Clair Blacketer

39 papers receiving 1.0k citations

Clair Blacketer's Hit Papers

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment 2020 · 398 citations
3980+2+4Years since publication100200300

Peers

Clair Blacketer
Comparison fields: 5 of 109
  • Health Informatics 37
  • Biological Psychiatry 37
  • Health Information Management 66
  • Periodontics 45
  • Infectious Diseases 108
Replace Rupa Makadia with:
Rupa Makadia United States
Antoine Neuraz France
Hanieh Razzaghi United States
Jared D. Huling United States
Ramkiran Gouripeddi United States
Natalie K. Fitzpatrick United Kingdom
Mollie Rebecca Cummins United States
Nicholas E. Ingraham United States
Kristine E. Lynch United States
ROBERT TALBOTT MILLER United States
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Citations per year

Countries citing papers authored by Clair Blacketer

Since Specialization
Citations

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

Fields of papers citing papers by Clair Blacketer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
Hit paper breakdown →
2020398
2 202164
3 201661
4 201758
5 201652
6 201743
7 202137
8 202134
9 202030
10 202127
11 201925
12 202423
13 202319
14 202219
15 202318
16 202117
17 202313
18 202412
19 202311
20 202110

About Clair Blacketer

Clair Blacketer is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Neurology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Long-Term Effects of COVID-19 (3 papers), Diabetes Treatment and Management (3 papers), Data-Driven Disease Surveillance (2 papers), COVID-19 and healthcare impacts (2 papers), Retinal Diseases and Treatments (2 papers) and Treatment of Major Depression (2 papers). The work is most often cited by research in Health Informatics (37 citations), Biological Psychiatry (37 citations), Health Information Management (66 citations), Periodontics (45 citations) and Infectious Diseases (108 citations). Clair Blacketer has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include M. Soledad Cepeda, Patrick B. Ryan, Peter R. Rijnbeek, Eva G. Katz, Frank DeFalco, Paul Stang, Michael C. Lynch, Rachel B. Weinstein, Jenna Reps and Daniel Fife. Their work appears in journals such as Journal of the American Medical Informatics Association, Wellcome Open Research, Journal of Medical Internet Research, Clinical Epidemiology and BMJ Open.

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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