Colleen Schweitzer

1.2k total citations
10 papers, 671 citations indexed

About

Colleen Schweitzer is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Colleen Schweitzer has authored 10 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Colleen Schweitzer's work include Virus-based gene therapy research (3 papers), Cancer Research and Treatments (2 papers) and CAR-T cell therapy research (2 papers). Colleen Schweitzer is often cited by papers focused on Virus-based gene therapy research (3 papers), Cancer Research and Treatments (2 papers) and CAR-T cell therapy research (2 papers). Colleen Schweitzer collaborates with scholars based in United States, Canada and United Kingdom. Colleen Schweitzer's co-authors include James A. DeCaprio, Sorab N. Dalal, Juan Zalvide, Kathryn S. Campbell, Hilde Stubdal, Thomas M. Roberts, Frank Sicheri, D Vuga, Daniel Durocher and Julie L. Lucas and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Colleen Schweitzer

9 papers receiving 667 citations

Peers

Colleen Schweitzer

MB

CB

ONCOL

EPIDE

IMMUN

Florence Levillayer France

Richard Silva Brazil

Heinrich Horstmann Singapore

Hideki Tani Japan

Yasutoshi Tatsumi Japan

Michael L. van de Weijer Netherlands

Yafei Cai China

M D Goldsborough United States

Kiyomasa Oka Japan

Elisa Fasana Italy

Florence Levillayer France

Colleen Schweitzer

388 ×0.9

MB

131 ×0.5

CB

91 ×0.5

ONCOL

161 ×1.4

EPIDE

181 ×2.2

IMMUN

Citations per year, relative to Colleen Schweitzer Colleen Schweitzer (= 1×) peers Florence Levillayer

Countries citing papers authored by Colleen Schweitzer

Since Specialization

Citations

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

Fields of papers citing papers by Colleen Schweitzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colleen Schweitzer

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

All Works

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10 of 10 papers shown

1.

Faiena, Izak, Sabina Adhikary, Colleen Schweitzer, et al.. (2024). Gene and Protein Expression of MAGE and Associated Immune Landscape Elements in Non–Small-Cell Lung Carcinoma and Urothelial Carcinomas. Journal of Immunotherapy. 47(9). 351–360.

2.

Norberg, Scott M., Nisha Nagarsheth, Andrew Sinkoe, et al.. (2020). Safety and clinical activity of gene-engineered T-cell therapy targeting HPV-16 E7 for epithelial cancers.. Journal of Clinical Oncology. 38(15_suppl). 101–101. 13 indexed citations

3.

Norberg, Scott M., Nisha Nagarsheth, Stacey L. Doran, et al.. (2018). Regression of Epithelial Cancers Following T Cell Receptor Gene Therapy Targeting Human Papillomavirus-16 E7. Blood. 132(Supplement 1). 492–492. 9 indexed citations

4.

Nagarsheth, Nisha, Scott M. Norberg, Stacey L. Doran, et al.. (2018). Regression of epithelial cancers in humans following t-cell receptor gene therapy targeting human papillomavirus-16 E7.. Journal of Clinical Oncology. 36(15_suppl). 3043–3043. 4 indexed citations

5.

Lucas, Julie L., D Vuga, Xiaoping Wang, et al.. (2011). Potent and Selective Inhibitors of the Inositol-requiring Enzyme 1 Endoribonuclease. Journal of Biological Chemistry. 286(14). 12743–12755. 181 indexed citations

6.

M’Rini, Christine, Guiying Cheng, Colleen Schweitzer, et al.. (2003). A Novel Endothelial L-Selectin Ligand Activity in Lymph Node Medulla That Is Regulated by α(1,3)-Fucosyltransferase-IV. The Journal of Experimental Medicine. 198(9). 1301–1312. 39 indexed citations

7.

Ayté, José, Colleen Schweitzer, Patrick Zarzov, Paul Nurse, & James A. DeCaprio. (2001). Feedback regulation of the MBF transcription factor by cyclin Cig2. Nature Cell Biology. 3(12). 1043–1050. 43 indexed citations

8.

Dalal, Sorab N., et al.. (1999). Cytoplasmic Localization of Human cdc25C during Interphase Requires an Intact 14-3-3 Binding Site. Molecular and Cellular Biology. 19(6). 4465–4479. 227 indexed citations

9.

Stubdal, Hilde, Juan Zalvide, Kathryn S. Campbell, et al.. (1997). Inactivation of pRB-Related Proteins p130 and p107 Mediated by the J Domain of Simian Virus 40 Large T Antigen. Molecular and Cellular Biology. 17(9). 4979–4990. 154 indexed citations

10.

Rubin, Mara Iolanda Batistella, et al.. (1994). Funcao da proteina quinase c na maturacao nuclear em oocitos de bovinos. 32. 42–42. 1 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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