Grace Dolman

672 total citations
21 papers, 341 citations indexed

About

Grace Dolman is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Grace Dolman has authored 21 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 14 papers in Hepatology and 3 papers in Molecular Biology. Recurrent topics in Grace Dolman's work include Liver Disease Diagnosis and Treatment (12 papers), Hepatitis C virus research (9 papers) and Hepatitis B Virus Studies (7 papers). Grace Dolman is often cited by papers focused on Liver Disease Diagnosis and Treatment (12 papers), Hepatitis C virus research (9 papers) and Hepatitis B Virus Studies (7 papers). Grace Dolman collaborates with scholars based in United Kingdom, United States and Greece. Grace Dolman's co-authors include Patrick Kennedy, Mohammad Ilyas, Guoping Qiu, Jiang Duan, Apostolos Koffas, Antonio Bertoletti, Samuel Litwin, William Mason, Indra Neil Guha and William L. Irving and has published in prestigious journals such as Nucleic Acids Research, Gut and Journal of Hepatology.

In The Last Decade

Grace Dolman

19 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace Dolman United Kingdom 9 149 127 89 58 45 21 341
Maria Francesca Secchi Italy 7 108 0.7× 127 1.0× 127 1.4× 58 1.0× 21 0.5× 8 340
G. Marquitan Germany 10 207 1.4× 122 1.0× 132 1.5× 38 0.7× 56 1.2× 12 386
Yiran Wei China 11 182 1.2× 148 1.2× 77 0.9× 100 1.7× 28 0.6× 27 393
Tai‐Ping Lee United States 9 102 0.7× 55 0.4× 55 0.6× 38 0.7× 27 0.6× 25 317
M Itoh Japan 11 152 1.0× 108 0.9× 120 1.3× 158 2.7× 38 0.8× 39 480
Kazuya Okushin Japan 9 215 1.4× 78 0.6× 86 1.0× 121 2.1× 20 0.4× 28 373
Shuhei Nishiguchi Japan 10 127 0.9× 186 1.5× 55 0.6× 55 0.9× 25 0.6× 13 322
Hong-Di Ma China 10 171 1.1× 208 1.6× 66 0.7× 106 1.8× 30 0.7× 12 386
Miriam Sklair‐Levy Israel 10 118 0.8× 56 0.4× 85 1.0× 80 1.4× 21 0.5× 10 328
Taizo Mori Japan 11 139 0.9× 103 0.8× 50 0.6× 29 0.5× 32 0.7× 25 284

Countries citing papers authored by Grace Dolman

Since Specialization
Citations

This map shows the geographic impact of Grace Dolman'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 Grace Dolman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Dolman more than expected).

Fields of papers citing papers by Grace Dolman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace Dolman. 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 Grace Dolman. The network helps show where Grace Dolman may publish in the future.

