Mee Y. Bartee

1.3k total citations · 1 hit paper
17 papers, 1.0k citations indexed

About

Mee Y. Bartee is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Mee Y. Bartee has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Mee Y. Bartee's work include Virus-based gene therapy research (11 papers), CAR-T cell therapy research (6 papers) and Drug Transport and Resistance Mechanisms (4 papers). Mee Y. Bartee is often cited by papers focused on Virus-based gene therapy research (11 papers), CAR-T cell therapy research (6 papers) and Drug Transport and Resistance Mechanisms (4 papers). Mee Y. Bartee collaborates with scholars based in United States, Norway and France. Mee Y. Bartee's co-authors include Svetlana Lutsenko, Natalie Barnes, Oleg Y. Dmitriev, Eric Bartee, Martina Ralle, Xue‐Zhong Yu, Bjarne Bogen, Vesna Zuzel, Vladimir Ustiyan and Ann L. Hubbard and has published in prestigious journals such as Physiological Reviews, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mee Y. Bartee

15 papers receiving 999 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Function and Regulation of Human Copper-Transporting ATPases

2007 665 citations Svetlana Lutsenko, Natalie Barnes et al. Physiological Reviews profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mee Y. Bartee United States	9	686	417	360	237	168	17	1.0k
Ruslan Tsivkovskii United States	13	741 1.1×	405 1.0×	355 1.0×	488 2.1×	147 0.9×	15	1.2k
Aiko Hasegawa Japan	11	490 0.7×	129 0.3×	190 0.5×	291 1.2×	77 0.5×	18	920
Susan C. Low United States	15	412 0.6×	99 0.2×	85 0.2×	754 3.2×	266 1.6×	29	1.6k
Fugui Chai Australia	7	284 0.4×	112 0.3×	134 0.4×	486 2.1×	41 0.2×	9	829
Chenghua Li China	13	226 0.3×	196 0.5×	101 0.3×	366 1.5×	27 0.2×	36	826
Francesca Pane Italy	14	234 0.3×	152 0.4×	80 0.2×	218 0.9×	109 0.6×	16	612
Keith A. Koch United States	15	209 0.3×	115 0.3×	95 0.3×	611 2.6×	37 0.2×	21	908
Lien H. Ho Australia	11	374 0.5×	138 0.3×	192 0.5×	430 1.8×	62 0.4×	12	1.3k
Shou-Mei T. Chang United States	9	245 0.4×	76 0.2×	119 0.3×	144 0.6×	79 0.5×	12	447
Ed Luk United States	18	222 0.3×	50 0.1×	120 0.3×	1.4k 5.7×	39 0.2×	25	1.7k

Countries citing papers authored by Mee Y. Bartee

Since Specialization

Citations

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

Fields of papers citing papers by Mee Y. Bartee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mee Y. Bartee. 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 Mee Y. Bartee. The network helps show where Mee Y. Bartee may publish in the future.

Co-authorship network of co-authors of Mee Y. Bartee

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Bartee, Mee Y., et al.. (2024). IL-12-mediated toxicity from localized oncolytic virotherapy can be reduced using systemic TNF blockade. SHILAP Revista de lepidopterología. 32(3). 200866–200866.

Bartee, Mee Y., et al.. (2023). Defects in intratumoral arginine metabolism attenuate the replication and therapeutic efficacy of oncolytic myxoma virus. Journal for ImmunoTherapy of Cancer. 11(6). e006388–e006388. 5 indexed citations

Thomas, Raquela J., et al.. (2023). Oncolytic myxoma virus is effective in murine models of triple negative breast cancer despite poor rates of infection. Molecular Therapy — Oncolytics. 30. 316–319. 4 indexed citations

Bartee, Mee Y., et al.. (2022). TNF blockade enhances the efficacy of myxoma virus-based oncolytic virotherapy. Journal for ImmunoTherapy of Cancer. 10(5). e004770–e004770. 9 indexed citations

Bartee, Mee Y., et al.. (2022). The Combination of TIM3-Based Checkpoint Blockade and Oncolytic Virotherapy Regresses Established Solid Tumors. Journal of Immunotherapy. 46(1). 1–4. 2 indexed citations

Bartee, Mee Y., et al.. (2020). Reduced cellular binding affinity has profoundly different impacts on the spread of distinct poxviruses. PLoS ONE. 15(4). e0231977–e0231977. 4 indexed citations

Bartee, Mee Y., et al.. (2019). Chimeric tumor modeling reveals role of partial PDL1 expression in resistance to virally induced immunotherapy. Journal for ImmunoTherapy of Cancer. 7(1). 11–11. 4 indexed citations

Bartee, Mee Y., et al.. (2019). <p>Impact of Induced Syncytia Formation on the Oncolytic Potential of Myxoma Virus</p>. PubMed. Volume 8. 57–69.

Wolfe, Amber, et al.. (2018). Myxoma Virus M083 Is a Virulence Factor Which Mediates Systemic Dissemination. Journal of Virology. 92(7). 5 indexed citations

10.

Bartee, Mee Y., et al.. (2017). Tumor-Localized Secretion of Soluble PD1 Enhances Oncolytic Virotherapy. Cancer Research. 77(11). 2952–2963. 91 indexed citations

11.

Bartee, Eric, Mee Y. Bartee, Bjarne Bogen, & Xue‐Zhong Yu. (2016). Systemic therapy with oncolytic myxoma virus cures established residual multiple myeloma in mice. Molecular Therapy — Oncolytics. 3. 16032–16032. 30 indexed citations

12.

Bartee, Mee Y., et al.. (2015). Myxoma Virus Induces Ligand Independent Extrinsic Apoptosis in Human Myeloma Cells. Clinical Lymphoma Myeloma & Leukemia. 16(4). 203–212. 24 indexed citations

13.

Bartee, Mee Y., et al.. (2015). Myxoma virus attenuates expression of activating transcription factor 4 (ATF4) which has implications for the treatment of proteasome inhibitor–resistant multiple myeloma. PubMed. 4. 1–1. 15 indexed citations

14.

Barnes, Natalie, Mee Y. Bartee, Arnab Gupta, et al.. (2009). Cell‐Specific Trafficking Suggests a new role for Renal ATP7B in the Intracellular Copper Storage. Traffic. 10(6). 767–779. 49 indexed citations

15.

Bartee, Mee Y., Martina Ralle, & Svetlana Lutsenko. (2009). The Loop Connecting Metal-Binding Domains 3 and 4 of ATP7B Is a Target of a Kinase-Mediated Phosphorylation. Biochemistry. 48(24). 5573–5581. 36 indexed citations

16.

Lutsenko, Svetlana, Natalie Barnes, Mee Y. Bartee, & Oleg Y. Dmitriev. (2007). Function and Regulation of Human Copper-Transporting ATPases. Physiological Reviews. 87(3). 1011–1046. 665 indexed citations breakdown →

17.

Bartee, Mee Y. & Svetlana Lutsenko. (2007). Hepatic copper-transporting ATPase ATP7B: function and inactivation at the molecular and cellular level. BioMetals. 20(3-4). 627–37. 67 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.

Explore authors with similar magnitude of impact