Jennifer C. Nelson
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Nathan D. WongJ. Jeffrey CarrRobert DetranoMichael F. McNitt‐GrayLisa A. JacksonDiane E. BildO. Dale WilliamsDavid R. Jacobs
- Topics
- Influenza Virus Research Studies (10 papers)Vaccine Coverage and Hesitancy (5 papers)Respiratory viral infections research (5 papers)
- Partner nations
- United StatesArgentinaNew Zealand
In The Last Decade
Jennifer C. Nelson
34 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Epidemiology 794
- Cardiology and Cardiovascular Medicine 726
- Radiology, Nuclear Medicine and Imaging 605
- Surgery 279
- Pulmonary and Respiratory Medicine 253
Countries citing papers authored by Jennifer C. Nelson
This map shows the geographic impact of Jennifer C. Nelson'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 Jennifer C. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer C. Nelson more than expected).
Fields of papers citing papers by Jennifer C. Nelson
This network shows the impact of papers produced by Jennifer C. Nelson. 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 Jennifer C. Nelson. The network helps show where Jennifer C. Nelson may publish in the future.
Co-authorship network of co-authors of Jennifer C. Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer C. Nelson. A scholar is included among the top collaborators of Jennifer C. Nelson 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 Jennifer C. Nelson. Jennifer C. Nelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 37 | |
| 12 | 34 | |
| 13 | 10 | |
| 14 | 55 | |
| 15 | 122 | |
| 16 | 135 | |
| 17 | 180 | |
| 18 | 213 | |
| 19 | 241 | |
| 20 | 70 |
About Jennifer C. Nelson
Jennifer C. Nelson is a scholar working on Health, Statistics and Probability and Obstetrics and Gynecology, having authored 38 papers that have together received 2.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Vaccine Coverage and Hesitancy (5 papers) and Respiratory viral infections research (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (726 citations), Radiology, Nuclear Medicine and Imaging (605 citations) and Epidemiology (794 citations). Jennifer C. Nelson has collaborated with scholars based in United States, Argentina and New Zealand. Frequent co-authors include Nathan D. Wong, J. Jeffrey Carr, Robert Detrano, Michael F. McNitt‐Gray, Lisa A. Jackson, Diane E. Bild, O. Dale Williams, David R. Jacobs, Yadon Arad and Michael L. Jackson. Their work appears in journals such as The Lancet, PEDIATRICS and American Journal of Epidemiology.
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.