Susan Goodlad

3.8k total citations · 2 hit papers
8 papers, 2.2k citations indexed

About

Susan Goodlad is a scholar working on General Health Professions, Education and Sociology and Political Science. According to data from OpenAlex, Susan Goodlad has authored 8 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 3 papers in Education and 2 papers in Sociology and Political Science. Recurrent topics in Susan Goodlad's work include Mental Health and Patient Involvement (3 papers), Delphi Technique in Research (2 papers) and Patient-Provider Communication in Healthcare (2 papers). Susan Goodlad is often cited by papers focused on Mental Health and Patient Involvement (3 papers), Delphi Technique in Research (2 papers) and Patient-Provider Communication in Healthcare (2 papers). Susan Goodlad collaborates with scholars based in United Kingdom and Canada. Susan Goodlad's co-authors include Colin Tysall, Peter Littlejohns, Christopher Morris, David Moher, Kate Seers, Rosemary Barber, Andrew Entwistle, Iveta Simera, Simon Denegri and Victoria Thomas and has published in prestigious journals such as BMJ, BMJ Open and Research Involvement and Engagement.

In The Last Decade

Susan Goodlad

8 papers receiving 2.2k citations

Hit Papers

GRIPP2 reporting checklists: tools to improve reporting o... 2017 2026 2020 2023 2017 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan Goodlad United Kingdom 5 1.4k 372 262 226 221 8 2.2k
Andrew Entwistle United Kingdom 8 1.4k 1.0× 427 1.1× 241 0.9× 236 1.0× 228 1.0× 10 2.2k
Simon Denegri United Kingdom 10 1.6k 1.1× 408 1.1× 252 1.0× 241 1.1× 245 1.1× 16 2.4k
Victoria Thomas United Kingdom 17 1.7k 1.2× 516 1.4× 278 1.1× 340 1.5× 234 1.1× 39 2.8k
Liz Croot United Kingdom 11 967 0.7× 385 1.0× 315 1.2× 152 0.7× 175 0.8× 15 2.0k
Caitlin N. Dorsey United States 13 1.2k 0.9× 356 1.0× 338 1.3× 185 0.8× 116 0.5× 25 2.0k
Rosemary Barber United Kingdom 18 2.5k 1.7× 540 1.5× 376 1.4× 344 1.5× 357 1.6× 22 3.5k
Yvonne Birks United Kingdom 27 976 0.7× 378 1.0× 412 1.6× 183 0.8× 421 1.9× 100 2.8k
Gina Browne Canada 21 1.1k 0.7× 325 0.9× 294 1.1× 247 1.1× 266 1.2× 47 2.5k
Jennifer Perloff United States 25 1.8k 1.3× 393 1.1× 430 1.6× 275 1.2× 179 0.8× 75 2.7k
Katie Sworn United Kingdom 11 878 0.6× 319 0.9× 298 1.1× 122 0.5× 283 1.3× 22 1.8k

Countries citing papers authored by Susan Goodlad

Since Specialization
Citations

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

Fields of papers citing papers by Susan Goodlad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Goodlad

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Goodlad. A scholar is included among the top collaborators of Susan Goodlad 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 Susan Goodlad. Susan Goodlad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Brett, Jo, Sophie Staniszewska, Iveta Simera, et al.. (2017). Reaching consensus on reporting patient and public involvement (PPI) in research: methods and lessons learned from the development of reporting guidelines. BMJ Open. 7(10). e016948–e016948. 41 indexed citations
2.
Staniszewska, Sophie, Jo Brett, Iveta Simera, et al.. (2017). GRIPP2 reporting checklists: tools to improve reporting of patient and public involvement in research. BMJ. 358. j3453–j3453. 995 indexed citations breakdown →
3.
Staniszewska, Sophie, Jo Brett, Iveta Simera, et al.. (2017). GRIPP2 reporting checklists: tools to improve reporting of patient and public involvement in research. Research Involvement and Engagement. 3(1). 13–13. 1093 indexed citations breakdown →
4.
Lindsay, Geoff, Mairi Ann Cullen, Vasiliki Totsika, et al.. (2014). CANparent trial evaluation: Final report.. Bristol Research (University of Bristol). 4 indexed citations
5.
Johnston‐Wilder, Sue, et al.. (2013). Developing coaches for mathematical resilience. Open Research Online (The Open University). 2326–2333. 25 indexed citations
6.
Roulstone, Sue, Yvonne Wren, Ioanna Bakopoulou, Susan Goodlad, & Geoff Lindsay. (2012). Exploring interventions for children and young people with speech, language and communication needs: A study of practice. 27 indexed citations
7.
Lindsay, Geoff, Mairi Ann Cullen, Julie Dockrell, et al.. (2011). Evaluation of impact of DfE investment in initiatives designed to improve teacher workforce skills in relation to SEN and disabilities. 3 indexed citations
8.
Lindsay, Geoff, et al.. (2010). Evaluation of the impact of the DFE investment in initiatives designed to improve teacher workforce skills in relation to SEN and disabilities: 1st interim report. Digital Education Resource Archive (University College London). 1 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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