T. Daniels

2.6k citations
36 papers · 1.1k · h-index 15

Impact in

Papers in

T. Daniels

33 papers receiving 1.1k citations

Peers

T. Daniels
Comparison fields: 5 of 116
  • Pulmonary and Respiratory Medicine 626
  • Health Informatics 25
  • Emergency Medical Services 85
  • Molecular Medicine 47
  • Endocrinology 46
Replace Alex H. Gifford with:
Alex H. Gifford United States
G. Döering Germany
Leah Cuthbertson United Kingdom
Lindsay J. Caverly United States
David J. Serisier Australia
Anne Prévötat France
Adelaida Lamas Spain
Tavs Qvist Denmark
Lisa A. Moulton United States
Nicole Acosta Canada
T. Daniels relative to Alex H. Gifford United States Alex H. Gifford's profile →
Citations per field
00.5×1.5×1.9×
Alex H. Gifford · 1×
Citations per year

Countries citing papers authored by T. Daniels

Since Specialization
Citations

This map shows the geographic impact of T. Daniels'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 T. Daniels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Daniels more than expected).

Fields of papers citing papers by T. Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010202
2 2012118
3 2011103
4 201588
5 201477
6 200869
7 202163
8 201059
9 201051
10 201250
11 201340
12 202038
13 201422
14 201820
15 202119
16 20169
17 20197
18 20147
19 20236
20 20214

About T. Daniels

T. Daniels is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Emergency Medical Services and Physiology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (25 papers), Gut microbiota and health (6 papers), Pediatric health and respiratory diseases (4 papers), Tracheal and airway disorders (3 papers), Asthma and respiratory diseases (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Machine Learning in Healthcare (2 papers) and Nosocomial Infections in ICU (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (626 citations), Health Informatics (25 citations), Emergency Medical Services (85 citations), Molecular Medicine (47 citations) and Endocrinology (46 citations). T. Daniels has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Mary P. Carroll, Geraint B. Rogers, Kenneth D. Bruce, Franziska A. Stressmann, Chris Gast, Alan W. Walker, Julian Parkhill, Lucas R. Hoffman, Nilesh Patel and Benjamin Forbes. Their work appears in journals such as Journal of Cystic Fibrosis, Pediatric Pulmonology, Journal of Clinical Microbiology, The ISME Journal and Archives of Disease in Childhood.

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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