Jill Muehling

2.1k citations
6 papers · 889 indexed · 1 hit paper · h-index 6
Topics
Genetic Associations and Epidemiology (3 papers)Genetic factors in colorectal cancer (2 papers)Colorectal Cancer Screening and Detection (2 papers)

In The Last Decade

Jill Muehling

6 papers receiving 843 citations

Hit Papers

Resolving Individuals Contributing Trace Amounts of DNA t...20082026201420202008250500750

Peers

Jill Muehling
Comparison fields: 5 of 97
  • Artificial Intelligence 370
  • Genetics 308
  • Public Health, Environmental and Occupational Health 258
  • Molecular Biology 217
  • Cancer Research 122
Replace Nicole Vasilevsky with:
Nicole Vasilevsky United States
Jean Louis Raisaro Switzerland
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Anne-Marie Tassé Canada
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Yingxiang Huang United States
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Jill Muehling relative to Nicole Vasilevsky United States Nicole Vasilevsky's profile →
Citations per field
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Nicole Vasilevsky · 1×
Citations per year

Countries citing papers authored by Jill Muehling

Since Specialization
Citations

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

Fields of papers citing papers by Jill Muehling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill Muehling. 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 Jill Muehling. The network helps show where Jill Muehling may publish in the future.

Co-authorship network of co-authors of Jill Muehling

This figure shows the co-authorship network connecting the top 25 collaborators of Jill Muehling. A scholar is included among the top collaborators of Jill Muehling 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 Jill Muehling. Jill Muehling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 18
2 32
3 23
4 39
5 20
6
Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarraysbreakdown →
757

About Jill Muehling

Jill Muehling is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology, having authored 6 papers that have together received 889 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genetic factors in colorectal cancer (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (370 citations) and Genetics (308 citations). Jill Muehling has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include David Duggan, Dietrich A. Stephan, Szabolcs Szelinger, John V. Pearson, Stanley F. Nelson, Nils Homer, David W. Craig, Waibhav Tembe, Li Hsu and John D. Potter. Their work appears in journals such as PLoS Genetics, Cancer Epidemiology Biomarkers & Prevention and BMC Cancer.

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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