John W. Black

2.1k citations
83 papers · 1.4k · h-index 21

Impact in

Papers in

John W. Black

74 papers receiving 1.3k citations

Peers

John W. Black
Comparison fields: 5 of 134
  • Animal Science and Zoology 357
  • Infectious Diseases 352
  • Experimental and Cognitive Psychology 250
  • Agronomy and Crop Science 191
  • Virology 76
Replace Yuji Wada with:
Yuji Wada Japan
John Brown United States
Lisa Collins United Kingdom
Nicola J. Rooney United Kingdom
G. Dunn United Kingdom
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Citations per field
00.5×10×15.9×
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Citations per year

Countries citing papers authored by John W. Black

Since Specialization
Citations

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

Fields of papers citing papers by John W. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Black. 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 John W. Black. The network helps show where John W. Black may publish in the future.

Co-authors

The 25 scholars most cited alongside John W. Black, 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 John W. Black Line = papers co-authored together John W. Black links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1951163
2 1984112
3
Development, application and validation of a Taqman real-time RT-PCR assay for the detection of infectious salmon anaemia virus (ISAV) in Atlantic salmon (Salmo salar).
2006112
4 198395
5 199481
6 199078
7 199168
8 196661
9 201646
10 198545
11 198435
12 195735
13 196134
14 195231
15
Parvoviral enteritis and panleukopenia in dogs.
197926
16 200125
17 197022
18 195122
19
Lectures on Dramatic Art and Literature
200322
20 199821

About John W. Black

John W. Black is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Developmental and Educational Psychology, Infectious Diseases and Artificial Intelligence, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (20 papers), Hearing Loss and Rehabilitation (10 papers), Viral gastroenteritis research and epidemiology (8 papers), Animal Virus Infections Studies (7 papers), Neurobiology of Language and Bilingualism (6 papers), Virus-based gene therapy research (6 papers), Language Development and Disorders (5 papers) and Animal Disease Management and Epidemiology (5 papers). The work is most often cited by research in Animal Science and Zoology (357 citations), Infectious Diseases (352 citations), Experimental and Cognitive Psychology (250 citations), Agronomy and Crop Science (191 citations) and Virology (76 citations). John W. Black has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include N. C. Pedersen, Sadanand Singh, M J VanDerMaaten, Cecelia A. Whetstone, James F. Evermann, A. J. McKeirnan, Richard L. Ott, Niels C. Pedersen, Richard O. Roblin and Julia F. Ridpath. Their work appears in journals such as Language and Speech, Quarterly Journal of Speech, The Journal of the Acoustical Society of America, Journal of Communication Disorders and Folia Phoniatrica et Logopaedica.

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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