Maria Moeller

736 total citations
11 papers, 574 citations indexed

About

Maria Moeller is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Maria Moeller has authored 11 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 11 papers in Immunology and 6 papers in Genetics. Recurrent topics in Maria Moeller's work include CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (9 papers) and Virus-based gene therapy research (6 papers). Maria Moeller is often cited by papers focused on CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (9 papers) and Virus-based gene therapy research (6 papers). Maria Moeller collaborates with scholars based in Australia, United States and United Kingdom. Maria Moeller's co-authors include Phillip K. Darcy, Michael H. Kershaw, Mark J. Smyth, Michele W.L. Teng, Joseph A. Trapani, Jennifer A. Westwood, Nicole M. Haynes, Jacob T. Jackson, Shayna E.A. Street and Linda J. Berry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Immunity.

In The Last Decade

Maria Moeller

11 papers receiving 565 citations

Peers

Countries citing papers authored by Maria Moeller

Since Specialization

Citations

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

Fields of papers citing papers by Maria Moeller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Moeller

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Expression of a Chimeric Antigen Receptor in Multiple Leukocyte Lineages in Transgenic Mice 2015 ·PLoS ONE ·Carmen S. Yong, Jennifer A. Westwood, Jan Schröder, Anthony T. Papenfuss, Bianca von Scheidt, Maria Moeller, Christel Devaud, Phillip K. Darcy, Michael H. Kershaw	8
2	Tumor Ablation by Gene-Modified T Cells in the Absence of Autoimmunity 2010 ·Cancer Research ·(unknown), Jennifer A. Westwood, Maria Moeller, Connie P.M. Duong, Wei‐Zen Wei, Jordane Malaterre, Joseph A. Trapani, Paul J. Neeson, Mark J. Smyth, Michael H. Kershaw, Phillip K. Darcy	46
3	Adoptive immunotherapy for cancer: the next generation of gene‐engineered immune cells 2009 ·Tissue Antigens ·Linda J. Berry, Maria Moeller, Phillip K. Darcy	36
4	Sustained Antigen-Specific Antitumor Recall Response Mediated by Gene-Modified CD4+ T Helper-1 and CD8+ T Cells 2007 ·Cancer Research ·Maria Moeller, Michael H. Kershaw, (unknown), Jennifer A. Westwood, Joseph A. Trapani, Mark J. Smyth, Phillip K. Darcy	55
5	Antitumor activity of dual-specific T cells and influenza virus 2007 ·Cancer Gene Therapy ·Anna V. Murphy, Jennifer A. Westwood, Lorena E. Brown, Michele W.L. Teng, Maria Moeller, Yuekang Xu, Mark J. Smyth, Patrick Hwu, Phillip K. Darcy, Michael H. Kershaw	22
6	Gene Modification Strategies to Induce Tumor Immunity 2005 ·Immunity ·Amanda J. Murphy, Jennifer A. Westwood, Michele W.L. Teng, Maria Moeller, Phillip K. Darcy, Michael H. Kershaw	49
7	Adoptive transfer of T cells modified with a humanized chimeric receptor gene inhibits growth of Lewis-Y-expressing tumors in mice 2005 ·Proceedings of the National Academy of Sciences ·Jennifer A. Westwood, Mark J. Smyth, Michele W.L. Teng, Maria Moeller, Joseph A. Trapani, Andrew M. Scott, Fiona E. Smyth, Glenn A. Cartwright, Barbara Power, Dirk Hönemann, H. Miles Prince, Phillip K. Darcy, Michael H. Kershaw	118
8	Adoptive transfer of gene-engineered CD4+ helper T cells induces potent primary and secondary tumor rejection 2005 ·Blood ·Maria Moeller, Nicole M. Haynes, Michael H. Kershaw, Jacob T. Jackson, Michele W.L. Teng, Shayna E.A. Street, (unknown), Stephen M. Jane, Joseph A. Trapani, Mark J. Smyth, Phillip K. Darcy	84
9	Gene-Engineered T Cells as a Superior Adjuvant Therapy for Metastatic Cancer 2004 ·The Journal of Immunology ·Michael H. Kershaw, Jacob T. Jackson, Nicole M. Haynes, Michele W.L. Teng, Maria Moeller, Yoshihiro Hayakawa, Shayna E.A. Street, (unknown), Jane E. Tanner, Joseph A. Trapani, Mark J. Smyth, Phillip K. Darcy	65
10	A functional role for CD28 costimulation in tumor recognition by single-chain receptor-modified T cells 2004 ·Cancer Gene Therapy ·Maria Moeller, Nicole M. Haynes, Joseph A. Trapani, Michele W.L. Teng, Jacob T. Jackson, Jane E. Tanner, (unknown), Stephen M. Jane, Michael H. Kershaw, Mark J. Smyth, Phillip K. Darcy	50
11	Immunotherapy of Cancer Using Systemically Delivered Gene-Modified Human T Lymphocytes 2004 ·Human Gene Therapy ·Michele W.L. Teng, Michael H. Kershaw, Maria Moeller, Mark J. Smyth, Phillip K. Darcy	41

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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