Jacqueline Kennedy
- Immunology top 2%
- Oncology top 5%
- Molecular Biology
- Immunology and Allergy top 5%
- Hematology top 10%
- Co-authors
- Albert ZlotnikDale I. GodfreyToshio SudaNeal G. CopelandNancy A. JenkinsPeter MombaertsSusumu TonegawaGregory S. Kelner
- Topics
- Immune Cell Function and Interaction (5 papers)T-cell and B-cell Immunology (3 papers)Neonatal Respiratory Health Research (2 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Jacqueline Kennedy
7 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 1.3k
- Oncology 609
- Molecular Biology 431
- Immunology and Allergy 137
- Hematology 95
Countries citing papers authored by Jacqueline Kennedy
This map shows the geographic impact of Jacqueline Kennedy'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 Jacqueline Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline Kennedy more than expected).
Fields of papers citing papers by Jacqueline Kennedy
This network shows the impact of papers produced by Jacqueline Kennedy. 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 Jacqueline Kennedy. The network helps show where Jacqueline Kennedy may publish in the future.
Co-authorship network of co-authors of Jacqueline Kennedy
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Kennedy. A scholar is included among the top collaborators of Jacqueline Kennedy 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 Jacqueline Kennedy. Jacqueline Kennedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pillars article: a developmental pathway involving four phenotypically and functionally distinct subsets of CD3-CD4-CD8- triple-negative adult mouse thymocytes defined by CD44 and CD25 expression. J. Immunol. 1993. 150: 4244-4252. | 3 |
| 2 | 68 | |
| 3 | Lymphotactin: a Cytokine that Represents a New Class of Chemokinebreakdown → | 546 |
| 4 | 278 | |
| 5 | 61 | |
| 6 | A developmental pathway involving four phenotypically and functionally distinct subsets of CD3-CD4-CD8- triple-negative adult mouse thymocytes defined by CD44 and CD25 expressionbreakdown → | 657 |
| 7 | 60 |
About Jacqueline Kennedy
Jacqueline Kennedy is a scholar working on Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Immunology (1.3k citations), Immunology and Allergy (137 citations) and Oncology (609 citations). Jacqueline Kennedy has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Albert Zlotnik, Dale I. Godfrey, Toshio Suda, Neal G. Copeland, Nancy A. Jenkins, Peter Mombaerts, Susumu Tonegawa, Gregory S. Kelner, David A. Largaespada and Thomas J. Schall. Their work appears in journals such as Science, The Journal of Immunology and Journal of Leukocyte Biology.
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.