Lindsey Kelly
- Molecular Biology
- Cancer Research top 5%
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Marina N. NikiforovaYuri E. NikiforovSanja ĐačićYongli ShuaiKathleen CieplyRaja R. SeethalaSally E. CartyCraig Horbinski
- Topics
- Thyroid Cancer Diagnosis and Treatment (6 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)MicroRNA in disease regulation (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesUkraineUnited Kingdom
In The Last Decade
Lindsey Kelly
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 494
- Cancer Research 428
- Oncology 396
- Endocrinology, Diabetes and Metabolism 389
- Surgery 274
Countries citing papers authored by Lindsey Kelly
This map shows the geographic impact of Lindsey Kelly'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 Lindsey Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lindsey Kelly more than expected).
Fields of papers citing papers by Lindsey Kelly
This network shows the impact of papers produced by Lindsey Kelly. 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 Lindsey Kelly. The network helps show where Lindsey Kelly may publish in the future.
Co-authorship network of co-authors of Lindsey Kelly
This figure shows the co-authorship network connecting the top 25 collaborators of Lindsey Kelly. A scholar is included among the top collaborators of Lindsey Kelly 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 Lindsey Kelly. Lindsey Kelly 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 | 2 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 52 | |
| 8 | 195 | |
| 9 | 20 | |
| 10 | 202 | |
| 11 | 17 | |
| 12 | 43 | |
| 13 | 34 | |
| 14 | 197 | |
| 15 | 116 | |
| 16 | 69 | |
| 17 | 212 | |
| 18 | 122 | |
| 19 | The value of sentinel node mapping for staging melanoma. | 1 |
| 20 | Mutation of the mouse klotho gene leads to a syndrome resembling ageing | 25 |
About Lindsey Kelly
Lindsey Kelly is a scholar working on Structural Biology, Endocrinology, Diabetes and Metabolism and Rehabilitation, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (428 citations), Endocrinology, Diabetes and Metabolism (389 citations) and Genetics (190 citations). Lindsey Kelly has collaborated with scholars based in United States, Ukraine and United Kingdom. Frequent co-authors include Marina N. Nikiforova, Yuri E. Nikiforov, Sanja Đačić, Yongli Shuai, Kathleen Cieply, Raja R. Seethala, Sally E. Carty, Craig Horbinski, Viktoria Evdokimova and Michaele J. Armstrong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and JNCI Journal of the National Cancer Institute.
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.