8×	166 0.9×	129 1.0×	68 0.7×	114 1.8×	8	390
Eline H. van den Berg Netherlands	14	370 1.1×	230 1.3×	121 0.9×	48 0.5×	56 0.9×	23	515

Countries citing papers authored by Carol Hawkins

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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9 of 9 papers shown

Connick, Peter, D. H. Miller, Sue Pavitt, et al.. (2016). 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. UCL Discovery (University College London). 1 indexed citations

Goh, George Boon‐Bee, Mangesh Pagadala, Jaividhya Dasarathy, et al.. (2015). Age Impacts Ability of Aspartate–Alanine Aminotransferase Ratio to Predict Advanced Fibrosis in Nonalcoholic Fatty Liver Disease. Digestive Diseases and Sciences. 60(6). 1825–1831. 20 indexed citations

Goh, George Boon‐Bee, Danny Issa, Rocío López, et al.. (2015). The development of a non‐invasive model to predict the presence of non‐alcoholic steatohepatitis in patients with non‐alcoholic fatty liver disease. Journal of Gastroenterology and Hepatology. 31(5). 995–1000. 20 indexed citations

Goh, George Boon‐Bee, Mangesh Pagadala, Jaividhya Dasarathy, et al.. (2014). Clinical spectrum of non-alcoholic fatty liver disease in diabetic and non-diabetic patients. PubMed. 3. 141–145. 55 indexed citations

Dasarathy, Srinivasan, Jaividhya Dasarathy, Amer Khiyami, et al.. (2014). Double-blind Randomized Placebo-controlled Clinical Trial of Omega 3 Fatty Acids for the Treatment of Diabetic Patients With Nonalcoholic Steatohepatitis. Journal of Clinical Gastroenterology. 49(2). 137–144. 129 indexed citations

Goh, George Boon‐Bee, Mangesh Pagadala, Jaividhya Dasarathy, et al.. (2014). Renin‐angiotensin system and fibrosis in non‐alcoholic fatty liver disease. Liver International. 35(3). 979–985. 81 indexed citations

Dasarathy, Jaividhya, Pranav Periyalwar, Sanath Allampati, et al.. (2013). Hypovitaminosis D is associated with increased whole body fat mass and greater severity of non‐alcoholic fatty liver disease. Liver International. 34(6). e118–27. 91 indexed citations

Hawkins, Carol, et al.. (2002). [Laparoscopic treatment of hydatid liver cysts].. PubMed. 21(4). 306–11. 2 indexed citations

Mr, Keighley, et al.. (1975). Proceedings: Non-ulcer dyspepsia and surgery.. PubMed. 16(5). 397–397. 3 indexed citations

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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