Tim K. Mackey

207 papers receiving 4.9k citations

Tim K. Mackey's Hit Papers

hOCBS: A privacy-preserving blockchain framework for healthcare data leveraging an on-chain and off-chain system design 2021 · 136 citations
1360+3+6Years since publication50100150200

Peers

Tim K. Mackey
Comparison fields: 5 of 194
  • Public Health, Environmental and Occupational Health 1.2k
  • Pharmacology 379
  • Health Informatics 55
  • Information Systems 916
  • Health 237
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Countries citing papers authored by Tim K. Mackey

Since Specialization
Citations

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

Fields of papers citing papers by Tim K. Mackey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim K. Mackey. 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 Tim K. Mackey. The network helps show where Tim K. Mackey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 222 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of existing and emerging digital technologies to combat the global trade in fake medicines
Hit paper breakdown →
2017244
2
‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare
Hit paper breakdown →
2019195
3 2011164
4 2017155
5 2014153
6 2018143
7
hOCBS: A privacy-preserving blockchain framework for healthcare data leveraging an on-chain and off-chain system design
Hit paper breakdown →
2021136
8 2020131
9 2013118
10 2016113
11 2020102
12 201192
13 201589
14 201977
15 201776
16 201571
17 201570
18 201869
19 201668
20 202067

About Tim K. Mackey

Tim K. Mackey is a scholar working on Public Health, Environmental and Occupational Health, Economics and Econometrics, Physiology, Pharmacology and Sociology and Political Science, having authored 222 papers that have together received 5.1k indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (40 papers), Pharmaceutical Quality and Counterfeiting (36 papers), Pharmaceutical industry and healthcare (24 papers), Smoking Behavior and Cessation (22 papers), Misinformation and Its Impacts (13 papers), Blockchain Technology Applications and Security (10 papers), Global Public Health Policies and Epidemiology (9 papers) and Ethics in Clinical Research (7 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.2k citations), Pharmacology (379 citations), Health Informatics (55 citations), Information Systems (916 citations) and Health (237 citations). Tim K. Mackey has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Bryan A. Liang, Raphael Cuomo, Gaurvika M. L. Nayyar, Jiawei Li, Qing Xu, Vidya Purushothaman, Neal Shah, Mingxiang Cai, Kevin A. Clauson and Janani Kalyanam. Their work appears in journals such as Journal of Medical Internet Research, JMIR Public Health and Surveillance, Frontiers in Public Health, PLoS ONE and BMC Public Health.

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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