Giulia C. Kennedy
- Genetics top 0.5%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 5%
- Cancer Research top 5%
- Co-authors
- William J. RutterRichard B. LanmanLyssa FriedmanMichael S. GermanKeith JonesJuan RosaíVirginia A. LiVolsiMartha A. Zeiger
- Topics
- Thyroid Cancer Diagnosis and Treatment (24 papers)Lung Cancer Diagnosis and Treatment (13 papers)Lung Cancer Treatments and Mutations (11 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Genetics
- Partner nations
- United StatesItalyFrance
In The Last Decade
Giulia C. Kennedy
76 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Genetics 2.2k
- Molecular Biology 2.0k
- Endocrinology, Diabetes and Metabolism 1.9k
- Surgery 1.1k
- Cancer Research 433
Countries citing papers authored by Giulia C. Kennedy
This map shows the geographic impact of Giulia C. 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 Giulia C. Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia C. Kennedy more than expected).
Fields of papers citing papers by Giulia C. Kennedy
This network shows the impact of papers produced by Giulia C. 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 Giulia C. Kennedy. The network helps show where Giulia C. Kennedy may publish in the future.
Co-authorship network of co-authors of Giulia C. Kennedy
This figure shows the co-authorship network connecting the top 25 collaborators of Giulia C. Kennedy. A scholar is included among the top collaborators of Giulia C. 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 Giulia C. Kennedy. Giulia C. 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 | 3 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 40 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 53 | |
| 8 | 27 | |
| 9 | 21 | |
| 10 | 119 | |
| 11 | Preoperative Diagnosis of Benign Thyroid Nodules with Indeterminate Cytologybreakdown → | 791 |
| 12 | 274 | |
| 13 | 36 | |
| 14 | A Robust Algorithm for Copy Number Detection Using High-Density Oligonucleotide Single Nucleotide Polymorphism Genotyping Arraysbreakdown → | 501 |
| 15 | 317 | |
| 16 | 174 | |
| 17 | 238 | |
| 18 | 83 | |
| 19 | 307 | |
| 20 | 57 |
About Giulia C. Kennedy
Giulia C. Kennedy is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Anatomy, having authored 79 papers that have together received 5.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (24 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Lung Cancer Treatments and Mutations (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Genetics (2.2k citations) and Molecular Biology (2.0k citations). Giulia C. Kennedy has collaborated with scholars based in United States, Italy and France. Frequent co-authors include William J. Rutter, Richard B. Lanman, Lyssa Friedman, Michael S. German, Keith Jones, Juan Rosaí, Virginia A. LiVolsi, Martha A. Zeiger, Richard T. Kloos and David L. Steward. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Genetics.
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.