Anne Chew

17.1k total citations · 4 hit papers
34 papers, 9.6k citations indexed

About

Anne Chew is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Anne Chew has authored 34 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 10 papers in Immunology and 8 papers in Genetics. Recurrent topics in Anne Chew's work include CAR-T cell therapy research (24 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Virus-based gene therapy research (7 papers). Anne Chew is often cited by papers focused on CAR-T cell therapy research (24 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Virus-based gene therapy research (7 papers). Anne Chew collaborates with scholars based in United States and Switzerland. Anne Chew's co-authors include Carl H. June, Bruce L. Levine, Stephan A. Grupp, David L. Porter, David T. Teachey, David M. Barrett, Richard Aplenc, Susan R. Rheingold, Simon F. Lacey and J. Joseph Melenhorst and has published in prestigious journals such as New England Journal of Medicine, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Anne Chew

32 papers receiving 9.4k citations

Hit Papers

Chimeric Antigen Receptor T Cells for Sustained Remission... 2013 2026 2017 2021 2014 2013 2015 2013 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Chew United States 19 8.4k 3.3k 2.6k 2.5k 2.3k 34 9.6k
Shannon L. Maude United States 33 7.7k 0.9× 2.5k 0.8× 2.2k 0.8× 2.1k 0.8× 1.9k 0.8× 107 9.2k
J. Joseph Melenhorst United States 38 11.1k 1.3× 4.0k 1.2× 3.1k 1.2× 3.5k 1.4× 3.2k 1.4× 122 12.7k
Zhaohui Zheng United States 17 5.6k 0.7× 2.1k 0.6× 1.7k 0.7× 1.8k 0.7× 1.5k 0.7× 32 6.5k
Nirali N. Shah United States 34 6.0k 0.7× 2.0k 0.6× 1.8k 0.7× 1.8k 0.7× 1.6k 0.7× 219 7.4k
Vanessa Gonzalez United States 8 5.0k 0.6× 1.8k 0.5× 1.5k 0.6× 1.5k 0.6× 1.4k 0.6× 20 5.6k
Yolanda D. Mahnke United States 19 4.4k 0.5× 2.6k 0.8× 1.2k 0.5× 1.7k 0.7× 1.1k 0.5× 32 6.4k
Saar Gill United States 39 4.4k 0.5× 3.0k 0.9× 1.3k 0.5× 2.0k 0.8× 1.0k 0.5× 174 6.9k
Michael Hudecek Germany 39 5.4k 0.6× 2.0k 0.6× 1.6k 0.6× 2.4k 0.9× 1.9k 0.8× 112 6.4k
Claudia Rössig Germany 35 4.4k 0.5× 2.4k 0.7× 1.4k 0.5× 1.4k 0.5× 951 0.4× 157 5.8k

Countries citing papers authored by Anne Chew

Since Specialization
Citations

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

Fields of papers citing papers by Anne Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Chew

