Michael J. Wagner
- Genetics top 2%
- Genetic Associations and Epidemiology 16
- Genomic variations and chromosomal abnormalities 7
- Genomics and Rare Diseases 6
- Genetic Mapping and Diversity in Plants and Animals 4
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 6
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- Diabetes Treatment and Management 5
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 3
- Biochemistry top 10%
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Margaret G. EhmDmitri V. ZaykinPeter H. WestfallAlison A. Motsinger‐ReifWilliam C. SummersWilma P. SummersZhaoling MengChun‐Fang Xu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Blood (1 paper)Diabetes Care (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Michael J. Wagner
34 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 1.1k
- Pharmacology 288
- Endocrinology, Diabetes and Metabolism 284
- Molecular Biology 727
- Biochemistry 54
Countries citing papers authored by Michael J. Wagner
This map shows the geographic impact of Michael J. Wagner'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. Wagner 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. Wagner more than expected).
Fields of papers citing papers by Michael J. Wagner
This network shows the impact of papers produced by Michael J. Wagner. 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. Wagner. The network helps show where Michael J. Wagner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael J. Wagner, 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 | 2019 | 26 | |
| 2 | 2019 | 8 | |
| 3 | 2017 | 7 | |
| 4 | 2017 | 9 | |
| 5 | 2017 | 25 | |
| 6 | 2016 | 2 | |
| 7 | 2016 | 13 | |
| 8 | 2010 | 48 | |
| 9 | 2010 | 279 | |
| 10 | 2008 | 265 | |
| 11 | 2004 | 41 | |
| 12 | 2004 | 8 | |
| 13 | 2003 | 114 | |
| 14 | Testing Association of Statistically Inferred Haplotypes with Discrete and Continuous Traits in Samples of Unrelated Individualsbreakdown → | 2002 | 547 |
| 15 | 2000 | 155 | |
| 16 | 1998 | 47 | |
| 17 | 1997 | 2 | |
| 18 | 1996 | 10 | |
| 19 | 1995 | 4 | |
| 20 | 1994 | 6 |
About Michael J. Wagner
Michael J. Wagner is a scholar working on Genetics, Pharmacology and Developmental Biology, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Genomic variations and chromosomal abnormalities (7 papers), Genomics and Rare Diseases (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Diabetes Treatment and Management (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Genetics (1.1k citations), Pharmacology (288 citations) and Endocrinology, Diabetes and Metabolism (284 citations). Michael J. Wagner has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Margaret G. Ehm, Dmitri V. Zaykin, Peter H. Westfall, Alison A. Motsinger‐Reif, William C. Summers, Wilma P. Summers, Zhaoling Meng, Chun‐Fang Xu, Callum J. Bell and Edwin van den Oord. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Diabetes Care.
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.