Josh Prada

440 citations
20 papers · 216 · h-index 10

Impact in

Papers in

Josh Prada

17 papers receiving 199 citations

Peers

Josh Prada
Comparison fields: 5 of 38
  • Linguistics and Language 125
  • Language and Linguistics 123
  • Literature and Literary Theory 129
  • General Health Professions 31
  • Developmental and Educational Psychology 17
Replace Shakina Rajendram with:
Shakina Rajendram Canada
Sheilah E. Nicholas United States
Beth Lewis Samuelson United States
Haley De Korne United States
Andrea Sterzuk Canada
Florence Bonacina-Pugh United Kingdom
Laura Hamman‐Ortiz United States
Donna Patrick Canada
Ana Roca Spain
Nathan John Albury Norway
Josh Prada relative to Shakina Rajendram Canada Shakina Rajendram's profile →
Citations per field
00.5×5.2×
Shakina Rajendram · 1×
Citations per year

Countries citing papers authored by Josh Prada

Since Specialization
Citations

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

Fields of papers citing papers by Josh Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201838
2 201730
3 201929
4 202026
5 202021
6 201818
7 202210
8 202110
9 20249
10 20159
11 20227
12 20253
13 20232
14 20241
15 20241
16 20241
17 19811
18 20250
19 20250
20 20180

About Josh Prada

Josh Prada is a scholar working on Literature and Literary Theory, Linguistics and Language, Language and Linguistics, General Health Professions and Surgery, having authored 20 papers that have together received 216 indexed citations. Recurring topics across this work include Second Language Learning and Teaching (16 papers), Multilingual Education and Policy (15 papers), EFL/ESL Teaching and Learning (8 papers), Interpreting and Communication in Healthcare (3 papers), Linguistic Variation and Morphology (2 papers), Language, Discourse, Communication Strategies (2 papers), Cultural Competency in Health Care (1 paper) and Tracheal and airway disorders (1 paper). The work is most often cited by research in Linguistics and Language (125 citations), Language and Linguistics (123 citations), Literature and Literary Theory (129 citations), General Health Professions (31 citations) and Developmental and Educational Psychology (17 citations). Josh Prada has collaborated with scholars based in United States, Netherlands and Hong Kong. Frequent co-authors include Diego Pascual y Cabo, Pilar Ortega, Tarja Nikula, Annela Teemant, Brandon Sherman, Hoa Thi Mai Nguyen, Yongyan Zheng, Angel M. Y. Lin, Mingyue Gu and Sílvia Melo‐Pfeifer. Their work appears in journals such as Foreign Language Annals, Modern Language Journal, Perspectives on Medical Education, Languages and System.

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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