Fred T. Lee

16.7k citations
206 papers · 11.2k indexed · 5 hit papers · h-index 53
Topics
Hepatocellular Carcinoma Treatment and Prognosis (66 papers)Ultrasound and Hyperthermia Applications (55 papers)Renal cell carcinoma treatment (46 papers)
Partner nations
United StatesItalySpain

In The Last Decade

Fred T. Lee

198 papers receiving 11.0k citations

Hit Papers

Image-guided Tumor Ablation: Standardization of Terminolo...2005202620122019200520112010200920212505007501000

Peers

Fred T. Lee
Comparison fields: 5 of 142
  • Hepatology 4.2k
  • Pulmonary and Respiratory Medicine 4.0k
  • Biomedical Engineering 3.2k
  • Radiology, Nuclear Medicine and Imaging 2.7k
  • Surgery 2.3k
Replace Damian E. Dupuy with:
Damian E. Dupuy United States
Luigi Solbiati Italy
Jens Ricke Germany
Hyunchul Rhim South Korea
Stephen B. Solomon United States
Tito Livraghi Italy
Christopher L. Brace United States
Steven S. Raman United States
Theo J. M. Ruers Netherlands
Maria Franca Meloni Italy
Fred T. Lee relative to Damian E. Dupuy United States Damian E. Dupuy's profile →
Citations per field
00.5×1.5×1.8×
Damian E. Dupuy · 1×
Citations per year

Countries citing papers authored by Fred T. Lee

Since Specialization
Citations

This map shows the geographic impact of Fred T. Lee'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 Fred T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred T. Lee more than expected).

Fields of papers citing papers by Fred T. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred T. Lee. 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 Fred T. Lee. The network helps show where Fred T. Lee may publish in the future.

Co-authorship network of co-authors of Fred T. Lee

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 3
5 2
6 9
7 2
8 18
9 41
10 19
11 11
12 9
13 3
14 42
15 3
16 57
17 9
18 55
19 6
20 3

About Fred T. Lee

Fred T. Lee is a scholar working on Hepatology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 206 papers that have together received 11.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (66 papers), Ultrasound and Hyperthermia Applications (55 papers) and Renal cell carcinoma treatment (46 papers). The work is most often cited by research in Hepatology (4.2k citations), Pulmonary and Respiratory Medicine (4.0k citations) and Radiology, Nuclear Medicine and Imaging (2.7k citations). Fred T. Lee has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Christopher L. Brace, J. Louis Hinshaw, Meghan G. Lubner, S. Nahum Goldberg, Lisa A. Sampson, David M. Mahvi, Thomas F. Warner, Timothy J. Ziemlewicz, Andrew S. Wright and Paul F. Laeseke. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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