Daniel Smyth

26 papers receiving 702 citations

Peers

Daniel Smyth
Comparison fields: 5 of 109
  • Microbiology 84
  • Applied Microbiology and Biotechnology 22
  • Applied Psychology 54
  • Epidemiology 265
  • Sensory Systems 31
Replace Gholamreza Esmaeeli Djavid with:
Gholamreza Esmaeeli Djavid Iran
Qingtian Li China
Shruti Srivastava India
Andrew J. Marshall United States
Ciara Kelly Ireland
Juan Yang China
Il Gyu Kong South Korea
Suzanne Kapp Australia
Josephine Lee United States
Daniel Smyth relative to Gholamreza Esmaeeli Djavid Iran Gholamreza Esmaeeli Djavid's profile →
Citations per field
00.5×10.3×
Gholamreza Esmaeeli Djavid · 1×
Citations per year

Countries citing papers authored by Daniel Smyth

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Smyth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017256
2 2016160
3 200660
4 201848
5 201738
6 202125
7 201724
8 201922
9 201016
10 201311
11 20178
12 20227
13 20236
14 20186
15 20225
16 20214
17 20214
18 20144
19 20184
20 20183

About Daniel Smyth

Daniel Smyth is a scholar working on Epidemiology, Hepatology, Cognitive Neuroscience, Sensory Systems and Surgery, having authored 27 papers that have together received 723 indexed citations. Recurring topics across this work include Urinary Tract Infections Management (8 papers), Hepatitis C virus research (5 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Hearing Loss and Rehabilitation (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Pediatric Urology and Nephrology Studies (3 papers), Streptococcal Infections and Treatments (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Microbiology (84 citations), Applied Microbiology and Biotechnology (22 citations), Applied Psychology (54 citations), Epidemiology (265 citations) and Sensory Systems (31 citations). Daniel Smyth has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Wenxing Zha, Ralph Hingson, Naresh Kumar, Kitty K. K. Ho, Renxun Chen, Nathan P. Beahm, Ross T. Tsuyuki, David W. Hoskin, Jamie S. Mader and Jean S. Marshall. Their work appears in journals such as Canadian Pharmacists Journal / Revue des Pharmaciens du Canada, Hearing Research, Diagnostic Microbiology and Infectious Disease, Journal of Studies on Alcohol and Drugs and Journal of Hepatology.

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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