Joseph M. Replogle
- Molecular Biology top 5%
- Immunology top 5%
- Genetics top 5%
- Rheumatology top 5%
- Neurology top 5%
- Co-authors
- Jonathan S. WeissmanLuke A. GilbertMax A. HorlbeckThomas M. NormanPhilip L. De JagerAngela N. PogsonJeffrey A. HussmannMarco Jost
- Topics
- CRISPR and Genetic Engineering (9 papers)Single-cell and spatial transcriptomics (5 papers)Advanced biosensing and bioanalysis techniques (4 papers)
- Cited by
- AgingNeurologyImmunology
- Partner nations
- United StatesAustriaLebanon
In The Last Decade
Joseph M. Replogle
24 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 2.0k
- Immunology 675
- Genetics 520
- Rheumatology 329
- Neurology 273
Countries citing papers authored by Joseph M. Replogle
This map shows the geographic impact of Joseph M. Replogle'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 Joseph M. Replogle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph M. Replogle more than expected).
Fields of papers citing papers by Joseph M. Replogle
This network shows the impact of papers produced by Joseph M. Replogle. 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 Joseph M. Replogle. The network helps show where Joseph M. Replogle may publish in the future.
Co-authorship network of co-authors of Joseph M. Replogle
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Replogle. A scholar is included among the top collaborators of Joseph M. Replogle 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 Joseph M. Replogle. Joseph M. Replogle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 87 | |
| 5 | 52 | |
| 6 | Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seqbreakdown → | 253 |
| 7 | 18 | |
| 8 | 155 | |
| 9 | Genome-wide programmable transcriptional memory by CRISPR-based epigenome editingbreakdown → | 433 |
| 10 | 229 | |
| 11 | 96 | |
| 12 | 156 | |
| 13 | 97 | |
| 14 | 276 | |
| 15 | Genetic association analyses implicate aberrant regulation of innate and adaptive immunity genes in the pathogenesis of systemic lupus erythematosusbreakdown → | 600 |
| 16 | 114 | |
| 17 | 3 | |
| 18 | 81 | |
| 19 | 108 | |
| 20 | 73 |
About Joseph M. Replogle
Joseph M. Replogle is a scholar working on Neurology, Immunology and Molecular Biology, having authored 24 papers that have together received 3.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Single-cell and spatial transcriptomics (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Aging (118 citations), Neurology (273 citations) and Immunology (675 citations). Joseph M. Replogle has collaborated with scholars based in United States, Austria and Lebanon. Frequent co-authors include Jonathan S. Weissman, Luke A. Gilbert, Max A. Horlbeck, Thomas M. Norman, Philip L. De Jager, Angela N. Pogson, Jeffrey A. Hussmann, Marco Jost, Albert Xu and J. Zachery Cogan. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.