David J. Pennisi
- Molecular Biology top 10%
- Genetics top 10%
- Surgery
- Immunology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Takashi MikawaPeter KoopmanSusan J. MonkleyStephen J. DelaneyBrandon J. WainwrightJeffrey H. ChristiansenGeorge E.O. MuscatMelissa H. Little
- Topics
- Congenital heart defects research (9 papers)Renal and related cancers (7 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David J. Pennisi
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.1k
- Genetics 296
- Surgery 237
- Immunology 218
- Pulmonary and Respiratory Medicine 177
Countries citing papers authored by David J. Pennisi
This map shows the geographic impact of David J. Pennisi'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 David J. Pennisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Pennisi more than expected).
Fields of papers citing papers by David J. Pennisi
This network shows the impact of papers produced by David J. Pennisi. 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 David J. Pennisi. The network helps show where David J. Pennisi may publish in the future.
Co-authorship network of co-authors of David J. Pennisi
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Pennisi. A scholar is included among the top collaborators of David J. Pennisi 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 David J. Pennisi. David J. Pennisi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 14 | |
| 3 | 10 | |
| 4 | 21 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | Distinct sites of renal fibrosis in Crim1 mutant mice arise from multiple cellular origins | 2 |
| 8 | Crim1 has an essential role in glycogen trophoblast cell and sinusoidal-trophoblast giant cell development in the placenta | 1 |
| 9 | 14 | |
| 10 | 16 | |
| 11 | 79 | |
| 12 | 46 | |
| 13 | Crim1(KST264/KST264) mice display a disruption of the Crim1 gene resulting in perinatal lethality with defects in multiple organ systems | 2 |
| 14 | 46 | |
| 15 | 87 | |
| 16 | 61 | |
| 17 | 37 | |
| 18 | Mice null for Sox18 are viable and display a mild coat defect | 3 |
| 19 | 187 | |
| 20 | 156 |
About David J. Pennisi
David J. Pennisi is a scholar working on Nephrology, Genetics and Obstetrics and Gynecology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Congenital heart defects research (9 papers), Renal and related cancers (7 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Obstetrics and Gynecology (104 citations) and Urology (76 citations). David J. Pennisi has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Takashi Mikawa, Peter Koopman, Susan J. Monkley, Stephen J. Delaney, Brandon J. Wainwright, Jeffrey H. Christiansen, George E.O. Muscat, Melissa H. Little, Lorine Wilkinson and Brett Hosking. Their work appears in journals such as Nature Genetics, Molecular and Cellular Biology and Development.
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.