Michael C. Ellis
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Cell Biology top 5%
- Genetics top 5%
- Co-authors
- Gerald M. RubinKevin ColemanCorey S. GoodmanNipam H. PatelStephen J. PooleThomas B. KornbergEnrique Martı́n-BlancoElizabeth O’Neill
- Topics
- Neurobiology and Insect Physiology Research (7 papers)Developmental Biology and Gene Regulation (5 papers)Animal Genetics and Reproduction (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Michael C. Ellis
24 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 719
- Physiology 519
- Cell Biology 417
- Genetics 372
Countries citing papers authored by Michael C. Ellis
This map shows the geographic impact of Michael C. Ellis'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 C. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Ellis more than expected).
Fields of papers citing papers by Michael C. Ellis
This network shows the impact of papers produced by Michael C. Ellis. 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 C. Ellis. The network helps show where Michael C. Ellis may publish in the future.
Co-authorship network of co-authors of Michael C. Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Ellis. A scholar is included among the top collaborators of Michael C. Ellis 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 C. Ellis. Michael C. Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 41 | |
| 3 | aph-1 and pen-2 Are Required for Notch Pathway Signaling, γ-Secretase Cleavage of βAPP, and Presenilin Protein Accumulationbreakdown → | 655 |
| 4 | 21 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 37 | |
| 8 | 14 | |
| 9 | 80 | |
| 10 | 42 | |
| 11 | 200 | |
| 12 | 16 | |
| 13 | Expression of engrailed proteins in arthropods, annelids, and chordatesbreakdown → | 903 |
| 14 | 202 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 33 | |
| 20 | 8 |
About Michael C. Ellis
Michael C. Ellis is a scholar working on Aging, Cellular and Molecular Neuroscience and Instrumentation, having authored 24 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Developmental Biology and Gene Regulation (5 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Aging (109 citations), Cellular and Molecular Neuroscience (719 citations) and Cell Biology (417 citations). Michael C. Ellis has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Gerald M. Rubin, Kevin Coleman, Corey S. Goodman, Nipam H. Patel, Stephen J. Poole, Thomas B. Kornberg, Enrique Martı́n-Blanco, Elizabeth O’Neill, Kevin Moses and David A. Ruddy. Their work appears in journals such as Nature, 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.