Mark A. Parkulo

478 citations
18 papers · 332 · h-index 9

Impact in

Papers in

Mark A. Parkulo

17 papers receiving 313 citations

Peers

Mark A. Parkulo
Comparison fields: 5 of 65
  • Applied Microbiology and Biotechnology 41
  • Pharmacology 78
  • Health Informatics 7
  • Geriatrics and Gerontology 11
  • Pediatrics, Perinatology and Child Health 39
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Seb Bacon United Kingdom
Niti Mittal India
А. С. Колбин Russia
Vijayanarayana Kunhikatta India
Demissie Alemayehu United States
Sarah Pontefract United Kingdom
Lana Nežić Bosnia and Herzegovina
Ana Martín‐Suárez Spain
Francesco Innocenti Italy
Pia Bastholm‐Rahmner Sweden
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Citations per year

Countries citing papers authored by Mark A. Parkulo

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Parkulo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Parkulo. 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 Mark A. Parkulo. The network helps show where Mark A. Parkulo may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201679
2 202059
3 201950
4
Antibiotic prescribing practices in a teaching clinic: comparison of resident and staff physicians.
200140
5 201931
6 201818
7 200112
8 200112
9 202010
10
Technical Challenges and Opportunities when Implementing Pharmacogenomics Decision Support Integrated in the Electronic Health Record.
20175
11 20224
12 20203
13 20153
14 20222
15 20182
16 20211
17
Performance Accuracy of a Laboratory-Developed Real-Time RT-PCR Method for Detection of SARS-CoV-2 in Self-Collected Saliva Specimens.
20211
18
An Intra-office E-mail System in a Primary Care Practice: Implementation Challenges and Solutions.
20010

About Mark A. Parkulo

Mark A. Parkulo is a scholar working on Infectious Diseases, Pharmacology, Geriatrics and Gerontology, Applied Microbiology and Biotechnology and General Health Professions, having authored 18 papers that have together received 332 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Antibiotic Use and Resistance (3 papers), Infection Control and Ventilation (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 and healthcare impacts (2 papers), Statistical Methods in Clinical Trials (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (41 citations), Pharmacology (78 citations), Health Informatics (7 citations), Geriatrics and Gerontology (11 citations) and Pediatrics, Perinatology and Child Health (39 citations). Mark A. Parkulo has collaborated with scholars based in United States and Germany. Frequent co-authors include Betty A. Mincey, Iftikhar J. Kullo, Pedro J. Caraballo, Suzette J. Bielinski, Wayne T. Nicholson, Gianrico Farrugia, Cloann G. Schultz, Michelle A. Elliott, Janet E. Olson and Richard M. Weinshilboum. Their work appears in journals such as Journal of the American Medical Informatics Association, British journal of surgery, JAMA Network Open, JAMA Internal Medicine and Genetics in Medicine.

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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