World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
49
Citations
8453
World Ranking
2984
National Ranking
1440

Tim K. Mackey publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Tim K. Mackey sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 223 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

Tim K. Mackey D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Tim K. Mackey sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 49 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Overview

Tim K. Mackey is affiliated with the University of California, San Diego in the United States. Their scholarly work primarily spans the fields of Medicine and Social Sciences, with a particular focus on subfields such as Sociology and Political Science, Public Health, Environmental and Occupational Health, Epidemiology, Physiology, and Health.

The research topics that Tim K. Mackey covers include:

  • Misinformation and Its Impacts
  • Smoking Behavior and Cessation
  • Data-Driven Disease Surveillance
  • Vaccine Coverage and Hesitancy
  • Social Media in Health Education
  • Pharmaceutical Quality and Counterfeiting
  • Pharmaceutical Economics and Policy

Tim K. Mackey has contributed to multiple academic publications with a focus on public health surveillance, infoveillance, and healthcare data frameworks. Selected recent papers include:

  • "hOCBS: A privacy-preserving blockchain framework for healthcare data leveraging an on-chain and off-chain system design," 2021, Information Processing & Management
  • "Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study," 2020, JMIR Public Health and Surveillance
  • "COVID-19 and risks to the supply and quality of tests, drugs, and vaccines," 2020, The Lancet Global Health
  • "Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study," 2020, JMIR Public Health and Surveillance
  • "Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram," 2020, JMIR Public Health and Surveillance

Their frequent coauthors include:

  • Raphael E. Cuomo
  • Jiawei Li
  • Matthew Nali
  • Vidya Purushothaman
  • Joshua Yang

Tim K. Mackey publishes regularly in several academic venues, with the most frequent being:

  • JMIR Infodemiology
  • JMIR Public Health and Surveillance
  • Drug and Alcohol Dependence
  • Journal of Medical Internet Research
  • Research Square

Best Publications

  • A review of existing and emerging digital technologies to combat the global trade in fake medicines

    Tim K. Mackey;Gaurvika Nayyar

  • ‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare

    Tim K. Mackey;Tsung-Ting Kuo;Basker Gummadi;Kevin A. Clauson

  • The global counterfeit drug trade: patient safety and public health risks

    Tim K. Mackey;Tim K. Mackey;Bryan A. Liang;Bryan A. Liang

  • Emerging and Reemerging Neglected Tropical Diseases: a Review of Key Characteristics, Risk Factors, and the Policy and Innovation Environment

    Tim K. Mackey;Bryan A. Liang;Raphael Cuomo;Ryan Hafen

  • Leveraging Blockchain Technology to Enhance Supply Chain Management in Healthcare:: An exploration of challenges and opportunities in the health supply chain

    Kevin A. Clauson;Elizabeth A. Breeden;Cameron Davidson;Timothy K. Mackey

  • Types and Distribution of Payments From Industry to Physicians in 2015

    Kathryn R. Tringale;Deborah Marshall;Tim K. Mackey;Michael Connor

  • hOCBS: A privacy-preserving blockchain framework for healthcare data leveraging an on-chain and off-chain system design

    Ken Miyachi;Timothy Mackey

  • Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study.

    Jiawei Li;Qing Xu;Raphael Cuomo;Vidya Purushothaman

  • The Minamata Convention on Mercury: attempting to address the global controversy of dental amalgam use and mercury waste disposal.

    Tim K. Mackey;John T. Contreras;Bryan A. Liang

  • Direct-to-consumer advertising with interactive internet media: global regulation and public health issues.

    Bryan A. Liang;Timothy Mackey

  • Digital danger: a review of the global public health, patient safety and cybersecurity threats posed by illicit online pharmacies

    Tim K. Mackey;Gaurvika Nayyar

  • Prevalence and Global Health Implications of Social Media in Direct-to-Consumer Drug Advertising

    Bryan A Liang;Timothy K Mackey

  • Searching for Safety: Addressing Search Engine, Website, and Provider Accountability for Illicit Online Drug Sales

    Bryan A. Liang;Tim MacKey

  • COVID-19 and risks to the supply and quality of tests, drugs, and vaccines.

    P N Newton;K C Bond

  • Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study.

    Tim Mackey;Vidya Purushothaman;Jiawei Li;Neal Shah

  • Combating healthcare corruption and fraud with improved global health governance.

    Tim K Mackey;Bryan A Liang

  • Falsified and Substandard Drugs: Stopping the Pandemic

    Gaurvika M. L. Nayyar;Joel G. Breman;Tim K. Mackey;John P. Clark

  • Exploring the e-cigarette e-commerce marketplace: Identifying Internet e-cigarette marketing characteristics and regulatory gaps

    Tim K. Mackey;Angela Miner;Raphael E. Cuomo

  • Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data

    Takeo Katsuki;Tim Ken Mackey;Raphael Cuomo

  • Twitter-Based Detection of Illegal Online Sale of Prescription Opioid.

    Tim K. Mackey;Janani Kalyanam;Takeo Katsuki;Gert Lanckriet

  • The sustainable development goals as a framework to combat health-sector corruption.

    Tim K Mackey;Taryn Vian;Jillian Kohler

  • Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram.

    Tim Ken Mackey;Jiawei Li;Vidya Purushothaman;Matthew Nali

Frequent Co-Authors

Steffanie A. Strathdee
Steffanie A. Strathdee University of California, San Diego
Leo Beletsky
Leo Beletsky Northeastern University
Antoine Geissbuhler
Antoine Geissbuhler University of Geneva
Gert R. G. Lanckriet
Gert R. G. Lanckriet University of California, San Diego
Gunther Eysenbach
Gunther Eysenbach University of Victoria
Thomas L. Patterson
Thomas L. Patterson University of California, San Diego
Matthew A. Brown
Matthew A. Brown Guy's and St Thomas' NHS Foundation Trust
Scott C. Roesch
Scott C. Roesch San Diego State University
George M. Church
George M. Church Harvard University
John P. Pierce
John P. Pierce University of California, San Diego

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