Co-authorship network of co-authors of Grace Dolman

This figure shows the co-authorship network connecting the top 25 collaborators of Grace Dolman. A scholar is included among the top collaborators of Grace Dolman 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 Grace Dolman. Grace Dolman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mak, Lung‐Yi, Apostolos Koffas, Grace Dolman, et al.. (2023). Role of HBsAg levels in guiding hepatitis B virus prophylaxis in pregnancy: Insights from a multi‐ethnic cohort. Journal of Viral Hepatitis. 31(1). 3–11. 1 indexed citations
2.
Nielsen, Mette Juul, Grace Dolman, Rebecca Harris, et al.. (2023). PRO-C3 is a predictor of clinical outcomes in distinct cohorts of patients with advanced liver disease. JHEP Reports. 5(6). 100743–100743. 9 indexed citations
3.
Hoad, Caroline L., Mary C. Stephenson, Grace Dolman, et al.. (2022). Comparing magnetic resonance liver fat fraction measurements with histology in fibrosis: the difference between proton density fat fraction and tissue mass fat fraction. Magnetic Resonance Materials in Physics Biology and Medicine. 36(4). 553–563. 5 indexed citations
4.
Dolman, Grace, et al.. (2022). Hepatitis E case series: A UK experience. Journal of Viral Hepatitis. 29(9). 817–822.
5.
Dolman, Grace, et al.. (2021). Clinical and occupational health management of healthcare workers living with chronic hepatitis B: UK policy and international comparisons. Journal of Viral Hepatitis. 28(7). 976–981. 5 indexed citations
6.
Dolman, Grace, Apostolos Koffas, William S. Mason, & Patrick Kennedy. (2018). Why, who and when to start treatment for chronic hepatitis B infection. Current Opinion in Virology. 30. 39–47. 19 indexed citations
7.
8.
Koffas, Apostolos, Grace Dolman, & Patrick Kennedy. (2018). Hepatitis B virus reactivation in patients treated with immunosuppressive drugs: a practical guide for clinicians. Clinical Medicine. 18(3). 212–218. 24 indexed citations
9.
Gill, Upkar S., Nina Le Bert, Kamini Kunasegaran, et al.. (2018). HBV-specific T cell responses in low replicating inactive carrier patients are independent of Hepatitis B surface antigen load. Journal of Hepatology. 68. S793–S794. 2 indexed citations
10.
Kendall, Timothy J., Grace Dolman, Emma C. Paish, et al.. (2018). Hepatic elastin content is predictive of adverse outcome in advanced fibrotic liver disease. Histopathology. 73(1). 90–100. 16 indexed citations
11.
Athwal, Varinder, James Pritchett, Jessica Llewellyn, et al.. (2017). SOX 9 predicts progression toward cirrhosis in patients while its loss protects against liver fibrosis. EMBO Molecular Medicine. 9(12). 1696–1710. 41 indexed citations
12.
Kennedy, Patrick, Samuel Litwin, Grace Dolman, Antonio Bertoletti, & William Mason. (2017). Immune Tolerant Chronic Hepatitis B: The Unrecognized Risks. Viruses. 9(5). 96–96. 57 indexed citations
13.
Dolman, Grace, et al.. (2016). Statistical colour models: an automated digital image analysis method for quantification of histological biomarkers. BioMedical Engineering OnLine. 15(1). 46–46. 85 indexed citations
14.
Leeming, D.J., Grace Dolman, Morten Nielsen, et al.. (2016). True Collagen Type III Formation (Pro-C3) is Predictive of Outcome in HCV Patients with Advanced Liver Fibrosis with in the Trent Study. Journal of Hepatology. 64(2). S719–S720. 3 indexed citations
15.
Dubreuil, Matthieu, Grace Dolman, Abed M. Zaitoun, et al.. (2015). Evaluation of area-based collagen scoring by nonlinear microscopy in chronic hepatitis C-induced liver fibrosis. Biomedical Optics Express. 6(4). 1209–1209. 9 indexed citations
16.
Hoad, Caroline L., Naaventhan Palaniyappan, P Kaye, et al.. (2013). 703 QUANTITATIVE MAGNETIC RESONANCE IMAGING (MRI) IN THE EVALUATION OF THE DEGREE OF STEATOSIS, IRON ACCUMULATION AND FIBROSIS IN CHRONIC LIVER DISEASE (MRker STUDY). Journal of Hepatology. 58. S285–S286. 1 indexed citations
17.
18.
Dolman, Grace, Daan Nieboer, Ewout W. Steyerberg, et al.. (2012). The performance of transient elastography compared to clinical acumen and routine tests – what is the incremental diagnostic value?. Liver International. 33(2). 172–179. 4 indexed citations
19.
Smink, Luc J, Ellen Adlem, James E. Allen, et al.. (2006). T1DBase: integration and presentation of complex data for type 1 diabetes research. Nucleic Acids Research. 35(Database). D742–D746. 55 indexed citations
20.
Dolman, Grace, Jeffrey Tan, & Michael Quinn. (2005). Should the Pap smear be repeated at the first colposcopy visit?. Australian and New Zealand Journal of Obstetrics and Gynaecology. 45(6). 514–517. 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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