Anne Mackie

1.1k total citations · 1 hit paper
19 papers, 645 citations indexed

About

Anne Mackie is a scholar working on Epidemiology, Oncology and Surgery. According to data from OpenAlex, Anne Mackie has authored 19 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Oncology and 3 papers in Surgery. Recurrent topics in Anne Mackie's work include Global Cancer Incidence and Screening (4 papers), Cervical Cancer and HPV Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Anne Mackie is often cited by papers focused on Global Cancer Incidence and Screening (4 papers), Cervical Cancer and HPV Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Anne Mackie collaborates with scholars based in United Kingdom, United States and Belgium. Anne Mackie's co-authors include John Dillon, Martine Walmsley, Richard J. Hall, Mark Hudson, Edmund Godfrey, Robert Mitchell-Thain, R Cramb, Karen Sennett, Suzanne Davison and Andrew Langford and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Gut.

In The Last Decade

Anne Mackie

18 papers receiving 627 citations

Hit Papers

Guidelines on the management of abnormal liver blood tests 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Guidelines on the management of abnormal liver blood tests
    2017 340 citations Philip N. Newsome, R Cramb et al. Gut profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Mackie United Kingdom 10 246 150 92 85 69 19 645
Pochamana Phisalprapa Thailand 15 280 1.1× 121 0.8× 104 1.1× 163 1.9× 83 1.2× 83 740
B. Cho South Korea 7 127 0.5× 41 0.3× 90 1.0× 32 0.4× 69 1.0× 10 674
Wei Liao China 15 222 0.9× 91 0.6× 59 0.6× 42 0.5× 80 1.2× 51 608
Muhammad Radzi Abu Hassan Malaysia 16 216 0.9× 133 0.9× 77 0.8× 29 0.3× 223 3.2× 87 832
Natalino Salgado Filho Brazil 16 136 0.6× 48 0.3× 154 1.7× 56 0.7× 43 0.6× 76 822
Zhiyi Wang China 12 149 0.6× 57 0.4× 67 0.7× 36 0.4× 40 0.6× 54 492
Tea Lund Laursen Denmark 14 368 1.5× 213 1.4× 85 0.9× 76 0.9× 27 0.4× 34 759
Shipeng Yan China 14 231 0.9× 61 0.4× 69 0.8× 74 0.9× 72 1.0× 33 548
Andrea Dalbeni Italy 18 458 1.9× 132 0.9× 145 1.6× 180 2.1× 118 1.7× 82 1.3k
Yoon‐Ok Ahn South Korea 17 144 0.6× 64 0.4× 238 2.6× 71 0.8× 169 2.4× 48 1.1k

Countries citing papers authored by Anne Mackie

Since Specialization
Citations

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

Fields of papers citing papers by Anne Mackie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Mackie

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

All Works

19 of 19 papers shown
1.
Mathews, Christopher, Alexandra Sargent, Kate Cuschieri, et al.. (2025). HPValidate—human papillomavirus testing with DNA and mRNA assays on self-collected samples in cervical screening: comparison of test characteristics on three self-sampling devices. British Journal of Cancer. 133(5). 665–673. 1 indexed citations
2.
Callender, Thomas, Katherine Payne, Nora Pashayan, & Anne Mackie. (2025). Screening for multiple cancers: evaluation must go beyond aggregate measures. BMJ. 388. e081098–e081098. 1 indexed citations
3.
Zhelev, Zhivko, Christopher Hyde, Catherine Egan, et al.. (2025). Generating evidence to support the role of AI in diabetic eye screening: considerations from the UK National Screening Committee. The Lancet Digital Health. 7(5). 100840–100840. 3 indexed citations
4.
5.
Chalkidou, Anastasia, Farhad Shokraneh, Sian Taylor‐Phillips, et al.. (2022). Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening. The Lancet Digital Health. 4(12). e899–e905. 14 indexed citations
6.
Bobrowska, Anna, Farah Seedat, Cristina Visintin, et al.. (2022). Targeted screening in the UK: A narrow concept with broad application. The Lancet Regional Health - Europe. 16. 100353–100353. 9 indexed citations
7.
Duffy, Stephen W., Farah Seedat, Olive Kearins, et al.. (2022). The projected impact of the COVID-19 lockdown on breast cancer deaths in England due to the cessation of population screening: a national estimation. British Journal of Cancer. 126(9). 1355–1361. 29 indexed citations
8.
Taylor‐Phillips, Sian, Farah Seedat, John K. Marshall, et al.. (2022). UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening. The Lancet Digital Health. 4(7). e558–e565. 29 indexed citations
9.
Attilakos, George, Christopher Hyde, Anne Mackie, et al.. (2022). The impact of ultrasound-based antenatal screening strategies to detect vasa praevia in the United Kingdom: An exploratory study using decision analytic modelling methods. PLoS ONE. 17(12). e0279229–e0279229. 6 indexed citations
10.
11.
Seedat, Farah, Julia Geppert, Chris Stinton, et al.. (2019). Universal antenatal screening for group B streptococcus may cause more harm than good. BMJ. 364. l463–l463. 23 indexed citations
12.
Raffle, Angela E., Anne Mackie, & J. A. Muir Gray. (2019). Screening. 41 indexed citations
13.
Newsome, Philip N., R Cramb, Suzanne Davison, et al.. (2017). Guidelines on the management of abnormal liver blood tests. Gut. 67(1). 6–19. 340 indexed citations breakdown →
14.
Mackie, Anne, et al.. (2012). Reflection as part of continuous professional development for public health professionals: a literature review. Journal of Public Health. 35(2). 308–312. 52 indexed citations
15.
Macleod, Kenneth I. E., et al.. (2007). A review of the job satisfaction and current practice of consultant diabetologists in England—barriers and successes. Diabetic Medicine. 24(9). 946–954. 4 indexed citations
16.
Wang, Weifang, Bettina Hause, Willy J. Peumans, et al.. (2003). The Tn Antigen-Specific Lectin from Ground Ivy Is an Insecticidal Protein with an Unusual Physiology. PLANT PHYSIOLOGY. 132(3). 1322–1334. 29 indexed citations
17.
Bunston, Terry, et al.. (1995). Identifying the nonmedical concerns of patients with ocular melanoma.. PubMed. 13(5). 227–37. 7 indexed citations
18.
Groop, Per‐Henrik, Giancarlo Viberti, Rogério Friedman, et al.. (1994). Lipoprotein(a) in Type 1 Diabetic Patients with Renal Disease. Diabetic Medicine. 11(10). 961–967. 13 indexed citations
19.
Mackie, Anne, Muriel Caslake, Christopher J. Packard, & James Shepherd. (1981). Concentration and distribution of human plasma apolipoprotein E. Clinica Chimica Acta. 116(1). 35–45. 41 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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