Michael J. Lafferty

439 citations
13 papers · 253 · h-index 9

Impact in

Papers in

Michael J. Lafferty

13 papers receiving 248 citations

Peers

Michael J. Lafferty
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 80
  • Endocrinology, Diabetes and Metabolism 58
  • Discrete Mathematics and Combinatorics 8
  • Cancer Research 24
  • Molecular Biology 114
Replace Tomoaki Sano with:
Tomoaki Sano Japan
Ajay Jajodia India
Norma P. Sandoval United States
Angelica Tatar United States
Rick A. Davies United Kingdom
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Stephanie Hamill United States
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Michael J. Lafferty relative to Tomoaki Sano Japan Tomoaki Sano's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael J. Lafferty

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael J. Lafferty Line = papers co-authored together Michael J. Lafferty links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201374
2 202145
3 201332
4 202125
5 201623
6 202312
7 202411
8 20189
9 20228
10 20185
11 20234
12
Financial Times world survey of annual reports, 1980 : an analysis of 200 major quoted companies' annual reports and accounts covering 20 leading countries
19803
13 20202

About Michael J. Lafferty

Michael J. Lafferty is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cancer Research and Oncology, having authored 13 papers that have together received 253 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Epigenetics and DNA Methylation (1 paper) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (80 citations), Endocrinology, Diabetes and Metabolism (58 citations), Discrete Mathematics and Combinatorics (8 citations), Cancer Research (24 citations) and Molecular Biology (114 citations). Michael J. Lafferty has collaborated with scholars based in United States and Russia. Frequent co-authors include Saskia B. Neher, Dorothy A. Erie, Jason L. Stein, Dan Liang, Nil Aygün, Michael I. Love, Angela L. Elwell, Luis de la Torre-Ubieta, Daniel H. Geschwind and John P. Kane. Their work appears in journals such as Biochemistry, Biological Psychiatry, PLoS ONE, The American Journal of Human Genetics and Discrete Applied Mathematics.

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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