Jo‐Anne Manski‐Nankervis

2.4k total citations
101 papers, 1.2k citations indexed

About

Jo‐Anne Manski‐Nankervis is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Jo‐Anne Manski‐Nankervis has authored 101 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in General Health Professions, 41 papers in Endocrinology, Diabetes and Metabolism and 32 papers in Epidemiology. Recurrent topics in Jo‐Anne Manski‐Nankervis's work include Chronic Disease Management Strategies (29 papers), Diabetes Management and Education (28 papers) and Primary Care and Health Outcomes (27 papers). Jo‐Anne Manski‐Nankervis is often cited by papers focused on Chronic Disease Management Strategies (29 papers), Diabetes Management and Education (28 papers) and Primary Care and Health Outcomes (27 papers). Jo‐Anne Manski‐Nankervis collaborates with scholars based in Australia, United Kingdom and Singapore. Jo‐Anne Manski‐Nankervis's co-authors include John Furler, Jane Gunn, Michelle M. Dowsey, David N. O’Neal, Ruby Biezen, Irene Blackberry, Darshini Ayton, Samantha Bunzli, Penny O’Brien and Peter Choong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and CHEST Journal.

In The Last Decade

Jo‐Anne Manski‐Nankervis

86 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jo‐Anne Manski‐Nankervis Australia 20 385 307 239 166 142 101 1.2k
Concepción Carratalá‐Munuera Spain 20 209 0.5× 167 0.5× 302 1.3× 190 1.1× 139 1.0× 111 1.4k
John Billimek United States 20 232 0.6× 277 0.9× 283 1.2× 157 0.9× 113 0.8× 72 1.1k
Sharifa Ezat Wan Puteh Malaysia 18 130 0.3× 215 0.7× 155 0.6× 224 1.3× 110 0.8× 103 1.1k
Germán Málaga Peru 24 617 1.6× 259 0.8× 283 1.2× 194 1.2× 290 2.0× 113 1.9k
Hassan Fouayzi United States 20 126 0.3× 181 0.6× 138 0.6× 93 0.6× 257 1.8× 44 1.5k
Ginenus Fekadu Ethiopia 19 196 0.5× 222 0.7× 346 1.4× 112 0.7× 52 0.4× 96 1.3k
Martin Howell Australia 24 126 0.3× 378 1.2× 195 0.8× 377 2.3× 209 1.5× 114 1.8k
Kerry McBrien Canada 21 298 0.8× 567 1.8× 372 1.6× 211 1.3× 109 0.8× 109 1.6k
Khalid M. Kamal United States 18 75 0.2× 208 0.7× 187 0.8× 201 1.2× 66 0.5× 75 1.1k
Alisha N. Wade South Africa 22 795 2.1× 275 0.9× 407 1.7× 171 1.0× 159 1.1× 66 1.8k

Countries citing papers authored by Jo‐Anne Manski‐Nankervis

Since Specialization
Citations

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

Fields of papers citing papers by Jo‐Anne Manski‐Nankervis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jo‐Anne Manski‐Nankervis. 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 Jo‐Anne Manski‐Nankervis. The network helps show where Jo‐Anne Manski‐Nankervis may publish in the future.

Co-authorship network of co-authors of Jo‐Anne Manski‐Nankervis

This figure shows the co-authorship network connecting the top 25 collaborators of Jo‐Anne Manski‐Nankervis. A scholar is included among the top collaborators of Jo‐Anne Manski‐Nankervis 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 Jo‐Anne Manski‐Nankervis. Jo‐Anne Manski‐Nankervis 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.
Maddison, Ralph, Rebecca Nourse, Reza Daryabeygi‐Khotbehsara, et al.. (2025). Digital Home-Based Self-Monitoring System for People with Heart Failure: Protocol for Development of SmartHeart and Evaluation of Feasibility and Acceptability. JMIR Research Protocols. 14. e62964–e62964. 3 indexed citations
2.
Chen, Caroline, et al.. (2025). A systematic review on how primary care electronic medical record data have been used for antimicrobial stewardship. Antimicrobial Stewardship & Healthcare Epidemiology. 5(1). e16–e16.
3.
George, Tina, Jo‐Anne Manski‐Nankervis, Marlena Klaic, Gagandeep Kang, & Thambu David Sudarsanam. (2024). Interventions in adult patients with multimorbidity in low-income and middle-income countries: protocol for a mixed-methods systematic review. BMJ Open. 14(3). e074038–e074038. 2 indexed citations
4.
Carville, Kylie, Niamh Meagher, Yara‐Natalie Abo, et al.. (2024). Burden of antimicrobial prescribing in primary care attributable to sore throat: a retrospective cohort study of patient record data. BMC Primary Care. 25(1). 117–117.
7.
Biezen, Ruby, et al.. (2023). Addressing Antimicrobial Stewardship in Primary Care—Developing Patient Information Sheets Using Co-Design Methodology. Antibiotics. 12(3). 458–458. 5 indexed citations
11.
Duncanson, Emily, Randall Faull, Richard K. Le Leu, et al.. (2023). The impact on patients of the tertiary-primary healthcare interface in kidney failure: a qualitative study. Journal of Nephrology. 36(7). 2023–2035. 1 indexed citations
12.
McMorrow, Rita, Barbara Hunter, Christel Hendrieckx, et al.. (2022). Effect of routinely assessing and addressing depression and diabetes distress on clinical outcomes among adults with type 2 diabetes: a systematic review. BMJ Open. 12(5). e054650–e054650. 15 indexed citations
13.
Teoh, Leanne, MS Hopcraft, Michael McCullough, Jo‐Anne Manski‐Nankervis, & Ruby Biezen. (2022). Exploring the appropriateness of antibiotic prescribing for dental presentations in Australian general practice—A pilot study. British Journal of Clinical Pharmacology. 89(5). 1554–1559. 7 indexed citations
14.
Thuraisingam, Sharmala, Patty Chondros, Michelle M. Dowsey, et al.. (2021). Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment. BMC Medical Informatics and Decision Making. 21(1). 297–297. 18 indexed citations
15.
Manski‐Nankervis, Jo‐Anne, Karyn Alexander, Ruby Biezen, et al.. (2021). Towards optimising chronic kidney disease detection and management in primary care: Underlying theory and protocol for technology development using an Integrated Knowledge Translation approach. Health Informatics Journal. 27(2). 1187493603–1187493603. 4 indexed citations
16.
Chiang, Jason, Peter Hanlon, Tsai‐Chung Li, et al.. (2020). Multimorbidity, mortality, and HbA1c in type 2 diabetes: A cohort study with UK and Taiwanese cohorts. PLoS Medicine. 17(5). e1003094–e1003094. 41 indexed citations
17.
18.
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
19.
Manski‐Nankervis, Jo‐Anne, et al.. (2011). Academic posts at The University of Melbourne - 28 years of history.. PubMed. 40(12). 1014–5. 1 indexed citations
20.
Hall, R., et al.. (2006). Fertility outcomes in women with hypopituitarism. Clinical Endocrinology. 65(1). 71–74. 31 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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