Maxine Lam

633 total citations
10 papers, 435 citations indexed

About

Maxine Lam is a scholar working on Oncology, Cell Biology and Molecular Biology. According to data from OpenAlex, Maxine Lam has authored 10 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in Maxine Lam's work include Cellular Mechanics and Interactions (3 papers), Cancer Research and Treatments (2 papers) and CAR-T cell therapy research (2 papers). Maxine Lam is often cited by papers focused on Cellular Mechanics and Interactions (3 papers), Cancer Research and Treatments (2 papers) and CAR-T cell therapy research (2 papers). Maxine Lam collaborates with scholars based in United States, Singapore and United Kingdom. Maxine Lam's co-authors include Fernando Calvo, Guillaume Charras, Buzz Baum, Alexandre Kabla, Andrew R. Harris, Qian Cheng, Julien Bellis, Tom Wyatt, Andrea Dimitracopoulos and Hongda Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Biomaterials.

In The Last Decade

Maxine Lam

10 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxine Lam United States 7 190 178 85 83 49 10 435
Nishit Srivastava United States 11 182 1.0× 327 1.8× 40 0.5× 70 0.8× 38 0.8× 13 633
Stephanie Chou United States 8 208 1.1× 428 2.4× 41 0.5× 72 0.9× 36 0.7× 12 637
Kimberly K. Gokoffski United States 10 134 0.7× 317 1.8× 121 1.4× 49 0.6× 116 2.4× 34 612
Liat Amir-Zilberstein Israel 12 127 0.7× 316 1.8× 31 0.4× 52 0.6× 46 0.9× 12 510
Shalini Menon United States 10 125 0.7× 198 1.1× 55 0.6× 55 0.7× 132 2.7× 12 401
Deborah B. Householder United States 8 107 0.6× 383 2.2× 92 1.1× 39 0.5× 61 1.2× 11 569
Nicole Wagner Germany 14 161 0.8× 582 3.3× 86 1.0× 145 1.7× 201 4.1× 29 846
Jesse R. Holt United States 6 240 1.3× 306 1.7× 46 0.5× 89 1.1× 34 0.7× 10 752
Ruoqi Gao United States 10 76 0.4× 217 1.2× 30 0.4× 87 1.0× 123 2.5× 12 464
Marek Pacal Canada 12 73 0.4× 493 2.8× 145 1.7× 50 0.6× 94 1.9× 19 689

Countries citing papers authored by Maxine Lam

Since Specialization
Citations

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

Fields of papers citing papers by Maxine Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxine Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Maxine Lam. A scholar is included among the top collaborators of Maxine Lam 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 Maxine Lam. Maxine Lam 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.
Reales‐Calderón, Jose Antonio, Maxine Lam, Jin Rong Ow, et al.. (2025). In vitro integration of a functional vasculature to model endothelial regulation of chemotherapy and T-cell immunotherapy in liver cancer. Biomaterials. 320. 123175–123175. 3 indexed citations
2.
Perez, Caleb R., et al.. (2025). Pooled screening for CAR function identifies novel IL-13Rα2-targeted CARs for treatment of glioblastoma. Journal for ImmunoTherapy of Cancer. 13(2). e009574–e009574. 3 indexed citations
3.
Lam, Maxine, Jose Antonio Reales‐Calderón, Jin Rong Ow, et al.. (2023). G9a/GLP inhibition during ex vivo lymphocyte expansion increases in vivo cytotoxicity of engineered T cells against hepatocellular carcinoma. Nature Communications. 14(1). 563–563. 14 indexed citations
5.
Lam, Maxine, Jose Antonio Reales‐Calderón, Jin Rong Ow, Giulia Adriani, & Andrea Pavesi. (2021). In vitro 3D liver tumor microenvironment models for immune cell therapy optimization. APL Bioengineering. 5(4). 41502–41502. 6 indexed citations
6.
Lam, Maxine, Ana Lisica, Nitya Ramkumar, et al.. (2020). Isotropic myosin-generated tissue tension is required for the dynamic orientation of the mitotic spindle. Molecular Biology of the Cell. 31(13). 1370–1379. 11 indexed citations
7.
Ferrari, Nicola, Romana Ranftl, Neil Slaven, et al.. (2019). Dickkopf-3 links HSF1 and YAP/TAZ signalling to control aggressive behaviours in cancer-associated fibroblasts. Nature Communications. 10(1). 130–130. 119 indexed citations
8.
Lam, Maxine & Fernando Calvo. (2018). Regulation of mechanotransduction: Emerging roles for septins. Cytoskeleton. 76(1). 115–122. 28 indexed citations
9.
Wyatt, Tom, Andrew R. Harris, Maxine Lam, et al.. (2015). Emergence of homeostatic epithelial packing and stress dissipation through divisions oriented along the long cell axis. Proceedings of the National Academy of Sciences. 112(18). 5726–5731. 143 indexed citations
10.
Johnson, Rebecca A., Maxine Lam, Hongda Li, et al.. (2011). 7,8-dihydroxyflavone exhibits therapeutic efficacy in a mouse model of Rett syndrome. Journal of Applied Physiology. 112(5). 704–710. 89 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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