Connie Lee

27 total papers · 661 total citations
13 papers, 354 citations indexed

About

Connie Lee is a scholar working on Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Connie Lee has authored 13 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Connie Lee's work include Lymphoma Diagnosis and Treatment (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Prostate Cancer Treatment and Research (2 papers). Connie Lee is often cited by papers focused on Lymphoma Diagnosis and Treatment (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Prostate Cancer Treatment and Research (2 papers). Connie Lee collaborates with scholars based in United States, Canada and China. Connie Lee's co-authors include Cynthia C. Gilmour, Andrew M. Graham, Auayporn Nademanee, Julie Lisano, Craig H. Moskowitz, Andy I. Chen, Simonetta Viviani, John Sweetenham, Jan Walewski and Tamás Masszi and has published in prestigious journals such as The Lancet, Circulation and Journal of Clinical Oncology.

In The Last Decade

Connie Lee

11 papers receiving 347 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Connie Lee	147	113	83	64	40	13	354
Francesca Giunta	193 1.3×	88 0.8×	143 1.7×	29 0.5×	21 0.5×	7	307
R Schön	38 0.3×	9 0.1×	56 0.7×	13 0.2×	34 0.8×	25	369
Haochen Wang	22 0.1×	24 0.2×	27 0.3×	86 1.3×	11 0.3×	32	298
David Marrack	11 0.1×	48 0.4×	18 0.2×	61 1.0×	13 0.3×	23	382
Serhat Tokgöz	10 0.1×	149 1.3×	119 1.4×	39 0.6×	37 0.9×	13	394
Amiram Sheffet	51 0.3×	17 0.2×	78 0.9×	98 1.5×	66 1.6×	16	373
Yu-Kai Cheng	69 0.5×	29 0.3×	103 1.2×	38 0.6×	8 0.2×	16	370
G Hill	11 0.1×	58 0.5×	110 1.3×	28 0.4×	14 0.3×	16	350
Hirofumi HIGASHI	36 0.2×	42 0.4×	58 0.7×	82 1.3×	3 0.1×	22	395
Suraj Khànal	83 0.6×	9 0.1×	7 0.1×	49 0.8×	83 2.1×	27	322

Countries citing papers authored by Connie Lee

Since Specialization

Citations

This map shows the geographic impact of Connie 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 Connie Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connie Lee more than expected).

Fields of papers citing papers by Connie Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Lee

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

All Works

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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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