Katie J. Lee

975 total citations
33 papers, 666 citations indexed

About

Katie J. Lee is a scholar working on Oncology, Cell Biology and Dermatology. According to data from OpenAlex, Katie J. Lee has authored 33 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 14 papers in Cell Biology and 11 papers in Dermatology. Recurrent topics in Katie J. Lee's work include Cutaneous Melanoma Detection and Management (18 papers), melanin and skin pigmentation (14 papers) and Skin Protection and Aging (9 papers). Katie J. Lee is often cited by papers focused on Cutaneous Melanoma Detection and Management (18 papers), melanin and skin pigmentation (14 papers) and Skin Protection and Aging (9 papers). Katie J. Lee collaborates with scholars based in Australia, United States and Germany. Katie J. Lee's co-authors include Katherine A. Barraclough, Christine E. Staatz, H. Peter Soyer, Troels K. Bergmann, Richard A. Sturm, Kasturee Jagirdar, Anna Finnane, Nicole M. Isbel, Scott B. Campbell and David L. Duffy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Endocrinology.

In The Last Decade

Katie J. Lee

32 papers receiving 656 citations

Author Peers

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

Author Last Decade Papers Cites
Katie J. Lee 246 210 140 120 114 33 666
Chi-Hung Cheng 99 0.4× 47 0.2× 269 1.9× 12 0.1× 57 0.5× 15 758
Constantijn J.M. Halkes 210 0.9× 25 0.1× 219 1.6× 30 0.3× 15 0.1× 60 1.2k
Ruoyun Tan 74 0.3× 50 0.2× 477 3.4× 10 0.1× 22 0.2× 41 879
F. Touraine 58 0.2× 22 0.1× 185 1.3× 34 0.3× 8 0.1× 22 610
Mai He 190 0.8× 8 0.0× 271 1.9× 158 1.3× 15 0.1× 82 1.0k
Christophe Baron 85 0.3× 264 1.3× 149 1.1× 66 0.6× 16 0.1× 39 857
Xiaopeng Yuan 41 0.2× 69 0.3× 253 1.8× 9 0.1× 14 0.1× 39 579
Tobias N. Cassel 269 1.1× 6 0.0× 639 4.6× 17 0.1× 59 0.5× 22 1.1k
W. Michael McDonnell 106 0.4× 10 0.0× 185 1.3× 69 0.6× 8 0.1× 34 731
Olga Millán 72 0.3× 482 2.3× 142 1.0× 93 0.8× 2 0.0× 46 852

