Janet Wale

1.9k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Janet Wale is a scholar working on General Health Professions, Physiology and Molecular Biology. According to data from OpenAlex, Janet Wale has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Health Professions, 10 papers in Physiology and 9 papers in Molecular Biology. Recurrent topics in Janet Wale's work include Health Systems, Economic Evaluations, Quality of Life (7 papers), Receptor Mechanisms and Signaling (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Janet Wale is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (7 papers), Receptor Mechanisms and Signaling (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Janet Wale collaborates with scholars based in Australia, United States and Canada. Janet Wale's co-authors include Andrew J. Bilski, J.D. Fitzgerald, C. Raper, James W. Paterson, Roy G. Goldie, Anna Mae Scott, J. D. Fitzgerald, Peter D. Sly, Ferenc Peták and Domenico Spina and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cochrane Database of Systematic Reviews and Journal of Applied Physiology.

In The Last Decade

Janet Wale

48 papers receiving 1.0k citations

Hit Papers

The Pharmacology of a β2-Selective Adrenoceptor Antagonis... 1983 2026 1997 2011 1983 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet Wale Australia 18 380 276 225 217 172 48 1.1k
Frank G. Williams United States 21 296 0.8× 373 1.4× 354 1.6× 89 0.4× 10 0.1× 53 1.3k
A. L. Finn United States 21 330 0.9× 267 1.0× 129 0.6× 81 0.4× 8 0.0× 57 1.5k
Manuel Worcel France 26 650 1.7× 353 1.3× 173 0.8× 1.7k 7.8× 31 0.2× 86 3.1k
David E. Longnecker United States 23 179 0.5× 378 1.4× 127 0.6× 433 2.0× 7 0.0× 75 1.7k
R. K. S. Lim United States 13 102 0.3× 326 1.2× 222 1.0× 91 0.4× 12 0.1× 19 890
Karen Aspry United States 18 177 0.5× 490 1.8× 38 0.2× 166 0.8× 15 0.1× 40 1.3k
D. M. Dunlop United Kingdom 12 166 0.4× 107 0.4× 57 0.3× 188 0.9× 83 0.5× 46 761
Tânia Leme da Rocha Martinez Brazil 15 80 0.2× 245 0.9× 125 0.6× 160 0.7× 10 0.1× 69 1.1k
Lucrecia Moreno Spain 17 379 1.0× 170 0.6× 121 0.5× 112 0.5× 10 0.1× 78 1.1k
James R. Bell Australia 27 530 1.4× 199 0.7× 175 0.8× 574 2.6× 12 0.1× 77 1.9k

Countries citing papers authored by Janet Wale

Since Specialization
Citations

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

Fields of papers citing papers by Janet Wale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Wale

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Wale. A scholar is included among the top collaborators of Janet Wale 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 Janet Wale. Janet Wale 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
2.
Bero, Lisa, Fiona Blyth, Jason N. Doctor, et al.. (2023). Clinical practice guideline for deprescribing opioid analgesics: summary of recommendations. The Medical Journal of Australia. 219(2). 80–89. 25 indexed citations
3.
Bero, Lisa, Chung‐Wei Christine Lin, Fiona Blyth, et al.. (2023). Context matters: using an Evidence to Decision (EtD) framework to develop and encourage uptake of opioid deprescribing guideline recommendations at the point-of-care. Journal of Clinical Epidemiology. 165. 111204–111204. 2 indexed citations
4.
Wale, Janet, et al.. (2022). Can We Afford to Exclude Patients Throughout Health Technology Assessment?. SHILAP Revista de lepidopterología. 3. 796344–796344. 6 indexed citations
5.
Wale, Janet, et al.. (2022). Where National Medicines Policies Have Taken Us With Patient Involvement and Health Technology Assessment in Africa. SHILAP Revista de lepidopterología. 4. 810456–810456. 5 indexed citations
6.
Segelov, Eva, Sanchia Aranda, David C. Currow, et al.. (2021). Developing clinical indicators for oncology: the inaugural cancer care indicator set for the Australian Council on Healthcare Standards. The Medical Journal of Australia. 214(11). 528–531. 3 indexed citations
7.
Wale, Janet, et al.. (2020). Exploration of the visibility of patient input in final recommendation documentation for three health technology assessment bodies. International Journal of Technology Assessment in Health Care. 36(3). 197–203. 5 indexed citations
8.
Scott, Anna Mae, et al.. (2017). Patient advocate perspectives on involvement in HTA: an international snapshot. Research Involvement and Engagement. 3(1). 2–2. 35 indexed citations
9.
Wale, Janet, et al.. (2016). Moving beyond the rhetoric of patient input in health technology assessment deliberations. Australian Health Review. 41(2). 170–170. 15 indexed citations
10.
Atallah, Álvaro Nagib, et al.. (2013). Respiratory therapy for removing bronchial secretions in mechanically ventilated adult patients. Cochrane Database of Systematic Reviews. 1 indexed citations
11.
Watt, Amber M., Janet E. Hiller, Annette Braunack‐Mayer, et al.. (2012). The ASTUTE Health study protocol: Deliberative stakeholder engagements to inform implementation approaches to healthcare disinvestment. Implementation Science. 7(1). 101–101. 42 indexed citations
12.
Wale, Janet, et al.. (2011). The Cochrane Library review titles that are important to users of health care, a Cochrane Consumer Network project. Health Expectations. 16(4). e146–63. 5 indexed citations
13.
Santesso, Nancy, Tamara Rader, George A. Wells, et al.. (2009). Responsiveness of the Effective Consumer Scale (EC-17). The Journal of Rheumatology. 36(9). 2087–2091. 26 indexed citations
14.
Belizán, José M., et al.. (2009). Maternal and child health research focusing on interventions that involve consumer participation. International Journal of Gynecology & Obstetrics. 108(2). 154–155. 3 indexed citations
15.
Tugwell, Peter, Andrew Wilson, Peter Brooks, et al.. (2005). Attributes and skills of an effective musculoskeletal consumer.. PubMed. 32(11). 2257–61. 20 indexed citations
16.
Peták, Ferenc, Janet Wale, & Peter D. Sly. (1999). Effects of salbutamol and Ro-20-1724 on airway and parenchymal mechanics in rats. Journal of Applied Physiology. 87(4). 1373–1380. 18 indexed citations
17.
Sly, Peter D., et al.. (1995). Pirenzepine Blunts the Pulmonary Parenchymal Response to Inhaled Methacholine. Pulmonary Pharmacology. 8(2-3). 123–129. 16 indexed citations
18.
Bilski, Andrew J., et al.. (1988). The Pharmacology of Epanolol (ICI 141292–A New β1-Selective Adrenoceptor Partial Agonist. Journal of Cardiovascular Pharmacology. 12(2). 227–232. 4 indexed citations
19.
Bilski, Andrew J., et al.. (1976). Proceedings: Two types of intrinsic sympathomimetic activity with beta-adrenoceptor blocking drugs.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 56(3). 362P–362P. 7 indexed citations
20.
Wale, Janet. (1970). The action of practolol and propranolol on the rabbit isolated atrium. European Journal of Pharmacology. 9(3). 387–390. 9 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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