Monica S. Wu

2.0k citations
48 papers · 1.3k indexed · h-index 20

Monica S. Wu

47 papers receiving 1.2k citations

Peers

Monica S. Wu
Comparison fields: 5 of 66
  • Sensory Systems 318
  • Cognitive Neuroscience 776
  • Clinical Psychology 725
  • Speech and Hearing 158
  • Experimental and Cognitive Psychology 274
Replace Zachary J. Williams with:
Zachary J. Williams United States
Andrew G. Guzick United States
Ellen Greimel Germany
Simon Jakes United Kingdom
Scott Yale United States
Eira Jansson-Verkasalo Finland
Camille Piguet Switzerland
Noga Cohen Israel
Martin J. Batty United Kingdom
Janet Feigenbaum United Kingdom
Monica S. Wu relative to Zachary J. Williams United States Zachary J. Williams's profile →
Citations per field
00.5×10×20×31×
Zachary J. Williams · 1×
Citations per year

Countries citing papers authored by Monica S. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Monica S. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica S. Wu. 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 Monica S. Wu. The network helps show where Monica S. Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Monica S. Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Monica S. Wu Line = papers co-authored together Monica S. Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20218
3 202113
4 201911
5 201920
6 20197
7 201834
8 201756
9 201622
10 201636
11 201626
12 201613
13 2016102
14 201534
15 20156
16 201517
17 20158
18 201519
19 201446
20 201316

About Monica S. Wu

Monica S. Wu is a scholar working on Clinical Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Obsessive-Compulsive Spectrum Disorders (31 papers), Autism Spectrum Disorder Research (20 papers), Child and Adolescent Psychosocial and Emotional Development (13 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers), Eating Disorders and Behaviors (9 papers), Body Image and Dysmorphia Studies (6 papers), Child Nutrition and Feeding Issues (5 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Sensory Systems (318 citations), Cognitive Neuroscience (776 citations) and Clinical Psychology (725 citations). Monica S. Wu has collaborated with scholars based in United States, Canada and El Salvador. Frequent co-authors include Eric A. Storch, Adam B. Lewin, Tanya K. Murphy, Joseph McGuire, Xiaolu Zhou, Vicky Phares, Robert R. Selles, John Piacentini, Alessandro S. De Nadai and Brent J. Small. Their work appears in journals such as Child Psychiatry & Human Development, Comprehensive Psychiatry, Journal of Anxiety Disorders, Journal of the American Academy of Child & Adolescent Psychiatry and The Journal of Clinical Psychiatry.

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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