Steve Arcona

30 papers receiving 888 citations

Steve Arcona's Hit Papers

Remote Patient Monitoring via Non-Invasive Digital Technologies: A Systematic Review 2016 · 308 citations
3080+3+6Years since publication100200300

Peers

Steve Arcona
Comparison fields: 5 of 118
  • Family Practice 24
  • Transplantation 22
  • Psychiatry and Mental health 111
  • Genetics 79
  • Health Informatics 10
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Tessa Kennedy‐Martin United States
Michael John Field Australia
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Jo‐Ann Donner Canada
Shu Chuen Li Australia
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Spencer Phillips Hey United States
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Citations per field
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Citations per year

Countries citing papers authored by Steve Arcona

Since Specialization
Citations

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

Fields of papers citing papers by Steve Arcona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Remote Patient Monitoring via Non-Invasive Digital Technologies: A Systematic Review
Hit paper breakdown →
2016308
2 201690
3 201686
4 200450
5 201948
6 200546
7 201145
8 200842
9 200342
10 200541
11 201430
12 201928
13 201414
14 200012
15 20058
16 20217
17 20236
18 20115
19 20195
20 20224

About Steve Arcona

Steve Arcona is a scholar working on Neurology, Hematology, Psychiatry and Mental health, Genetics and Transplantation, having authored 30 papers that have together received 943 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Hemoglobinopathies and Related Disorders (3 papers), Epilepsy research and treatment (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Iron Metabolism and Disorders (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Family Practice (24 citations), Transplantation (22 citations), Psychiatry and Mental health (111 citations), Genetics (79 citations) and Health Informatics (10 citations). Steve Arcona has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Michèle Angelaccio, Ashok Vegesna, Huanxue Zhou, Yunfeng Li, Christopher R. Taber, Rahul Sasané, Daniel A. Belletti, Simu K. Thomas, Paul J Wicks and John J. Ko. Their work appears in journals such as ClinicoEconomics and Outcomes Research, Journal of Medical Economics, Health and Quality of Life Outcomes, Patient Preference and Adherence and Journal of the American Geriatrics Society.

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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