Malcolm Clark

673 total citations
22 papers, 364 citations indexed

About

Malcolm Clark is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Geriatrics and Gerontology. According to data from OpenAlex, Malcolm Clark has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Geriatrics and Gerontology. Recurrent topics in Malcolm Clark's work include Primary Care and Health Outcomes (5 papers), Healthcare Systems and Technology (4 papers) and Chronic Disease Management Strategies (3 papers). Malcolm Clark is often cited by papers focused on Primary Care and Health Outcomes (5 papers), Healthcare Systems and Technology (4 papers) and Chronic Disease Management Strategies (3 papers). Malcolm Clark collaborates with scholars based in Australia, United Kingdom and China. Malcolm Clark's co-authors include Peter Baume, Helga Kuhse, Peter Singer, Jo‐Anne Manski‐Nankervis, Douglas Boyle, Jon Emery, Ken Clarke, Jane Gunn, Ruby Biezen and Rachel Canaway and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Ophthalmology and BMJ Open.

In The Last Decade

Malcolm Clark

19 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malcolm Clark Australia 8 202 152 64 56 34 22 364
Yahia M Al-Khaldi Saudi Arabia 12 93 0.5× 137 0.9× 38 0.6× 25 0.4× 63 1.9× 36 371
Zachariah Nazar Qatar 12 87 0.4× 129 0.8× 19 0.3× 34 0.6× 25 0.7× 42 375
Abha Mangal India 8 78 0.4× 56 0.4× 25 0.4× 53 0.9× 38 1.1× 18 311
Elaine Walsh Ireland 10 88 0.4× 80 0.5× 14 0.2× 53 0.9× 28 0.8× 35 422
Shannon McKinn Australia 14 143 0.7× 219 1.4× 16 0.3× 54 1.0× 66 1.9× 30 461
Perry W. Payne United States 8 108 0.5× 147 1.0× 18 0.3× 57 1.0× 70 2.1× 25 438
Benjamin Y. Urick United States 10 104 0.5× 135 0.9× 12 0.2× 40 0.7× 22 0.6× 47 459
Márcio Galvão Oliveira Brazil 11 51 0.3× 65 0.4× 28 0.4× 42 0.8× 35 1.0× 61 461
Shakti Shrestha Nepal 13 107 0.5× 49 0.3× 37 0.6× 58 1.0× 72 2.1× 68 429
Leanne Kosowan Canada 9 52 0.3× 66 0.4× 22 0.3× 20 0.4× 51 1.5× 50 279

Countries citing papers authored by Malcolm Clark

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Clark

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Clark. A scholar is included among the top collaborators of Malcolm Clark 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 Malcolm Clark. Malcolm Clark 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.
Liu, Chi, Danli Shi, Yueye Wang, et al.. (2025). Addressing underestimation and explanation of retinal fundus photo-based cardiovascular disease risk score: Algorithm development and validation. Computers in Biology and Medicine. 189. 109941–109941.
3.
Drinkwater, Jocelyn J., Zhuoting Zhu, Xianwen Shang, et al.. (2025). Effectiveness of artificial intelligence-based diabetic retinopathy screening in primary care and endocrinology settings in Australia: a pragmatic trial. British Journal of Ophthalmology. 110(1). 76–82. 1 indexed citations
4.
Sluggett, Janet K., Solomon Yu, Malcolm Clark, et al.. (2024). Simplifying medication regimens for residents of aged care facilities: Pharmacist and physician use of a structured five-step medication simplification tool. Research in Social and Administrative Pharmacy. 20(8). 733–739.
5.
Chen, Ruiye, Yueye Wang, Shiran Zhang, et al.. (2023). Biomarkers of ageing: Current state‐of‐art, challenges, and opportunities. SHILAP Revista de lepidopterología. 2(2). 28 indexed citations
6.
Hackett, John, et al.. (2023). Oral penicillin challenge in adult community practice and primary care in Australia. The Journal of Allergy and Clinical Immunology In Practice. 11(12). 3786–3788.e3. 7 indexed citations
7.
Saya, Sibel, Patty Chondros, Shakira Milton, et al.. (2022). The SCRIPT trial: study protocol for a randomised controlled trial of a polygenic risk score to tailor colorectal cancer screening in primary care. Trials. 23(1). 810–810. 6 indexed citations
8.
Speight, Jane, Elizabeth Holmes‐Truscott, Sharmala Thuraisingam, et al.. (2021). Impact of quarterly professional-mode flash glucose monitoring in adults with type 2 diabetes in general practice (GP-OSMOTIC): Secondary psychological and self-care outcomes of a pragmatic, open-label, 12-month, randomised controlled trial. Diabetes Research and Clinical Practice. 179. 108994–108994. 3 indexed citations
10.
Manski‐Nankervis, Jo‐Anne, Ruby Biezen, Karin Thursky, et al.. (2020). Developing a Clinical Decision Support Tool for Appropriate Antibiotic Prescribing in Australian General Practice: A Simulation Study. Medical Decision Making. 40(4). 428–437. 12 indexed citations
11.
Biezen, Ruby, Cassandra Roberts, Kirsty Buising, et al.. (2019). How do general practitioners access guidelines and utilise electronic medical records to make clinical decisions on antibiotic use? Results from an Australian qualitative study. BMJ Open. 9(8). e028329–e028329. 25 indexed citations
12.
Canaway, Rachel, Douglas Boyle, Jo‐Anne Manski‐Nankervis, et al.. (2019). Gathering data for decisions: best practice use of primary care electronic records for research. The Medical Journal of Australia. 210(S6). S12–S16. 62 indexed citations
14.
Lau, Phyllis, et al.. (2018). ‘Say Ahhh’: What do dentists, general medical practitioners and community pharmacists do about halitosis?. International Dental Journal. 69(4). 311–320. 5 indexed citations
16.
Chiang, Jason, John Furler, Douglas Boyle, Malcolm Clark, & Jo‐Anne Manski‐Nankervis. (2017). Electronic clinical decision support tool for the evaluation of cardiovascular risk in general practice: A pilot study.. PubMed. 46(10). 764–768. 10 indexed citations
17.
Garth, Belinda, et al.. (2013). Managing same day appointments--a qualitative study in Australian general practice.. PubMed. 42(4). 238–43. 7 indexed citations
18.
Temple‐Smith, Meredith, Malcolm Clark, & Marie Pirotta. (2011). Making a difference - are you game?. PubMed. 40(1-2). 49–49. 1 indexed citations
19.
Kuhse, Helga, Peter Singer, Malcolm Clark, & Peter Baume. (1997). End‐of‐life decisions in Australian medical practice. The Medical Journal of Australia. 166(9). 507–507. 10 indexed citations
20.
Kuhse, Helga, et al.. (1997). End‐of‐life decisions in Australian medical practice. The Medical Journal of Australia. 166(4). 191–196. 156 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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