Danielle Ndi
Impact in
-
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Influenza Virus Research Studies
-
- COVID-19 epidemiological studies
Papers in
-
- Influenza Virus Research Studies 3
- Pneumonia and Respiratory Infections 2
- Respiratory viral infections research 2
- Surgery 1
- Pancreatitis Pathology and Treatment 1
- Co-authors
- Tiffanie Markus (8 shared papers)William Schaffner (8 shared papers)H. Keipp Talbot (6 shared papers)Rameela Chandrasekhar (3 shared papers)David Dobrzynski (1 shared paper)Chantel Sloan (2 shared papers)Yuwei Zhu (3 shared papers)Julia Brennan (1 shared paper)
- Journals
- Infection Control and Hospital Epidemiology (2 papers)Clinical Infectious Diseases (2 papers)Open Forum Infectious Diseases (2 papers)The Journal of Infectious Diseases (2 papers)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- United States
In The Last Decade
Danielle Ndi
7 papers receiving 45 citations
Peers
Comparison fields: 5 of 19
- Epidemiology 26
- Modeling and Simulation 3
- Health 4
- Infectious Diseases 8
- Critical Care and Intensive Care Medicine 2
Countries citing papers authored by Danielle Ndi
This map shows the geographic impact of Danielle Ndi'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 Ndi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Ndi more than expected).
Fields of papers citing papers by Danielle Ndi
This network shows the impact of papers produced by Danielle Ndi. 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 Ndi. The network helps show where Danielle Ndi may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Ndi, 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 | 2020 | 13 | |
| 2 | 2020 | 10 | |
| 3 | 2020 | 7 | |
| 4 | 2016 | 6 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2018 | 0 |
About Danielle Ndi
Danielle Ndi is a scholar working on Epidemiology, Surgery, Public Health, Environmental and Occupational Health, Physiology and Physiology, having authored 9 papers that have together received 47 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Pneumonia and Respiratory Infections (2 papers), Respiratory viral infections research (2 papers), Neonatal and Maternal Infections (1 paper), Pancreatitis Pathology and Treatment (1 paper), Lysosomal Storage Disorders Research (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Epidemiology (26 citations), Modeling and Simulation (3 citations), Health (4 citations), Infectious Diseases (8 citations) and Critical Care and Intensive Care Medicine (2 citations). Danielle Ndi has collaborated with scholars based in United States. Frequent co-authors include Tiffanie Markus, William Schaffner, H. Keipp Talbot, Rameela Chandrasekhar, David Dobrzynski, Chantel Sloan, Yuwei Zhu, Julia Brennan, Mary‐Margaret A. Fill and Andrew J. Spieker. Their work appears in journals such as Infection Control and Hospital Epidemiology, Clinical Infectious Diseases, Open Forum Infectious Diseases, The Journal of Infectious Diseases and American Journal of Obstetrics and Gynecology.
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.