Glennis A. Logsdon
- Molecular Biology top 5%
- Plant Science top 2%
- Genetics top 5%
- Cell Biology top 5%
- Cancer Research top 10%
- Co-authors
- Evan E. EichlerMitchell R. VollgerAdam M. PhillippySergey KorenArang RhieSergey NurkBrian P. WalenzKaren H. Miga
- Topics
- Chromosomal and Genetic Variations (25 papers)Genomics and Chromatin Dynamics (12 papers)Genomics and Phylogenetic Studies (10 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Glennis A. Logsdon
26 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.6k
- Plant Science 970
- Genetics 538
- Cell Biology 219
- Cancer Research 162
Countries citing papers authored by Glennis A. Logsdon
This map shows the geographic impact of Glennis A. Logsdon'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 Glennis A. Logsdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glennis A. Logsdon more than expected).
Fields of papers citing papers by Glennis A. Logsdon
This network shows the impact of papers produced by Glennis A. Logsdon. 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 Glennis A. Logsdon. The network helps show where Glennis A. Logsdon may publish in the future.
Co-authorship network of co-authors of Glennis A. Logsdon
This figure shows the co-authorship network connecting the top 25 collaborators of Glennis A. Logsdon. A scholar is included among the top collaborators of Glennis A. Logsdon 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 Glennis A. Logsdon. Glennis A. Logsdon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | The variation and evolution of complete human centromeresbreakdown → | 67 |
| 5 | 14 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | Telomere-to-telomere assembly of diploid chromosomes with Verkkobreakdown → | 177 |
| 9 | 4 | |
| 10 | 54 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 5 | |
| 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 | 77 | |
| 18 | 16 | |
| 19 | 7 | |
| 20 | 63 |
About Glennis A. Logsdon
Glennis A. Logsdon is a scholar working on Plant Science, Molecular Biology and Genetics, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (25 papers), Genomics and Chromatin Dynamics (12 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Plant Science (970 citations), Molecular Biology (1.6k citations) and Genetics (538 citations). Glennis A. Logsdon has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Evan E. Eichler, Mitchell R. Vollger, Adam M. Phillippy, Sergey Koren, Arang Rhie, Sergey Nurk, Brian P. Walenz, Karen H. Miga, Ben E. Black and David Porubský. 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.