Countries citing papers authored by Katie J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Katie J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Katie J. Lee. A scholar is included among the top collaborators of Katie J. 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 Katie J. Lee. Katie J. 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
1.
Lee, Katie J., Darren J. Smit, Brigid Betz‐Stablein, et al.. (2024). Mitochondrial Deletion4977 Abundance in Melanoma-Adjacent Skin. Journal of Investigative Dermatology. 145(6). 1527–1530.e6.
2.
Stark, Mitchell, Richard A. Sturm, Yan Pan, et al.. (2023). Assessing the genetic risk of nodular melanoma using a candidate gene approach. British Journal of Dermatology. 190(2). 199–206. 2 indexed citations
3.
Lee, Katie J., H. Peter Soyer, & Mitchell Stark. (2023). The Skin Molecular Ecosystem Holds the Key to Nevogenesis and Melanomagenesis. Journal of Investigative Dermatology. 144(3). 456–465. 3 indexed citations
4.
Huang, Nancy Ν., Katie J. Lee, & Mitchell Stark. (2022). Current Trends in Circulating Biomarkers for Melanoma Detection. Frontiers in Medicine. 9. 873728–873728. 19 indexed citations
5.
Duffy, David L., Darren J. Smit, Kasturee Jagirdar, et al.. (2020). Germline and somatic albinism variants in amelanotic/hypomelanotic melanoma: Increased carriage of TYR and OCA2 variants. PLoS ONE. 15(9). e0238529–e0238529. 12 indexed citations
6.
Lee, Katie J. & H. Peter Soyer. (2019). Future Developments in Teledermoscopy and Total Body Photography. SHILAP Revista de lepidopterología. 4 indexed citations
7.
Duffy, David L., Katie J. Lee, Kasturee Jagirdar, et al.. (2019). High naevus count and MC 1R red hair alleles contribute synergistically to increased melanoma risk. British Journal of Dermatology. 181(5). 1009–1016. 21 indexed citations
8.
McMeniman, Erin, David L. Duffy, Kasturee Jagirdar, et al.. (2019). The interplay of sun damage and genetic risk in Australian multiple and single primary melanoma cases and controls. British Journal of Dermatology. 183(2). 357–366. 20 indexed citations
10.
Lee, Katie J., Anna Finnane, & H. Peter Soyer. (2018). Recent trends in teledermatology and teledermoscopy. SHILAP Revista de lepidopterología. 27 indexed citations
11.
Berry, Elizabeth, Kasturee Jagirdar, Katie J. Lee, et al.. (2018). Iris pigmented lesions as a marker of cutaneous melanoma risk: an Australian case-control study. British Journal of Dermatology. 178(5). 1119–1127. 15 indexed citations
12.
Jagirdar, Kasturee, et al.. (2017). Skin Pigmentation Genetics for the Clinic. Dermatology. 233(1). 1–15. 31 indexed citations
13.
Duffy, David L., Katie J. Lee, Marco Ardigò, et al.. (2017). Classifying dermoscopic patterns of naevi in a case-control study of melanoma. PLoS ONE. 12(10). e0186647–e0186647. 13 indexed citations
14.
Barraclough, Katherine A., Christine E. Staatz, David W. Johnson, et al.. (2013). A Differential Impact of Mycophenolic Acid, Prednisolone, and Tacrolimus Exposure on sCD30 Levels in Adult Kidney Transplant Recipients. Therapeutic Drug Monitoring. 35(2). 240–245. 2 indexed citations
15.
Barraclough, Katherine A., Christine E. Staatz, David W. Johnson, et al.. (2012). Kidney transplant outcomes are related to tacrolimus, mycophenolic acid and prednisolone exposure in the first week. Transplant International. 25(11). 1182–1193. 37 indexed citations
16.
Bergmann, Troels K., Katherine A. Barraclough, Katie J. Lee, & Christine E. Staatz. (2012). Clinical Pharmacokinetics and Pharmacodynamics of Prednisolone and Prednisone in Solid Organ Transplantation. Clinical Pharmacokinetics. 51(11). 711–741. 87 indexed citations
17.
Barraclough, Katherine A., Nicole M. Isbel, Katie J. Lee, et al.. (2012). NR1I2 Polymorphisms Are Related to Tacrolimus Dose-Adjusted Exposure and BK Viremia in Adult Kidney Transplantation. Transplantation. 94(10). 1025–1032. 43 indexed citations
18.
Barraclough, Katherine A., Nicole M. Isbel, David W. Johnson, et al.. (2011). A limited sampling strategy for the simultaneous estimation of tacrolimus, mycophenolic acid and unbound prednisolone exposure in adult kidney transplant recipients. Nephrology. 17(3). 294–299. 18 indexed citations
19.
Barraclough, Katherine A., Nicole M. Isbel, Michael E. Franklin, et al.. (2010). Evaluation of Limited Sampling Strategies for Mycophenolic Acid After Mycophenolate Mofetil Intake in Adult Kidney Transplant Recipients. Therapeutic Drug Monitoring. 32(6). 723–733. 27 indexed citations
20.
Barraclough, Katherine A., Nicole M. Isbel, Carl M. J. Kirkpatrick, et al.. (2010). Evaluation of limited sampling methods for estimation of tacrolimus exposure in adult kidney transplant recipients. British Journal of Clinical Pharmacology. 71(2). 207–223. 45 indexed citations

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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