Michael J. Lafferty
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Lipid metabolism and disorders
Papers in
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- Genomics and Chromatin Dynamics 2
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- Lipid metabolism and disorders 4
- Co-authors
- Saskia B. Neher (4 shared papers)Dorothy A. Erie (3 shared papers)Dan Liang (4 shared papers)Jason L. Stein (5 shared papers)Nil Aygün (4 shared papers)Michael I. Love (3 shared papers)Luis de la Torre-Ubieta (3 shared papers)John P. Kane (1 shared paper)
- Journals
- Biochemistry (2 papers)Biological Psychiatry (1 paper)The American Journal of Human Genetics (1 paper)ACS Omega (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Michael J. Lafferty
13 papers receiving 237 citations
Peers
Comparison fields: 5 of 64
- Endocrinology, Diabetes and Metabolism 62
- Cardiology and Cardiovascular Medicine 84
- Cancer Research 30
- Molecular Biology 112
- Discrete Mathematics and Combinatorics 5
Countries citing papers authored by Michael J. Lafferty
This map shows the geographic impact of Michael J. Lafferty'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 Michael J. Lafferty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Lafferty more than expected).
Fields of papers citing papers by Michael J. Lafferty
This network shows the impact of papers produced by Michael J. Lafferty. 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 Michael J. Lafferty. The network helps show where Michael J. Lafferty may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Lafferty, 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 | 2013 | 75 | |
| 2 | 2021 | 43 | |
| 3 | 2013 | 29 | |
| 4 | 2021 | 25 | |
| 5 | 2016 | 23 | |
| 6 | 2018 | 9 | |
| 7 | 2024 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2018 | 5 | |
| 11 | 2023 | 4 | |
| 12 | Financial Times world survey of annual reports, 1980 : an analysis of 200 major quoted companies' annual reports and accounts covering 20 leading countries | 1980 | 3 |
| 13 | 2020 | 2 |
About Michael J. Lafferty
Michael J. Lafferty is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 13 papers that have together received 241 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Genomics and Chromatin Dynamics (2 papers), Genomic variations and chromosomal abnormalities (1 paper), Genetic Syndromes and Imprinting (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (62 citations), Cardiology and Cardiovascular Medicine (84 citations), Cancer Research (30 citations), Molecular Biology (112 citations) and Discrete Mathematics and Combinatorics (5 citations). Michael J. Lafferty has collaborated with scholars based in United States and Russia. Frequent co-authors include Saskia B. Neher, Dorothy A. Erie, Dan Liang, Jason L. Stein, Nil Aygün, Michael I. Love, Luis de la Torre-Ubieta, John P. Kane, Oleh Krupa and Daniel H. Geschwind. Their work appears in journals such as Biochemistry, Biological Psychiatry, The American Journal of Human Genetics, ACS Omega and Journal of Biological Chemistry.
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.