Margaret C. Green
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Cell Biology top 10%
- Neurology top 10%
- Co-authors
- Richard L. SidmanStanley H. AppelThomas C. MayerCatherine A. AzarThomas H. MarenOmar H. PivettaEarl L. GreenNorman J. Kleiman
- Topics
- Pluripotent Stem Cells Research (3 papers)Hair Growth and Disorders (2 papers)Skin and Cellular Biology Research (2 papers)
- Journals
- ScienceDevelopmentGenetics
- Partner nations
- United States
In The Last Decade
Margaret C. Green
24 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 813
- Cellular and Molecular Neuroscience 427
- Genetics 255
- Cell Biology 169
- Neurology 130
Countries citing papers authored by Margaret C. Green
This map shows the geographic impact of Margaret C. Green'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 Margaret C. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret C. Green more than expected).
Fields of papers citing papers by Margaret C. Green
This network shows the impact of papers produced by Margaret C. Green. 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 Margaret C. Green. The network helps show where Margaret C. Green may publish in the future.
Co-authorship network of co-authors of Margaret C. Green
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret C. Green. A scholar is included among the top collaborators of Margaret C. Green 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 Margaret C. Green. Margaret C. Green 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 | Handbook on genetically standardized jax mice | 125 |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 24 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 40 | |
| 11 | 29 | |
| 12 | 55 | |
| 13 | 125 | |
| 14 | 54 | |
| 15 | Catalog of the Neurological Mutants of the Mousebreakdown → | 425 |
| 16 | 10 | |
| 17 | 124 | |
| 18 | 15 | |
| 19 | 27 | |
| 20 | A Rapid Method for Clearing and Staining Specimens for the Demonstration of Bone | 51 |
About Margaret C. Green
Margaret C. Green is a scholar working on Transplantation, Urology and Clinical Biochemistry, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Hair Growth and Disorders (2 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (427 citations), Developmental Neuroscience (92 citations) and Neurology (130 citations). Margaret C. Green has collaborated with scholars based in United States. Frequent co-authors include Richard L. Sidman, Stanley H. Appel, Thomas C. Mayer, Catherine A. Azar, Thomas H. Maren, Omar H. Pivetta, Earl L. Green, Norman J. Kleiman, Cynthia Miller and PRISCILLA W. LANE. Their work appears in journals such as Science, Development and Genetics.
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.