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Chew. A scholar is included among the top collaborators of Anne Chew 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 Anne Chew. Anne Chew 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.
Jadlowsky, Julie K., Rachel Leskowitz, S.J. McKenna, et al.. (2024). Long-term stability of clinical-grade lentiviral vectors for cell therapy. Molecular Therapy — Methods & Clinical Development. 32(1). 101186–101186. 7 indexed citations
2.
3.
Jung, In-Young, Estela Noguera-Ortega, Erik F. Williams, et al.. (2023). Tissue-resident memory CAR T cells with stem-like characteristics display enhanced efficacy against solid and liquid tumors. Cell Reports Medicine. 4(6). 101053–101053. 36 indexed citations
4.
Cornetta, Kenneth, Cameron J. Turtle, Michael C. Jensen, et al.. (2017). Absence of Replication-Competent Lentivirus in the Clinic: Analysis of Infused T Cell Products. Molecular Therapy. 26(1). 280–288. 64 indexed citations
5.
Marcucci, Katherine T., Julie K. Jadlowsky, Wei‐Ting Hwang, et al.. (2017). Retroviral and Lentiviral Safety Analysis of Gene-Modified T Cell Products and Infused HIV and Oncology Patients. Molecular Therapy. 26(1). 269–279. 91 indexed citations
7.
Porter, David L., Norbert Frey, Jan J. Melenhorst, et al.. (2016). Randomized, phase II dose optimization study of chimeric antigen receptor (CAR) modified T cells directed against CD19 in patients (pts) with relapsed, refractory (R/R) CLL.. Journal of Clinical Oncology. 34(15_suppl). 3009–3009. 28 indexed citations
9.
Schuster, Stephen J., Jakub Svoboda, Sunita D. Nasta, et al.. (2016). Recovery of humoral immunity in patients with durable complete responses following chimeric antigen receptor modified t cells directed against CD19 (CTL019).. Journal of Clinical Oncology. 34(15_suppl). 7564–7564. 7 indexed citations
10.
Porter, David L., Simon F. Lacey, Wei‐Ting Hwang, et al.. (2014). Cytokine Release Syndrome (CRS) after Chimeric Antigen Receptor (CAR) T Cell Therapy for Relapsed/Refractory (R/R) CLL. Blood. 124(21). 1983–1983. 6 indexed citations
11.
Maude, Shannon L., Noelle V. Frey, Pamela A. Shaw, et al.. (2014). Chimeric Antigen Receptor T Cells for Sustained Remissions in Leukemia. New England Journal of Medicine. 371(16). 1507–1517. 3933 indexed citations breakdown →
12.
Beatty, Gregory L., Andrew R. Haas, Marcela V. Maus, et al.. (2013). Mesothelin-Specific Chimeric Antigen Receptor mRNA-Engineered T Cells Induce Antitumor Activity in Solid Malignancies. Cancer Immunology Research. 2(2). 112–120. 693 indexed citations breakdown →
13.
Grupp, Stephan A., Michael Kalos, David M. Barrett, et al.. (2013). Chimeric Antigen Receptor–Modified T Cells for Acute Lymphoid Leukemia. New England Journal of Medicine. 368(16). 1509–1518. 2631 indexed citations breakdown →
14.
Porter, David L., Michael Kalos, Norbert Frey, et al.. (2013). Chimeric Antigen Receptor Modified T Cells Directed Against CD19 (CTL019 cells) Have Long-Term Persistence and Induce Durable Responses In Relapsed, Refractory CLL. Blood. 122(21). 4162–4162. 22 indexed citations
15.
Zhao, Yangbing, Edmund K. Moon, Carmine Carpenito, et al.. (2010). Multiple Injections of Electroporated Autologous T Cells Expressing a Chimeric Antigen Receptor Mediate Regression of Human Disseminated Tumor. Cancer Research. 70(22). 9053–9061. 366 indexed citations
17.
Chew, Anne, Giorgio Sirugo, John P. Alsobrook, & Grazia Isaya. (2000). Functional and Genomic Analysis of the Human Mitochondrial Intermediate Peptidase, a Putative Protein Partner of Frataxin. Genomics. 65(2). 104–112. 20 indexed citations
18.
Chew, Anne, et al.. (1997). Cloning, Expression, and Chromosomal Assignment of the Human Mitochondrial Intermediate Peptidase Gene (MIPEP). Genomics. 40(3). 493–496. 26 indexed citations
19.
Chew, Anne, et al.. (1996). Mutations in a Putative Zinc-Binding Domain Inactivate the Mitochondrial Intermediate Peptidase. Biochemical and Biophysical Research Communications. 226(3). 822–829. 12 indexed citations
20.
Monestier, Marc, Anne Chew, Kuppuswamy N. Kasturi, et al.. (1988). Specificities and V genes encoding monoclonal autoantibodies from viable motheaten mice.. The Journal of Experimental Medicine. 167(3). 1137–1153. 62 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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