E. H. Mercer
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 1%
- Genetics top 5%
- Developmental Neuroscience top 1%
- Co-authors
- M. S. C. BirbeckDavid J. AndersonDavid J. GerberEric R. KandelDong Feng ChenSusumu TonegawaMark MayfordCindy W. Tom
- Topics
- Dyeing and Modifying Textile Fibers (14 papers)Skin and Cellular Biology Research (11 papers)Silk-based biomaterials and applications (7 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
E. H. Mercer
82 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 2.0k
- Cellular and Molecular Neuroscience 1.4k
- Cell Biology 815
- Genetics 652
- Developmental Neuroscience 359
Countries citing papers authored by E. H. Mercer
This map shows the geographic impact of E. H. Mercer'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 E. H. Mercer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. H. Mercer more than expected).
Fields of papers citing papers by E. H. Mercer
This network shows the impact of papers produced by E. H. Mercer. 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 E. H. Mercer. The network helps show where E. H. Mercer may publish in the future.
Co-authorship network of co-authors of E. H. Mercer
This figure shows the co-authorship network connecting the top 25 collaborators of E. H. Mercer. A scholar is included among the top collaborators of E. H. Mercer 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 E. H. Mercer. E. H. Mercer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 169 | |
| 2 | Subregion- and Cell Type–Restricted Gene Knockout in Mouse Brainbreakdown → | 992 |
| 3 | 89 | |
| 4 | 239 | |
| 5 | 68 | |
| 6 | 19 | |
| 7 | 24 | |
| 8 | 106 | |
| 9 | The ultrastructure of the tegument of Moniliformis dubius (Acanthocephala). | 31 |
| 10 | An Electron Microscope Study of NK Lymphoma Cells and the Changes Produced by Two Cytostatic Drugs | 5 |
| 11 | 86 | |
| 12 | 13 | |
| 13 | 72 | |
| 14 | 77 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | The Biosynthesis of Fibers | 3 |
| 20 | 10 |
About E. H. Mercer
E. H. Mercer is a scholar working on Structural Biology, Building and Construction and Cell Biology, having authored 84 papers that have together received 4.8k indexed citations. Recurring topics across this work include Dyeing and Modifying Textile Fibers (14 papers), Skin and Cellular Biology Research (11 papers) and Silk-based biomaterials and applications (7 papers). The work is most often cited by research in Developmental Neuroscience (359 citations), Cellular and Molecular Neuroscience (1.4k citations) and Cell Biology (815 citations). E. H. Mercer has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include M. S. C. Birbeck, David J. Anderson, David J. Gerber, Eric R. Kandel, Dong Feng Chen, Susumu Tonegawa, Mark Mayford, Cindy W. Tom, Joe Z. Tsien and Amita Sehgal. 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.