Michael J. Wagner
- Genetics top 2%
- Molecular Biology top 10%
- Pharmacology top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Co-authors
- Margaret G. EhmDmitri V. ZaykinPeter H. WestfallAlison A. Motsinger‐ReifWilliam C. SummersWilma P. SummersZhaoling MengChun‐Fang Xu
- Topics
- Genetic Associations and Epidemiology (16 papers)Genomic variations and chromosomal abnormalities (7 papers)Genomics and Rare Diseases (6 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
- Molecular Biology 727
- Pharmacology 288
- Endocrinology, Diabetes and Metabolism 284
- Epidemiology 207
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 of co-authors of Michael J. Wagner
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Wagner. A scholar is included among the top collaborators of Michael J. Wagner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael J. Wagner. Michael J. Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 25 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 48 | |
| 9 | 279 | |
| 10 | 265 | |
| 11 | 41 | |
| 12 | 8 | |
| 13 | 114 | |
| 14 | Testing Association of Statistically Inferred Haplotypes with Discrete and Continuous Traits in Samples of Unrelated Individualsbreakdown → | 547 |
| 15 | 155 | |
| 16 | 47 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | 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) and Genomics and Rare Diseases (6 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.