Hilary Martin

1.9k total citations · 1 hit paper
39 papers, 1.4k citations indexed

About

Hilary Martin is a scholar working on Oncology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hilary Martin has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 7 papers in Cancer Research and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hilary Martin's work include Breast Cancer Treatment Studies (6 papers), Intellectual Property and Patents (5 papers) and Reproductive Biology and Fertility (3 papers). Hilary Martin is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Intellectual Property and Patents (5 papers) and Reproductive Biology and Fertility (3 papers). Hilary Martin collaborates with scholars based in Australia, United States and Germany. Hilary Martin's co-authors include Tuğrul Daim, Pisek Gerdsri, Charles W. Bamforth, Muhammad A. Khattak, Andrew R. Davidson, Thomas C. Wainwright, Michael Phillips, Andrew Ddembe Kiberu, Christos S. Karapetis and Susan Kim and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Annals of Oncology.

In The Last Decade

Hilary Martin

34 papers receiving 1.3k citations

Hit Papers

Forecasting emerging tech... 2006 2026 2012 2019 2006 250 500 750
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. Forecasting emerging technologies: Use of bibliometrics and patent analysis
    2006 800 citations Tuğrul Daim, Hilary Martin et al. Technological Forecasting and Social Change profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hilary Martin Australia 12 319 272 243 226 226 39 1.4k
Vijay Sethi United States 27 84 0.3× 394 1.4× 462 1.9× 152 0.7× 33 0.1× 80 3.3k
Yu‐Cheng Lee Taiwan 29 268 0.8× 343 1.3× 241 1.0× 378 1.7× 60 0.3× 92 2.4k
Weihua Liu China 33 211 0.7× 135 0.5× 1.7k 6.9× 292 1.3× 229 1.0× 156 3.5k
Chi‐Cheng Huang Taiwan 21 83 0.3× 258 0.9× 194 0.8× 246 1.1× 50 0.2× 102 1.6k
Fariba Goodarzian United States 31 108 0.3× 84 0.3× 1.0k 4.2× 209 0.9× 156 0.7× 89 2.6k
Christopher O’Brien United States 26 82 0.3× 104 0.4× 326 1.3× 192 0.8× 39 0.2× 70 2.8k
Jinjoo Lee South Korea 21 259 0.8× 31 0.1× 410 1.7× 118 0.5× 274 1.2× 58 1.3k
Anna Fredriksson Sweden 19 73 0.2× 83 0.3× 302 1.2× 183 0.8× 27 0.1× 84 1.2k
Juliang Zhang China 29 27 0.1× 230 0.8× 510 2.1× 288 1.3× 66 0.3× 135 2.3k
Jason C. Hsu United States 19 36 0.1× 60 0.2× 98 0.4× 117 0.5× 298 1.3× 91 2.4k

Countries citing papers authored by Hilary Martin

Since Specialization
Citations

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

Fields of papers citing papers by Hilary Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hilary Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Hilary Martin. A scholar is included among the top collaborators of Hilary Martin 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 Hilary Martin. Hilary Martin 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.
Küemmel, Sherko, Kyung Hae Jung, Daniele Xavier Assad, et al.. (2025). Safety and efficacy of tiragolumab, atezolizumab and chemotherapy for early-stage or PD-L1-positive advanced triple-negative breast cancer: a phase Ib study. ESMO Open. 10(12). 105869–105869.
2.
Martin, Hilary, Christobel Saunders, Andrew Redfern, & Martha Hickey. (2024). A Dedicated Menopausal After Cancer Clinic May Improve Adherence to Endocrine Therapy For Breast Cancer: A Population Based Study. Clinical Breast Cancer. 24(8). e731–e736.
3.
Martin, Hilary & Andrew Redfern. (2024). Bone mineral density fall during aromatase inhibitor treatment may predict lower breast cancer recurrence. Cancer Medicine. 13(1). e6846–e6846. 1 indexed citations
4.
Martin, Hilary, Shahid Ullah, Ganessan Kichenadasse, et al.. (2021). Predicting chemotherapy‐induced menopause using baseline and post‐chemotherapy anti‐Müllerian hormone levels: Results of a pilot study. Cancer Reports. 4(3). e1342–e1342. 3 indexed citations
5.
Martin, Hilary, et al.. (2020). 338P Defining pathway: A novel analysis of geriatric indigenous women with breast cancer impacting survival and outcomes. Annals of Oncology. 31. S382–S382. 1 indexed citations
6.
7.
Koczwara, Bogda, Shahid Ullah, Fiona Young, et al.. (2019). A prospective study of anti-mullerian hormone (AMH) as a predictor of chemotherapy-induced menopause.. Journal of Clinical Oncology. 37(15_suppl). e23076–e23076. 1 indexed citations
8.
9.
Khattak, Muhammad A., Hilary Martin, Andrew R. Davidson, & Michael Phillips. (2015). Role of First-Line Anti–Epidermal Growth Factor Receptor Therapy Compared With Anti–Vascular Endothelial Growth Factor Therapy in Advanced Colorectal Cancer: A Meta-Analysis of Randomized Clinical Trials. Clinical Colorectal Cancer. 14(2). 81–90. 72 indexed citations
10.
11.
Martin, Hilary, et al.. (2014). Prognostic value of systemic inflammation‐based markers in advanced pancreatic cancer. Internal Medicine Journal. 44(7). 676–682. 96 indexed citations
12.
Daim, Tuğrul, et al.. (2013). Technology roadmap development process (TRDP) in the medical electronic device industry. International Journal of Business Innovation and Research. 7(2). 228–228. 2 indexed citations
13.
Martin, Hilary, et al.. (2013). Cancer in liver transplant recipients: Management and outcomes. Asia-Pacific Journal of Clinical Oncology. 9(3). 257–264. 4 indexed citations
14.
15.
Martin, Hilary & Tuğrul Daim. (2007). Technology Roadmapping through Intelligence Analysis: Nanotechnology. 13. 1613–1622. 10 indexed citations
16.
Daim, Tuğrul, et al.. (2006). Forecasting emerging technologies: Use of bibliometrics and patent analysis. Technological Forecasting and Social Change. 73(8). 981–1012. 800 indexed citations breakdown →
17.
Elling, Dirk, et al.. (2001). Intraductal component in invasive breast cancer: analysis of 250 resected surgical specimens. The Breast. 10(5). 405–410. 12 indexed citations
18.
Elling, Dirk, et al.. (1993). [Case report of squamous epithelial cancer of the female breast].. PubMed. 115(11). 500–2. 1 indexed citations
19.
Martin, Hilary, et al.. (1970). Effect of Adrenal and Parathyroid on Electrolyte Excretion in Rat. Hormone and Metabolic Research. 2(4). 228–232. 1 indexed citations
20.
Martin, Hilary, et al.. (1960). [Hemoglobin D in a Frankfurt family].. PubMed. 4. 233–41. 2 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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