Ami Buikema

915 citations
38 papers · 651 indexed · h-index 14

Ami Buikema

36 papers receiving 628 citations

Peers

Ami Buikema
Comparison fields: 5 of 89
  • Hepatology 137
  • Microbiology 95
  • Health 125
  • Family Practice 21
  • Epidemiology 267
Replace Daina B. Esposito with:
Daina B. Esposito United States
Silvia Pérez-Vilar United States
Christian B. Ramers United States
Leah J. McGrath United States
Robert A. Wright United Kingdom
Farah Seedat United Kingdom
Anne K. Monroe United States
G. Thomas Ray United States
Cynthia Nakasato United States
Georg Staubli Switzerland
Ami Buikema relative to Daina B. Esposito United States Daina B. Esposito's profile →
Citations per field
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Daina B. Esposito · 1×
Citations per year

Countries citing papers authored by Ami Buikema

Since Specialization
Citations

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

Fields of papers citing papers by Ami Buikema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202129
2 20211
3 202016
4 20206
5 20205
6 201925
7 201911
8 20188
9 201814
10 20184
11 201822
12 201660
13 20152
14 201319
15 20129
16 201220
17 201294
18
Healthcare costs and nonadherence among chronic opioid users.
201170
19 20111
20 20117

About Ami Buikema

Ami Buikema is a scholar working on Family Practice, Microbiology, Health, Hepatology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 651 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (9 papers), Bacterial Infections and Vaccines (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Vaccine Coverage and Hesitancy (6 papers), Respiratory Support and Mechanisms (5 papers), Virology and Viral Diseases (4 papers), Pneumonia and Respiratory Infections (4 papers) and Medication Adherence and Compliance (4 papers). The work is most often cited by research in Hepatology (137 citations), Microbiology (95 citations), Health (125 citations), Family Practice (21 citations) and Epidemiology (267 citations). Ami Buikema has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Tim Bancroft, Jonathan P. Kelly, Anjali Jain, Craig J. Newschaffer, Jaclyn Marshall, Norah A. Terrault, Stuart C. Gordon, Fayez M. Hamzeh, Paul J. Pockros and Mahesh Kulakodlu. Their work appears in journals such as Journal of Managed Care & Specialty Pharmacy, Respiratory Medicine, Vaccine, Open Forum Infectious Diseases and Population Health Management.

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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