Calvin Wu

945 citations
20 papers · 659 · h-index 13

Impact in

Papers in

Calvin Wu

20 papers receiving 648 citations

Peers

Calvin Wu
Comparison fields: 5 of 84
  • Sensory Systems 461
  • Neurology 244
  • Cognitive Neuroscience 400
  • Speech and Hearing 67
  • Experimental and Cognitive Psychology 75
Replace Kari Suzanne Kraus with:
Kari Suzanne Kraus Germany
Verónica Fuentes‐Santamaría Spain
Esma Idrizbegovic Sweden
Avril Genene Holt United States
Seth D. Koehler United States
Frances Mapes United States
Akram Pourbakht Iran
Rama Panford-Walsh Germany
Nadia Pilati United Kingdom
Calvin Wu relative to Kari Suzanne Kraus Germany Kari Suzanne Kraus's profile →
Citations per field
00.5×2.7×
Kari Suzanne Kraus · 1×
Citations per year

Countries citing papers authored by Calvin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Calvin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Calvin 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 Calvin Wu Line = papers co-authored together Calvin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201894
2 201992
3 201691
4 201577
5 201456
6 201236
7 201433
8 201829
9 201829
10 201421
11 201817
12 201517
13 202116
14 201812
15 201110
16 20248
17 20117
18 20216
19 20146
20 20202

About Calvin Wu

Calvin Wu is a scholar working on Sensory Systems, Cognitive Neuroscience, Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience and Neurology, having authored 20 papers that have together received 659 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (15 papers), Hearing Loss and Rehabilitation (11 papers), Multisensory perception and integration (8 papers), Neuroscience and Neuropharmacology Research (4 papers), Vestibular and auditory disorders (4 papers), Ion channel regulation and function (2 papers), Neural dynamics and brain function (2 papers) and Noise Effects and Management (2 papers). The work is most often cited by research in Sensory Systems (461 citations), Neurology (244 citations), Cognitive Neuroscience (400 citations), Speech and Hearing (67 citations) and Experimental and Cognitive Psychology (75 citations). Calvin Wu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Susan E. Shore, David T. Martel, Roxana A. Stefanescu, Kamakshi V. Gopal, Guenter W. Gross, Gregory J. Basura, Larry E. Roberts, Kara C. Schvartz‐Leyzac, Thomas J. Lukas and Amarins N. Heeringa. Their work appears in journals such as Journal of Neuroscience, European Journal of Pharmacology, The Journal of Physiology, Scientific Reports and BMC Physiology.

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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