Donna M. Muzny

160.5k citations
163 papers · 8.9k indexed · 3 hit papers · h-index 49
  • Genetics top 0.5%
    • Genomics and Rare Diseases 26
    • Genomic variations and chromosomal abnormalities 14
    • Genetic Associations and Epidemiology 14
    • Genetics and Neurodevelopmental Disorders 8
    • Genomics and Phylogenetic Studies 20
    • RNA and protein synthesis mechanisms 11
    • RNA modifications and cancer 11
    • Cancer Genomics and Diagnostics 18
  • Nephrology top 2%

Donna M. Muzny

159 papers receiving 8.8k citations

Hit Papers

The gut mycobiome of ...6641992202620032014200400600

Peers

Donna M. Muzny
Comparison fields: 5 of 179
  • Genetics 2.7k
  • Molecular Biology 5.1k
  • Cancer Research 987
  • Nephrology 364
  • Biological Psychiatry 97
Replace David W. Threadgill with:
David W. Threadgill United States
Shrikant Mane United States
Mark Daly United States
Andrew P. Morris United Kingdom
John P. Sundberg United States
Peter Nürnberg Germany
Feng Liu China
Anushya Muruganujan United States
Thomas A. Drake United States
Pui–Yan Kwok United States
Donna M. Muzny relative to David W. Threadgill United States David W. Threadgill's profile →
Citations per field
00.5×1.5×2.3×
David W. Threadgill · 1×
Citations per year

Countries citing papers authored by Donna M. Muzny

Since Specialization
Citations

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

Fields of papers citing papers by Donna M. Muzny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna M. Muzny. 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 Donna M. Muzny. The network helps show where Donna M. Muzny may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20228
3 202116
4 20215
5 20214
6 2020148
7 202014
8 20201
9 201910
10 20191
11 2016104
12 201525
13 201523
14 201460
15 201391
16 201140
17 2008120
18 200873
19 199735
20 199556

About Donna M. Muzny

Donna M. Muzny is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 163 papers that have together received 8.9k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (26 papers), Genomics and Phylogenetic Studies (20 papers), Cancer Genomics and Diagnostics (18 papers), Genomic variations and chromosomal abnormalities (14 papers), Genetic Associations and Epidemiology (14 papers), RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (11 papers) and Genetics and Neurodevelopmental Disorders (8 papers). The work is most often cited by research in Genetics (2.7k citations), Molecular Biology (5.1k citations) and Cancer Research (987 citations). Donna M. Muzny has collaborated with scholars based in United States, Türkiye and Poland. Frequent co-authors include Richard A. Gibbs, C. Thomas Caskey, Xiangwei Wu, HarshaVardhan Doddapaneni, Cheng Chi Lee, Ginger Metcalf, James R. Lupski, Joseph F. Petrosino, Jeffrey G. Reid and David A. Wheeler. Their work appears in journals such as Nature, Science and Cell.

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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