Ashley Woo

557 total citations · 1 hit paper
32 papers, 322 citations indexed

About

Ashley Woo is a scholar working on Education, Sociology and Political Science and Information Systems. According to data from OpenAlex, Ashley Woo has authored 32 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Education, 6 papers in Sociology and Political Science and 5 papers in Information Systems. Recurrent topics in Ashley Woo's work include Teacher Education and Leadership Studies (13 papers), Teacher Professional Development and Motivation (4 papers) and Educational Research and Pedagogy (3 papers). Ashley Woo is often cited by papers focused on Teacher Education and Leadership Studies (13 papers), Teacher Professional Development and Motivation (4 papers) and Educational Research and Pedagogy (3 papers). Ashley Woo collaborates with scholars based in United States. Ashley Woo's co-authors include Elizabeth D. Steiner, Sy Doan, Julia H. Kaufman, Melissa Kay Diliberti, Elaine Wang, Rebecca Lawrence, Rakesh Pandey, Morgan S. Polikoff, Sabrina Lee and Kan Cao and has published in prestigious journals such as Ageing Research Reviews and RAND Corporation eBooks.

In The Last Decade

Ashley Woo

22 papers receiving 227 citations

Hit Papers

Job-Related Stress Threatens the Teacher Supply: Key Find... 2021 2026 2022 2024 2021 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashley Woo United States 9 185 68 48 40 28 32 322
Josefina Lozano Martínez Spain 10 147 0.8× 13 0.2× 45 0.9× 9 0.2× 82 2.9× 52 291
Marine Delaval France 6 192 1.0× 103 1.5× 61 1.3× 48 1.2× 28 1.0× 8 358
Pamela Whitehouse United States 4 345 1.9× 14 0.2× 50 1.0× 24 0.6× 52 1.9× 10 440
Ana Aierbe Barandiarán Spain 10 160 0.9× 20 0.3× 131 2.7× 35 0.9× 37 1.3× 44 295
Melvin Chan Singapore 9 182 1.0× 47 0.7× 32 0.7× 96 2.4× 11 0.4× 17 309
Jennifer Way Australia 13 398 2.2× 24 0.4× 24 0.5× 120 3.0× 17 0.6× 33 551
Liang See Tan Singapore 10 153 0.8× 23 0.3× 27 0.6× 56 1.4× 18 0.6× 24 270
J. Manuel Australia 9 374 2.0× 18 0.3× 40 0.8× 78 1.9× 36 1.3× 25 447
Stefanie Chye Singapore 9 160 0.9× 63 0.9× 183 3.8× 70 1.8× 15 0.5× 24 310
Yuan‐Hsuan Lee Taiwan 12 234 1.3× 42 0.6× 61 1.3× 26 0.7× 59 2.1× 27 371

Countries citing papers authored by Ashley Woo

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashley Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Ashley Woo. A scholar is included among the top collaborators of Ashley Woo 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 Ashley Woo. Ashley Woo 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
3.
Steiner, Elizabeth D., et al.. (2023). Working Conditions Related to Positive Teacher Well-Being Vary Across States: Findings from the 2022 Learn Together Survey. RAND Corporation eBooks. 4 indexed citations
5.
Doan, Sy, Elizabeth D. Steiner, Rakesh Pandey, & Ashley Woo. (2023). Teacher Well-Being and Intentions to Leave: Findings from the 2023 State of the American Teacher Survey. RAND Corporation eBooks. 20 indexed citations
7.
Kaufman, Julia H., Elizabeth D. Steiner, & Ashley Woo. (2023). The American Mathematics Educator Study: Unraveling the Formula for Equitable and Excellent Mathematics Teaching and Learning. RAND Corporation eBooks. 2 indexed citations
8.
Doan, Sy, Elizabeth D. Steiner, & Ashley Woo. (2023). State of the American Teacher Survey: 2023 Technical Documentation and Survey Results. RAND Corporation eBooks. 6 indexed citations
9.
Woo, Ashley & Melissa Kay Diliberti. (2023). The Role of Benchmark Assessments in Coherent Instructional Systems: Findings from the 2022 American Instructional Resources Survey. RAND Corporation eBooks. 2 indexed citations
13.
Wang, Elaine, et al.. (2022). English Language Arts Instructional Systems in the First Full Year of COVID-19. RAND Corporation eBooks. 7 indexed citations
16.
Jacobsen, Michael T., et al.. (2021). Gene targeting techniques for Huntington’s disease. Ageing Research Reviews. 70. 101385–101385. 30 indexed citations
17.
Wang, Elaine, et al.. (2021). School Leaders' Role in Selecting and Supporting Teachers' Use of Instructional Materials: An Interview Study. RAND Corporation eBooks. 2 indexed citations
18.
Doan, Sy, Julia H. Kaufman, Rebecca Lawrence, et al.. (2020). American Instructional Resources Surveys: 2020 Technical Documentation and Survey Results. Research Report. RR-A134-4.. 1 indexed citations
19.
Doan, Sy, et al.. (2020). The Digital Divide and COVID-19: Teachers' Perceptions of Inequities in Students' Internet Access and Participation in Remote Learning. Data Note: Insights from the American Educator Panels. Research Report. RR-A134-3.. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026