Michael J. Wagner

3.3k citations
34 papers · 2.1k indexed · 1 hit paper · h-index 18
Topics
Genetic Associations and Epidemiology (16 papers)Genomic variations and chromosomal abnormalities (7 papers)Genomics and Rare Diseases (6 papers)

In The Last Decade

Michael J. Wagner

34 papers receiving 2.0k citations

Hit Papers

Testing Association of Statistically Inferred Haplotypes ...20022026201020182002100200300400500

Peers

Michael J. Wagner
Comparison fields: 5 of 108
  • Genetics 1.1k
  • Molecular Biology 727
  • Pharmacology 288
  • Endocrinology, Diabetes and Metabolism 284
  • Epidemiology 207
Replace Pamela Whittaker with:
Pamela Whittaker United Kingdom
Margaret G. Ehm United States
Yuki Bradford United States
Scott J. Hebbring United States
Aldi T. Kraja United States
Klaus Lindpaintner United States
Rany M. Salem United States
Yozo Ohnishi Japan
Qinghe Xing China
Ralph McGinnis United Kingdom
Michael J. Wagner relative to Pamela Whittaker United Kingdom Pamela Whittaker's profile →
Citations per field
00.5×2.9×
Pamela Whittaker · 1×
Citations per year

Countries citing papers authored by Michael J. Wagner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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