Val Wass

4.9k total citations · 1 hit paper
59 papers, 3.4k citations indexed

About

Val Wass is a scholar working on Public Health, Environmental and Occupational Health, Family Practice and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Val Wass has authored 59 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Public Health, Environmental and Occupational Health, 21 papers in Family Practice and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Val Wass's work include Innovations in Medical Education (34 papers), Clinical Reasoning and Diagnostic Skills (21 papers) and Radiology practices and education (12 papers). Val Wass is often cited by papers focused on Innovations in Medical Education (34 papers), Clinical Reasoning and Diagnostic Skills (21 papers) and Radiology practices and education (12 papers). Val Wass collaborates with scholars based in United Kingdom, Netherlands and United States. Val Wass's co-authors include Cees van der Vleuten, Roger Jones, John Shatzer, Darren M. Ashcroft, Mary P. Tully, Penny Lewis, Tim Dornan, Walther van Mook, Erik W. Driessen and Jan van Tartwijk and has published in prestigious journals such as The Lancet, Gut and BMJ.

In The Last Decade

Val Wass

56 papers receiving 3.2k citations

Hit Papers

Assessment of clinical competence 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Val Wass United Kingdom 26 2.1k 1.0k 704 632 444 59 3.4k
Michael Fordis United States 13 1.5k 0.7× 536 0.5× 778 1.1× 182 0.3× 212 0.5× 27 2.5k
Denise M. Dupras United States 22 1.6k 0.8× 432 0.4× 822 1.2× 129 0.2× 707 1.6× 45 3.0k
Jeanne M. Farnan United States 29 946 0.5× 367 0.4× 983 1.4× 420 0.7× 100 0.2× 110 2.6k
Karen B. Farris United States 38 629 0.3× 1.3k 1.3× 1.4k 2.0× 314 0.5× 82 0.2× 199 4.8k
Christopher M. Wittich United States 25 828 0.4× 210 0.2× 458 0.7× 224 0.4× 254 0.6× 64 1.9k
Lisa Soleymani Lehmann United States 34 1.5k 0.7× 246 0.2× 1.2k 1.8× 420 0.7× 49 0.1× 135 3.6k
Debora A. Paterniti United States 35 1.4k 0.7× 430 0.4× 1.8k 2.6× 124 0.2× 113 0.3× 80 4.0k
George Bergus United States 29 730 0.4× 312 0.3× 926 1.3× 107 0.2× 80 0.2× 101 3.0k
K Henriksen United States 21 453 0.2× 544 0.5× 573 0.8× 828 1.3× 43 0.1× 148 2.4k
Jochanan Benbassat Israel 26 980 0.5× 308 0.3× 1.1k 1.6× 130 0.2× 94 0.2× 87 2.7k

Countries citing papers authored by Val Wass

Since Specialization
Citations

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

Fields of papers citing papers by Val Wass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Val Wass

This figure shows the co-authorship network connecting the top 25 collaborators of Val Wass. A scholar is included among the top collaborators of Val Wass 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 Val Wass. Val Wass 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.
Ramsay, Robin, et al.. (2020). Reimagining medical education for primary care in the time of COVID-19: a world view. Education for Primary Care. 32(1). 2–5. 6 indexed citations
2.
Andrades, Marie, et al.. (2017). Peer feedback for examiner quality assurance on MRCGP International South Asia: a mixed methods study. BMC Medical Education. 17(1). 244–244. 1 indexed citations
3.
Wass, Val. (2013). Evidence-based practice: missed learning opportunities in undergraduate primary care?. Education for Primary Care. 24(5). 312–313. 1 indexed citations
4.
O’Sullivan, Helen, et al.. (2012). Integrating professionalism into the curriculum. Medical Teacher. 34(2). 155–157. 68 indexed citations
5.
Galbraith, Robert M., Brian Hodges, Pauline McAvoy, et al.. (2012). Expert validation of fit-for-purpose guidelines for designing programmes of assessment. BMC Medical Education. 12(1). 20–20. 45 indexed citations
6.
Firth, Adam & Val Wass. (2011). The Impact of General Practice Attachments on Foundation Doctors: Achieving the Goals of Modernising Medical Careers. Education for Primary Care. 22(5). 314–320. 6 indexed citations
7.
Hodges, Brian, Shiphra Ginsburg, Richard L. Cruess, et al.. (2011). Assessment of professionalism: Recommendations from the Ottawa 2010 Conference. Medical Teacher. 33(5). 354–363. 239 indexed citations
9.
Tully, Mary P., Darren M. Ashcroft, Tim Dornan, et al.. (2009). The Causes of and Factors Associated with Prescribing Errors in Hospital Inpatients. Drug Safety. 32(10). 819–836. 159 indexed citations
10.
Lewis, Penny, Tim Dornan, David Taylor, et al.. (2009). Prevalence, Incidence and Nature of Prescribing Errors in Hospital Inpatients. Drug Safety. 32(5). 379–389. 296 indexed citations
11.
Sandars, John, et al.. (2007). Educating undergraduate medical students about patient safety: Priority areas for curriculum development. Medical Teacher. 29(1). 60–61. 46 indexed citations
12.
Driessen, Erik W., Jan van Tartwijk, Cees van der Vleuten, & Val Wass. (2007). Portfolios in medical education: why do they meet with mixed success? A systematic review. Medical Education. 41(12). 1224–1233. 236 indexed citations
13.
Roberts, Jane, Tom Sanders, & Val Wass. (2007). Students’ perceptions of race, ethnicity and culture at two UK medical schools: a qualitative study. Medical Education. 42(1). 45–52. 25 indexed citations
14.
Roberts, Celia, Becky Moss, Val Wass, Srikant Sarangi, & Roger Jones. (2005). Misunderstandings: a qualitative study of primary care consultations in multilingual settings, and educational implications. Medical Education. 39(5). 465–475. 97 indexed citations
15.
Wass, Val & Cees van der Vleuten. (2004). The long case. Medical Education. 38(11). 1176–1180. 57 indexed citations
16.
Wass, Val, et al.. (2001). Composite undergraduate clinical examinations: how should the components be combined to maximize reliability?. Medical Education. 35(4). 326–330. 81 indexed citations
17.
Wakeford, Richard, Lesley Southgate, & Val Wass. (1995). Improving oral examinations: selecting, training, and monitoring examiners for the MRCGP. BMJ. 311(7010). 931–935. 59 indexed citations
18.
Mallinson, C N, M O Rake, J. B. Cocking, et al.. (1980). Chemotherapy in pancreatic cancer: results of a controlled, prospective, randomised, multicentre trial.. BMJ. 281(6255). 1589–1591. 173 indexed citations
19.
Rake, M O, et al.. (1979). Chemotherapy in advanced gastric cancer: a controlled, prospective, randomised multi-centre study.. Gut. 20(9). 797–801. 13 indexed citations
20.
Wass, Val, T M Barratt, W. A. Marshall, et al.. (1977). Home haemodialysis in children. Report of the London Children's Home Dialysis Group.. PubMed. 1(8005). 2426–2426. 5 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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