Laura Elnitski

22.3k citations
75 papers · 5.0k indexed · 2 hit papers · h-index 30
Topics
Genomics and Chromatin Dynamics (27 papers)Genomics and Phylogenetic Studies (24 papers)RNA and protein synthesis mechanisms (23 papers)

In The Last Decade

Laura Elnitski

72 papers receiving 4.9k citations

Hit Papers

Galaxy: A platform for interactive large-scale genome ana...20042026201120182005200450010001.5k

Peers

Laura Elnitski
Comparison fields: 5 of 150
  • Molecular Biology 3.9k
  • Genetics 1.2k
  • Plant Science 898
  • Cancer Research 602
  • Ecology 267
Replace Cathy Riemer with:
Cathy Riemer United States
Jennifer Harrow United Kingdom
Belinda Giardine United States
Paul Shannon United States
Mathieu Blanchette Canada
Manuel A. Rivas United States
Jared Maguire United States
Paul Kersey United Kingdom
Donna Karolchik United States
Hilmar Lapp United States
Laura Elnitski relative to Cathy Riemer United States Cathy Riemer's profile →
Citations per field
00.5×1.5×1.9×
Cathy Riemer · 1×
Citations per year

Countries citing papers authored by Laura Elnitski

Since Specialization
Citations

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

Fields of papers citing papers by Laura Elnitski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Elnitski

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Elnitski. A scholar is included among the top collaborators of Laura Elnitski 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 Laura Elnitski. Laura Elnitski 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 0
2 0
3 2
4 4
5 7
6 3
7 2
8 13
9 26
10 2
11 38
12 9
13 41
14 48
15 14
16 1
17 19
18
Orthology and Multiple Class Prediction of Functional Elements in the Human Genome.
0
19
Galaxy: A platform for interactive large-scale genome analysisbreakdown →
1541
20 68

About Laura Elnitski

Laura Elnitski is a scholar working on Molecular Biology, Cancer Research and Genetics, having authored 75 papers that have together received 5.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (27 papers), Genomics and Phylogenetic Studies (24 papers) and RNA and protein synthesis mechanisms (23 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Genetics (1.2k citations) and Cancer Research (602 citations). Laura Elnitski has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Webb Miller, Ross C. Hardison, Cathy Riemer, James Taylor, Belinda Giardine, Richard Burhans, Prachi Shah, István Albert, Daniel Blankenberg and W. James Kent. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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