Mimi Leung

6.2k total citations
10 papers, 235 citations indexed

About

Mimi Leung is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mimi Leung has authored 10 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 3 papers in Pediatrics, Perinatology and Child Health and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mimi Leung's work include CAR-T cell therapy research (6 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). Mimi Leung is often cited by papers focused on CAR-T cell therapy research (6 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). Mimi Leung collaborates with scholars based in United States, Switzerland and United Kingdom. Mimi Leung's co-authors include Stephan A. Grupp, Carl H. June, Keith J. August, Sweta Shah, Michael A. Pulsipher, Bruce L. Levine, John E. Levine, Theodore W. Laetsch, Michael W. Boyer and Rakesh Awasthi and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Clinical Pharmacology.

In The Last Decade

Mimi Leung

10 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mimi Leung United States 6 144 83 72 34 33 10 235
Razan Mohty United States 10 149 1.0× 47 0.6× 52 0.7× 10 0.3× 23 0.7× 43 257
Vivian Fung Canada 7 165 1.1× 208 2.5× 37 0.5× 17 0.5× 18 0.5× 12 296
Betty Joe Canada 9 132 0.9× 243 2.9× 55 0.8× 31 0.9× 12 0.4× 22 364
Miriam Sánchez‐Escamilla Spain 5 193 1.3× 66 0.8× 56 0.8× 4 0.1× 50 1.5× 13 239
Vipul Sheth United States 7 184 1.3× 84 1.0× 58 0.8× 5 0.1× 44 1.3× 22 273
Shruti Mishra United States 9 92 0.6× 187 2.3× 91 1.3× 11 0.3× 5 0.2× 13 320
Hamed Zaribafzadeh United States 7 209 1.5× 25 0.3× 232 3.2× 8 0.2× 50 1.5× 12 417
Lamis Eldjerou United States 10 178 1.2× 55 0.7× 29 0.4× 8 0.2× 38 1.2× 22 260
Eva Wagner-Drouet Germany 8 81 0.6× 47 0.6× 55 0.8× 6 0.2× 14 0.4× 28 175
Raquel T. Yokoda United States 9 140 1.0× 48 0.6× 53 0.7× 25 0.7× 15 0.5× 17 345

Countries citing papers authored by Mimi Leung

Since Specialization
Citations

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

Fields of papers citing papers by Mimi Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mimi Leung

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

All Works

10 of 10 papers shown
1.
Garon, Edward B., Andrea Ardizzoni, Fabrice Barlési, et al.. (2020). CANOPY-A: A phase III, multicenter, randomized, double-blind, placebo-controlled trial evaluating canakinumab as adjuvant therapy in patients (pts) with completely resected non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 38(15_suppl). TPS9075–TPS9075. 5 indexed citations
2.
Stein, Andrew M., Stephan A. Grupp, John E. Levine, et al.. (2019). Tisagenlecleucel Model‐Based Cellular Kinetic Analysis of Chimeric Antigen Receptor–T Cells. CPT Pharmacometrics & Systems Pharmacology. 8(5). 285–295. 102 indexed citations
3.
Ericson, Solveig G., Lamis Eldjerou, Eric Bleickardt, et al.. (2019). Industry’s Giant Leap Into Cellular Therapy: Catalyzing Chimeric Antigen Receptor T Cell (CAR-T) Immunotherapy. Current Hematologic Malignancy Reports. 14(1). 47–55. 11 indexed citations
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6.
Mueller, Karen Thudium, Edward Waldron, Stephan A. Grupp, et al.. (2017). CTL019 Clinical Pharmacology and Biopharmaceutics in Pediatric Patients with Relapsed or Refractory (R/R) Acute Lymphoblastic Leukemia (ALL). Clinical Lymphoma Myeloma & Leukemia. 17. S261–S262. 3 indexed citations
7.
Hochhaus, Andreas, Michele Baccarani, Francis J. Giles, et al.. (2015). Nilotinib in patients with systemic mastocytosis: analysis of the phase 2, open-label, single-arm nilotinib registration study. Journal of Cancer Research and Clinical Oncology. 141(11). 2047–2060. 44 indexed citations
8.
Frey, Noelle V., Bruce L. Levine, Simon F. Lacey, et al.. (2014). Refractory Cytokine Release Syndrome in Recipients of Chimeric Antigen Receptor (CAR) T Cells. Blood. 124(21). 2296–2296. 30 indexed citations
9.
Pescovitz, Mark D., Flavio Vincenti, Marquis Hart, et al.. (2007). Pharmacokinetics, safety, and efficacy of mycophenolate mofetil in combination with sirolimus or ciclosporin in renal transplant patients. British Journal of Clinical Pharmacology. 64(6). 758–771. 20 indexed citations
10.
Lobritto, Steven, et al.. (2007). Pharmacokinetics of mycophenolate mofetil in stable pediatric liver transplant recipients receiving mycophenolate mofetil and cyclosporine. Liver Transplantation. 13(11). 1570–1575. 16 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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