Tom Loney

5.4k citations
109 papers · 2.1k · h-index 25

Impact in

Papers in

Tom Loney

98 papers receiving 2.1k citations

Peers

Tom Loney
Comparison fields: 5 of 161
  • Applied Psychology 132
  • Infectious Diseases 468
  • Dermatology 216
  • Modeling and Simulation 89
  • Research and Theory 16
Replace Miloslav Klugar with:
Miloslav Klugar Czechia
Maria Rosaria Gualano Italy
Fabrizio Bert Italy
Abdallah Y. Naser Jordan
Mustafa İlhan Türkiye
Akihito Hagihara Japan
Abdulqadir J. Nashwan Qatar
Irfan Ullah Pakistan
Salman Khazaei Iran
Salvatore Zaffina Italy
Tom Loney relative to Miloslav Klugar Czechia Miloslav Klugar's profile →
Citations per field
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Miloslav Klugar · 1×
Citations per year

Countries citing papers authored by Tom Loney

Since Specialization
Citations

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

Fields of papers citing papers by Tom Loney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020198
2 2008152
3 2017140
4 201391
5 200777
6 201175
7 201974
8 201472
9 202259
10 201058
11 202055
12 202050
13 201546
14 201945
15 202045
16 202140
17 201537
18 202134
19 202031
20 201230

About Tom Loney

Tom Loney is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, General Health Professions, Physiology and Epidemiology, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), COVID-19 Clinical Research Studies (9 papers), Gestational Diabetes Research and Management (8 papers), Air Quality and Health Impacts (7 papers), Skin Protection and Aging (7 papers), SARS-CoV-2 detection and testing (6 papers), Obesity, Physical Activity, Diet (6 papers) and Climate Change and Health Impacts (6 papers). The work is most often cited by research in Applied Psychology (132 citations), Infectious Diseases (468 citations), Dermatology (216 citations), Modeling and Simulation (89 citations) and Research and Theory (16 citations). Tom Loney has collaborated with scholars based in United Arab Emirates, United States and Austria. Frequent co-authors include Martyn Standage, Simon J. Sebire, Iffat Elbarazi, Marília Silva Paulo, Said Yousef, Alawi Alsheikh‐Ali, Nico Nagelkerke, Abiola Senok, Hanan Al Suwaidi and Norbert Nowotny. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Public Health, Environment International, BMJ Open and PLoS ONE.

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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