Danielle L. Ippolito
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Public Health, Environmental and Occupational Health top 10%
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Jonathan D. StallingsJohn A. LewisNikki BollingerDeborah TinnemoreLee K. OpreskoH WileyCharles ChavkinPeter G. Napolitano
- Topics
- Pregnancy and preeclampsia studies (7 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)Preterm Birth and Chorioamnionitis (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsObstetrics and Gynecology
- Partner nations
- United StatesRussiaSouth Africa
In The Last Decade
Danielle L. Ippolito
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 510
- Cellular and Molecular Neuroscience 212
- Physiology 153
- Public Health, Environmental and Occupational Health 142
- Health, Toxicology and Mutagenesis 119
Countries citing papers authored by Danielle L. Ippolito
This map shows the geographic impact of Danielle L. Ippolito'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 Danielle L. Ippolito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle L. Ippolito more than expected).
Fields of papers citing papers by Danielle L. Ippolito
This network shows the impact of papers produced by Danielle L. Ippolito. 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 Danielle L. Ippolito. The network helps show where Danielle L. Ippolito may publish in the future.
Co-authorship network of co-authors of Danielle L. Ippolito
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle L. Ippolito. A scholar is included among the top collaborators of Danielle L. Ippolito 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 Danielle L. Ippolito. Danielle L. Ippolito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 37 | |
| 6 | 7 | |
| 7 | 35 | |
| 8 | 52 | |
| 9 | 50 | |
| 10 | 30 | |
| 11 | 25 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 28 | |
| 15 | 8 | |
| 16 | 29 | |
| 17 | 12 | |
| 18 | 22 | |
| 19 | 17 | |
| 20 | 55 |
About Danielle L. Ippolito
Danielle L. Ippolito is a scholar working on Obstetrics and Gynecology, Cancer Research and Hepatology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Preterm Birth and Chorioamnionitis (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (212 citations), Endocrine and Autonomic Systems (70 citations) and Obstetrics and Gynecology (71 citations). Danielle L. Ippolito has collaborated with scholars based in United States, Russia and South Africa. Frequent co-authors include Jonathan D. Stallings, John A. Lewis, Nikki Bollinger, Deborah Tinnemore, Lee K. Opresko, H Wiley, Charles Chavkin, Peter G. Napolitano, Mohamed Diwan M. AbdulHameed and Anders Wallqvist. Their work appears in journals such as Journal of Biological Chemistry, Neuron 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.