Mitchell R. Vollger

14.0k citations
19 papers · 1.6k indexed · 4 hit papers · h-index 11
Topics
Chromosomal and Genetic Variations (12 papers)Genomics and Phylogenetic Studies (10 papers)Genomic variations and chromosomal abnormalities (9 papers)

In The Last Decade

Mitchell R. Vollger

17 papers receiving 1.6k citations

Hit Papers

Long-read human genome sequencing and its applications20202026202220242020202020222022100200300400500

Peers

Mitchell R. Vollger
Comparison fields: 5 of 104
  • Molecular Biology 1.2k
  • Plant Science 612
  • Genetics 557
  • Cancer Research 159
  • Ecology 103
Replace Karen H. Miga with:
Karen H. Miga United States
Andrew Wu United Kingdom
Hui Jiang China
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Mitchell R. Vollger relative to Karen H. Miga United States Karen H. Miga's profile →
Citations per field
00.5×1.5×1.9×
Karen H. Miga · 1×
Citations per year

Countries citing papers authored by Mitchell R. Vollger

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell R. Vollger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell R. Vollger. 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 Mitchell R. Vollger. The network helps show where Mitchell R. Vollger may publish in the future.

Co-authorship network of co-authors of Mitchell R. Vollger

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 0
3 4
4 0
5 15
6 10
7 23
8 2
9
Segmental duplications and their variation in a complete human genomebreakdown →
152
10 67
11
Epigenetic patterns in a complete human genomebreakdown →
146
12 9
13 1
14
Long-read human genome sequencing and its applicationsbreakdown →
589
15
HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long readsbreakdown →
384
16 81
17 51
18 16
19 95

About Mitchell R. Vollger

Mitchell R. Vollger is a scholar working on Genetics, Plant Science and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (12 papers), Genomics and Phylogenetic Studies (10 papers) and Genomic variations and chromosomal abnormalities (9 papers). The work is most often cited by research in Genetics (557 citations), Molecular Biology (1.2k citations) and Plant Science (612 citations). Mitchell R. Vollger has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Evan E. Eichler, Glennis A. Logsdon, Adam M. Phillippy, Sergey Koren, Arang Rhie, Sergey Nurk, Karen H. Miga, Brian P. Walenz, Philip C. Dishuck and David Porubský. Their work appears in journals such as Science, Nature Communications and Nature Biotechnology.

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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