Margaret G. Ehm

11.4k citations
43 papers · 3.3k indexed · 1 hit paper · h-index 25

Margaret G. Ehm

42 papers receiving 3.3k citations

Hit Papers

Testing Association of Statistically Inferred Haplotypes ...5472002202620102018100200300400500

Peers

Margaret G. Ehm
Comparison fields: 5 of 124
  • Genetics 1.7k
  • Endocrine and Autonomic Systems 193
  • Physiology 659
  • Molecular Biology 1.2k
  • Endocrinology, Diabetes and Metabolism 255
Replace Jeffrey R. O’Connell with:
Jeffrey R. O’Connell United States
Daniel K. Burns United States
Eric Jorgenson United States
Ron Korstanje United States
Norihiro Kato Japan
Reinhart Kluge Germany
Jennifer J. Johnston United States
Michael R. Garrett United States
Karen L. Mohlke United States
Bermseok Oh South Korea
Margaret G. Ehm relative to Jeffrey R. O’Connell United States Jeffrey R. O’Connell's profile →
Citations per field
00.5×1.7×
Jeffrey R. O’Connell · 1×
Citations per year

Countries citing papers authored by Margaret G. Ehm

Since Specialization
Citations

This map shows the geographic impact of Margaret G. Ehm'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 Margaret G. Ehm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret G. Ehm more than expected).

Fields of papers citing papers by Margaret G. Ehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret G. Ehm. 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 Margaret G. Ehm. The network helps show where Margaret G. Ehm may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Margaret G. Ehm, 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 Margaret G. Ehm Line = papers co-authored together Margaret G. Ehm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202014
2 201634
3 20153
4 201314
5 2012206
6 201230
7 201140
8 200811
9 200869
10 200617
11 200510
12 200441
13 20048
14 2003114
15
Testing Association of Statistically Inferred Haplotypes with Discrete and Continuous Traits in Samples of Unrelated Individualsbreakdown →
2002547
16 200168
17 200155
18 1998146
19 1998283
20 1998382

About Margaret G. Ehm

Margaret G. Ehm is a scholar working on Genetics, Pharmacology and Endocrine and Autonomic Systems, having authored 43 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (26 papers), Genomics and Rare Diseases (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Bioinformatics and Genomic Networks (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Evolution and Genetic Dynamics (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Genetics (1.7k citations), Endocrine and Autonomic Systems (193 citations) and Physiology (659 citations). Margaret G. Ehm has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael J. Wagner, Dmitri V. Zaykin, B. S. Weir, Dahlia M. Nielsen, Peter H. Westfall, Daniel K. Burns, Matthew R. Nelson, H. Sakul, William C. Knowler and D B Thompson. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.

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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