Michael Segel
- Molecular Biology top 5%
- Neurology top 0.5%
- Surgery top 2%
- Immunology top 5%
- Genetics top 2%
- Co-authors
- Mads GürtlerFelicia W. PagliucaQuinn P. PetersonJeffrey R. MillmanDale L. GreinerDouglas A. MeltonRobin J.M. FranklinAdam M. H. Young
- Topics
- CRISPR and Genetic Engineering (4 papers)Asthma and respiratory diseases (4 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Michael Segel
26 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.9k
- Neurology 1.4k
- Surgery 1.3k
- Immunology 876
- Genetics 832
Countries citing papers authored by Michael Segel
This map shows the geographic impact of Michael Segel'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 Michael Segel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Segel more than expected).
Fields of papers citing papers by Michael Segel
This network shows the impact of papers produced by Michael Segel. 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 Michael Segel. The network helps show where Michael Segel may publish in the future.
Co-authorship network of co-authors of Michael Segel
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Segel. A scholar is included among the top collaborators of Michael Segel 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 Michael Segel. Michael Segel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | Mammalian retrovirus-like protein PEG10 packages its own mRNA and can be pseudotyped for mRNA deliverybreakdown → | 289 |
| 4 | 18 | |
| 5 | 21 | |
| 6 | 5 | |
| 7 | Diverse enzymatic activities mediate antiviral immunity in prokaryotesbreakdown → | 342 |
| 8 | 2 | |
| 9 | 294 | |
| 10 | Niche stiffness underlies the ageing of central nervous system progenitor cellsbreakdown → | 342 |
| 11 | 78 | |
| 12 | Single-Cell RNA Sequencing of Microglia throughout the Mouse Lifespan and in the Injured Brain Reveals Complex Cell-State Changesbreakdown → | 1359 |
| 13 | 2 | |
| 14 | 137 | |
| 15 | 33 | |
| 16 | 14 | |
| 17 | Generation of Functional Human Pancreatic β Cells In Vitrobreakdown → | 1471 |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 12 |
About Michael Segel
Michael Segel is a scholar working on Developmental Neuroscience, Neurology and Complementary and alternative medicine, having authored 26 papers that have together received 4.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Asthma and respiratory diseases (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Neurology (1.4k citations), Developmental Neuroscience (508 citations) and Biological Psychiatry (164 citations). Michael Segel has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Mads Gürtler, Felicia W. Pagliuca, Quinn P. Peterson, Jeffrey R. Millman, Dale L. Greiner, Douglas A. Melton, Robin J.M. Franklin, Adam M. H. Young, Kevin J. Chalut and Steven A. McCarroll. 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.