Ada Woo

1.1k total citations
24 papers, 885 citations indexed

About

Ada Woo is a scholar working on General Health Professions, Management Science and Operations Research and Issues, ethics and legal aspects. According to data from OpenAlex, Ada Woo has authored 24 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 6 papers in Management Science and Operations Research and 5 papers in Issues, ethics and legal aspects. Recurrent topics in Ada Woo's work include Psychometric Methodologies and Testing (6 papers), Mental Health Research Topics (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Ada Woo is often cited by papers focused on Psychometric Methodologies and Testing (6 papers), Mental Health Research Topics (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Ada Woo collaborates with scholars based in United States, India and Canada. Ada Woo's co-authors include Ira H. Bernstein, A. John Rush, Madhukar H. Trivedi, Thomas Carmody, James C. Mundt, Maurizio Fava, Kathy Shores‐Wilson, Andrew A. Nierenberg, Melanie M. Biggs and Stephen R. Wisniewski and has published in prestigious journals such as Biological Psychiatry, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Journal of Psychiatric Research.

In The Last Decade

Ada Woo

23 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ada Woo United States 12 316 304 192 181 136 24 885
Outi Poutanen Finland 15 154 0.5× 173 0.6× 323 1.7× 252 1.4× 48 0.4× 27 798
Erik Hoencamp Netherlands 20 211 0.7× 237 0.8× 303 1.6× 486 2.7× 51 0.4× 61 1.1k
Hanna M. van Loo Netherlands 16 554 1.8× 223 0.7× 250 1.3× 160 0.9× 64 0.5× 39 1.1k
Megan L. Ryan United States 14 188 0.6× 147 0.5× 199 1.0× 102 0.6× 58 0.4× 16 1.2k
Stéphane Mouchabac France 16 281 0.9× 95 0.3× 298 1.6× 185 1.0× 95 0.7× 75 1.1k
Michael Liebrenz Switzerland 17 114 0.4× 137 0.5× 271 1.4× 226 1.2× 102 0.8× 107 1.2k
Amine Benyamina France 17 125 0.4× 287 0.9× 322 1.7× 141 0.8× 118 0.9× 48 964
Jonathan Henssler Germany 17 128 0.4× 208 0.7× 286 1.5× 209 1.2× 44 0.3× 27 831
Fermín Fernández‐Calderón Spain 17 131 0.4× 126 0.4× 343 1.8× 207 1.1× 115 0.8× 80 883
Victoria Ameral United States 14 123 0.4× 142 0.5× 192 1.0× 118 0.7× 46 0.3× 29 656

Countries citing papers authored by Ada Woo

Since Specialization
Citations

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

Fields of papers citing papers by Ada Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ada Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Ada Woo. A scholar is included among the top collaborators of Ada 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 Ada Woo. Ada 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
1.
Liu, Ren, et al.. (2017). Relative Diagnostic Profile: A Subscore Reporting Framework. Educational and Psychological Measurement. 78(6). 1072–1088. 9 indexed citations
2.
Dickison, Philip, et al.. (2016). Assessing Higher-Order Cognitive Constructs by Using an Information-Processing Framework. 17(1). 1–19. 31 indexed citations
3.
Reckase, Mark D., et al.. (2016). Using Response Time to Detect Item Preknowledge in Computer‐Based Licensure Examinations. Educational Measurement Issues and Practice. 35(1). 38–47. 41 indexed citations
4.
Woo, Ada, et al.. (2014). Setting an English Language Proficiency Passing Standard for Entry-Level Nursing Practice Using the Michigan English Language Assessment Battery. 2 indexed citations
5.
Williams, Nicole, et al.. (2014). NCLEX and Entry-Level Nurse Characteristics. Journal of Nursing Regulation. 5(2). 45–49. 4 indexed citations
6.
Bernstein, Ira H., et al.. (2013). Assessing DIF among small samples with separate calibration t and Mantel-Haenszel χ² statistics in the Rasch model.. PubMed. 14(4). 389–99. 3 indexed citations
7.
Woo, Ada, et al.. (2012). Ensuring Validity of NCLEX® With Differential Item Functioning Analysis. Journal of Nursing Regulation. 2(4). 29–31. 9 indexed citations
8.
Dickison, Philip & Ada Woo. (2011). 2009 TUNING Analysis: A Comparison of U.S. and International Nursing Educational Competencies. Journal of Nursing Regulation. 2(1). 50–55. 4 indexed citations
9.
Jiao, Hong, et al.. (2011). Comparison Between Dichotomous and Polytomous Scoring of Innovative Items in a Large-Scale Computerized Adaptive Test. Educational and Psychological Measurement. 72(3). 493–509. 16 indexed citations
10.
Woo, Ada, et al.. (2010). The Methodology Used to Assess the Readability of the NNAAP ™ Examination. 1 indexed citations
11.
Bernstein, Ira H., A. John Rush, Trisha Suppes, et al.. (2009). A psychometric evaluation of the clinician‐rated Quick Inventory of Depressive Symptomatology (QIDS‐C16) in patients with bipolar disorder. International Journal of Methods in Psychiatric Research. 18(2). 138–146. 19 indexed citations
12.
13.
Woo, Ada, et al.. (2009). NCLEX Pass Rates. PubMed. 11(1). 23–26. 23 indexed citations
14.
Woo, Ada, et al.. (2009). Membrane localization of RasGRP1 is controlled by an EF-hand, and by the GEF domain. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1793(3). 447–461. 19 indexed citations
15.
Bernstein, Ira H., A. John Rush, Kimberly A. Yonkers, et al.. (2006). Symptom features of postpartum depression: are they distinct?. Depression and Anxiety. 25(1). 20–26. 103 indexed citations
16.
Bernstein, Ira H., A. John Rush, Thomas Carmody, Ada Woo, & Madhukar H. Trivedi. (2006). Clinical vs. self-report versions of the quick inventory of depressive symptomatology in a public sector sample. Journal of Psychiatric Research. 41(3-4). 239–246. 44 indexed citations
17.
Carmody, Thomas, A. John Rush, Ira H. Bernstein, et al.. (2006). The Montgomery Äsberg and the Hamilton ratings of depression: A comparison of measures. European Neuropsychopharmacology. 16(8). 601–611. 194 indexed citations
18.
Bernstein, Ira H., A. John Rush, Thomas Carmody, Ada Woo, & Madhukar H. Trivedi. (2006). Item response analysis of the inventory of depressive symptomatology. Neuropsychiatric Disease and Treatment. 2(4). 557–564. 14 indexed citations
19.
Bennett, Joel B., et al.. (2006). Social Risks for At-Risk Drinking in Young Workers: Application of Work-Life Border Theory. Journal of Drug Issues. 36(3). 485–513. 10 indexed citations
20.
Rush, A. John, Ira H. Bernstein, Madhukar H. Trivedi, et al.. (2005). An Evaluation of the Quick Inventory of Depressive Symptomatology and the Hamilton Rating Scale for Depression: A Sequenced Treatment Alternatives to Relieve Depression Trial Report. Biological Psychiatry. 59(6). 493–501. 314 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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