Danielle Ndi

594 total citations
9 papers, 44 citations indexed

About

Danielle Ndi is a scholar working on Epidemiology, Emergency Medicine and Infectious Diseases. According to data from OpenAlex, Danielle Ndi has authored 9 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 3 papers in Emergency Medicine and 2 papers in Infectious Diseases. Recurrent topics in Danielle Ndi's work include Respiratory viral infections research (6 papers), Pneumonia and Respiratory Infections (4 papers) and Influenza Virus Research Studies (3 papers). Danielle Ndi is often cited by papers focused on Respiratory viral infections research (6 papers), Pneumonia and Respiratory Infections (4 papers) and Influenza Virus Research Studies (3 papers). Danielle Ndi collaborates with scholars based in United States. Danielle Ndi's co-authors include Tiffanie Markus, William Schaffner, H. Keipp Talbot, Yuwei Zhu, Rameela Raman, David Dobrzynski, Ed Mitchel, Julia Brennan, Andrew Wiese and Edward F. Mitchel and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases and American Journal of Obstetrics and Gynecology.

In The Last Decade

Danielle Ndi

7 papers receiving 42 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Danielle Ndi United States	5	28	15	9	8	6	9	44
Ayşin Kılınç Toker Türkiye	5	29 1.0×	24 1.6×	6 0.7×	11 1.4×	6 1.0×	18	66
Matt Laubscher South Africa	5	50 1.8×	22 1.5×	6 0.7×	3 0.4×	3 0.5×	7	64
Wagdy Amin Egypt	6	28 1.0×	39 2.6×	17 1.9×	4 0.5×	4 0.7×	20	66
Usma Mehmood Pakistan	4	12 0.4×	21 1.4×	4 0.4×	3 0.4×	2 0.3×	5	43
Anum Rahim Pakistan	5	9 0.3×	21 1.4×	3 0.3×	7 0.9×	3 0.5×	15	61
Juliane Ankert Germany	5	17 0.6×	19 1.3×	3 0.3×	5 0.6×		12	46
Simon Xiwen Qin United Kingdom	5	8 0.3×	44 2.9×	22 2.4×	9 1.1×	3 0.5×	6	67
María Tereza da Costa Oliveira Brazil	3	17 0.6×	22 1.5×	7 0.8×	8 1.0×		8	44
Paola Marchisio Italy	4	8 0.3×	36 2.4×	5 0.6×	11 1.4×	3 0.5×	5	55
Van Phu Tran Vietnam	5	9 0.3×	35 2.3×	3 0.3×	9 1.1×	2 0.3×	8	63

Countries citing papers authored by Danielle Ndi

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Ndi

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Ndi. A scholar is included among the top collaborators of Danielle Ndi 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 Ndi. Danielle Ndi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Talbot, H. Keipp, Yuwei Zhu, Danielle Ndi, et al.. (2025). Respiratory syncytial virus: an under-recognized healthcare-associated infection. Infection Control and Hospital Epidemiology. 46(6). 611–615. 1 indexed citations

Thomas, Christine, Rameela Raman, William Schaffner, et al.. (2024). Respiratory Syncytial Virus Hospitalizations Associated With Social Vulnerability by Census Tract: An Opportunity for Intervention?. Open Forum Infectious Diseases. 11(5). ofae184–ofae184. 5 indexed citations

Talbot, H. Keipp, Yuwei Zhu, Danielle Ndi, et al.. (2023). Traditional definition of healthcare-associated influenza underestimates cases associated with other healthcare exposures in a population-based surveillance system. Infection Control and Hospital Epidemiology. 44(11). 1816–1822. 1 indexed citations

Wiese, Andrew, Ed Mitchel, Danielle Ndi, et al.. (2023). Risk of Acute Myocardial Infarction Among Patients With Laboratory-Confirmed Invasive Pneumococcal Disease: A Self-Controlled Case Series Study. Clinical Infectious Diseases. 76(12). 2171–2177. 4 indexed citations

Vandekar, Simon, Andrew J. Spieker, Herdi Rahman, et al.. (2020). Epidemiological Trends of Racial Differences in Early- and Late-onset Group B Streptococcus Disease in Tennessee. Clinical Infectious Diseases. 73(11). e3634–e3640. 6 indexed citations

Raman, Rameela, Julia Brennan, Danielle Ndi, et al.. (2020). Marked Reduction of Socioeconomic and Racial Disparities in Invasive Pneumococcal Disease Associated With Conjugate Pneumococcal Vaccines. The Journal of Infectious Diseases. 223(7). 1250–1259. 8 indexed citations

Dobrzynski, David, Danielle Ndi, Yuwei Zhu, et al.. (2020). Hospital Readmissions After Laboratory-Confirmed Influenza Hospitalization. The Journal of Infectious Diseases. 222(4). 583–589. 13 indexed citations

Halasa, Natasha, et al.. (2018). Comparison of early-onset vs. late-onset GBS disease. American Journal of Obstetrics and Gynecology. 219(6). 648–648.

Chandrasekhar, Rameela, Chantel Sloan, Edward F. Mitchel, et al.. (2016). Social Determinants of Influenza Hospitalization in the United States. Open Forum Infectious Diseases. 3(suppl_1). 6 indexed citations

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.

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