Edward J. Filardo
- Genetics top 0.1%
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Oncology top 2%
- Reproductive Medicine top 0.5%
- Co-authors
- Peter ThomasJeffrey A. QuinnA. Raymond FrackeltonKirby I. BlandYefei PangJing DongDavid A. ChereshC. T. Graeber
- Topics
- Estrogen and related hormone effects (30 papers)Receptor Mechanisms and Signaling (17 papers)Cell Adhesion Molecules Research (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Edward J. Filardo
46 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Genetics 5.0k
- Molecular Biology 3.1k
- Endocrinology, Diabetes and Metabolism 1.6k
- Oncology 1.2k
- Reproductive Medicine 930
Countries citing papers authored by Edward J. Filardo
This map shows the geographic impact of Edward J. Filardo'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 Edward J. Filardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Filardo more than expected).
Fields of papers citing papers by Edward J. Filardo
This network shows the impact of papers produced by Edward J. Filardo. 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 Edward J. Filardo. The network helps show where Edward J. Filardo may publish in the future.
Co-authorship network of co-authors of Edward J. Filardo
This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Filardo. A scholar is included among the top collaborators of Edward J. Filardo 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 Edward J. Filardo. Edward J. Filardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 35 | |
| 3 | 3 | |
| 4 | 187 | |
| 5 | 125 | |
| 6 | 92 | |
| 7 | 18 | |
| 8 | 104 | |
| 9 | 106 | |
| 10 | 131 | |
| 11 | 90 | |
| 12 | 90 | |
| 13 | 35 | |
| 14 | 315 | |
| 15 | Identity of an Estrogen Membrane Receptor Coupled to a G Protein in Human Breast Cancer Cellsbreakdown → | 1143 |
| 16 | 302 | |
| 17 | 40 | |
| 18 | 75 | |
| 19 | 13 | |
| 20 | 3 |
About Edward J. Filardo
Edward J. Filardo is a scholar working on Immunology and Allergy, Genetics and Behavioral Neuroscience, having authored 46 papers that have together received 7.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (30 papers), Receptor Mechanisms and Signaling (17 papers) and Cell Adhesion Molecules Research (13 papers). The work is most often cited by research in Genetics (5.0k citations), Behavioral Neuroscience (433 citations) and Reproductive Medicine (930 citations). Edward J. Filardo has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Peter Thomas, Jeffrey A. Quinn, A. Raymond Frackelton, Kirby I. Bland, Yefei Pang, Jing Dong, David A. Cheresh, C. T. Graeber, Shi‐Bin Cheng and Glen R. Nemerow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.