Danielle L. Ippolito
- Endocrine and Autonomic Systems top 10%
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies 7
- Gestational Diabetes Research and Management 3
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- Protein Kinase Regulation and GTPase Signaling 4
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- Preterm Birth and Chorioamnionitis 4
- Liver Disease Diagnosis and Treatment 4
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- Liver physiology and pathology 3
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- Neonatal and Maternal Infections 3
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- Thermoregulation and physiological responses 3
- Co-authors
- Jonathan D. StallingsJohn A. LewisNikki BollingerDeborah TinnemoreLee K. OpreskoH WileyCharles ChavkinPeter G. Napolitano
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsObstetrics and Gynecology
- Journals
- Journal of Biological Chemistry (3 papers)Neuron (1 paper)Journal of Neuroscience (2 papers)
- Partner nations
- United StatesRussiaSouth Africa
In The Last Decade
Danielle L. Ippolito
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 212
- Endocrine and Autonomic Systems 70
- Obstetrics and Gynecology 71
- Health, Toxicology and Mutagenesis 119
- Molecular Biology 510
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
The 25 scholars most cited alongside Danielle L. Ippolito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 17 | |
| 2 | 2017 | 3 | |
| 3 | 2017 | 1 | |
| 4 | 2016 | 22 | |
| 5 | 2015 | 37 | |
| 6 | 2014 | 7 | |
| 7 | 2014 | 35 | |
| 8 | 2014 | 52 | |
| 9 | 2014 | 50 | |
| 10 | 2014 | 30 | |
| 11 | 2014 | 25 | |
| 12 | 2014 | 5 | |
| 13 | 2013 | 8 | |
| 14 | 2012 | 28 | |
| 15 | 2011 | 8 | |
| 16 | 2010 | 29 | |
| 17 | 2010 | 12 | |
| 18 | 2005 | 22 | |
| 19 | 1997 | 17 | |
| 20 | 1996 | 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), Preterm Birth and Chorioamnionitis (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Liver physiology and pathology (3 papers), Neonatal and Maternal Infections (3 papers), Gestational Diabetes Research and Management (3 papers) and Thermoregulation and physiological responses (3 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.