Frank LaCreta
- Internal Medicine top 0.5%
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- Atrial Fibrillation Management and Outcomes 17
- Cardiac electrophysiology and arrhythmias 10
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- Diabetes Treatment and Management 24
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 10
- Antibiotics Pharmacokinetics and Efficacy 8
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 10
- Antibiotics Pharmacokinetics and Efficacy 8
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- Metabolism, Diabetes, and Cancer 11
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- Drug Transport and Resistance Mechanisms 11
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- Pancreatic function and diabetes 11
- Co-authors
- Charles FrostDavid W. BoultonSreeneeranj KasichayanulaYu Chen BarrettJessie WangRebecca A. BoydXiaoni LiuSteven C. Griffen
- Cited by
- Internal MedicineCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- Blood (1 paper)Diabetes Care (1 paper)JNCI Journal of the National Cancer Institute (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Frank LaCreta
109 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 117
- Internal Medicine 863
- Cardiology and Cardiovascular Medicine 1.7k
- Endocrinology, Diabetes and Metabolism 1.1k
- Pharmacology 405
- Pharmacology 482
Countries citing papers authored by Frank LaCreta
This map shows the geographic impact of Frank LaCreta'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 Frank LaCreta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank LaCreta more than expected).
Fields of papers citing papers by Frank LaCreta
This network shows the impact of papers produced by Frank LaCreta. 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 Frank LaCreta. The network helps show where Frank LaCreta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank LaCreta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 5 | |
| 3 | 2017 | 20 | |
| 4 | 2017 | 39 | |
| 5 | 2016 | 2 | |
| 6 | 2016 | 30 | |
| 7 | 2015 | 25 | |
| 8 | 2015 | 131 | |
| 9 | 2013 | 225 | |
| 10 | 2011 | 39 | |
| 11 | 2000 | 27 | |
| 12 | 2000 | 12 | |
| 13 | 2000 | 13 | |
| 14 | 1997 | 5 | |
| 15 | 1995 | 6 | |
| 16 | 1993 | 35 | |
| 17 | 1993 | 2 | |
| 18 | 1991 | 2 | |
| 19 | 1989 | 9 | |
| 20 | 1988 | 8 |
About Frank LaCreta
Frank LaCreta is a scholar working on Internal Medicine, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 110 papers that have together received 4.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (24 papers), Atrial Fibrillation Management and Outcomes (17 papers), Metabolism, Diabetes, and Cancer (11 papers), Drug Transport and Resistance Mechanisms (11 papers), Pancreatic function and diabetes (11 papers), Pharmacogenetics and Drug Metabolism (10 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Antibiotics Pharmacokinetics and Efficacy (8 papers). The work is most often cited by research in Internal Medicine (863 citations), Cardiology and Cardiovascular Medicine (1.7k citations) and Endocrinology, Diabetes and Metabolism (1.1k citations). Frank LaCreta has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Charles Frost, David W. Boulton, Sreeneeranj Kasichayanula, Yu Chen Barrett, Jessie Wang, Rebecca A. Boyd, Xiaoni Liu, Steven C. Griffen, Wonkyung Byon and Alan Schuster. Their work appears in journals such as Blood, Diabetes Care and JNCI Journal of the National Cancer Institute.
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.