Donna M. Muzny

160.5k citations
163 papers · 8.9k indexed · 3 hit papers · h-index 49
Topics
Genomics and Rare Diseases (26 papers)Genomics and Phylogenetic Studies (20 papers)Cancer Genomics and Diagnostics (18 papers)

In The Last Decade

Donna M. Muzny

159 papers receiving 8.8k citations

Hit Papers

The gut mycobiome of ...1992202620032014201720121992200400600

Peers

Donna M. Muzny
Comparison fields: 5 of 179
  • Molecular Biology 5.1k
  • Genetics 2.7k
  • Cancer Research 987
  • Plant Science 738
  • Epidemiology 651
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×
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 of co-authors of Donna M. Muzny

This figure shows the co-authorship network connecting the top 25 collaborators of Donna M. Muzny. A scholar is included among the top collaborators of Donna M. Muzny 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 Donna M. Muzny. Donna M. Muzny 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 3
2 8
3 16
4 5
5 4
6 148
7 14
8 1
9 10
10 1
11 104
12 25
13 23
14 60
15 91
16 40
17 120
18 73
19 35
20 56

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) and Cancer Genomics and Diagnostics (18 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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