Betsy Rezner

1.1k total citations
11 papers, 315 citations indexed

About

Betsy Rezner is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Betsy Rezner has authored 11 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Betsy Rezner's work include CAR-T cell therapy research (5 papers), Pluripotent Stem Cells Research (4 papers) and CRISPR and Genetic Engineering (4 papers). Betsy Rezner is often cited by papers focused on CAR-T cell therapy research (5 papers), Pluripotent Stem Cells Research (4 papers) and CRISPR and Genetic Engineering (4 papers). Betsy Rezner collaborates with scholars based in United States. Betsy Rezner's co-authors include Bahram Valamehr, Peter Flynn, Ramzey Abujarour, Tod E. Kippin, Ronald E. See, Karen K. Szumlinski, Tom Tong Lee, Thuy Le, Michael T. Fitch and Megan Robinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Cancer Research.

In The Last Decade

Betsy Rezner

11 papers receiving 313 citations

Peers

Betsy Rezner

MB

ONCOL

IMMUN

BN

SP

Seungmae Seo United States

Avital Gilam Israel

Marie‐Claude Jacquier Switzerland

Yasuhiro Saito Japan

Marianna Radács Hungary

Xianmin Song China

Barbara Werner Austria

Karina Barreiro Finland

Kevin K. Veverka United States

Yanan Yin China

Seungmae Seo United States

Betsy Rezner

222 ×1.4

MB

49 ×0.8

ONCOL

133 ×2.0

IMMUN

28 ×0.5

BN

10 ×0.2

SP

Citations per year, relative to Betsy Rezner Betsy Rezner (= 1×) peers Seungmae Seo

Countries citing papers authored by Betsy Rezner

Since Specialization

Citations

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

Fields of papers citing papers by Betsy Rezner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Betsy Rezner

This figure shows the co-authorship network connecting the top 25 collaborators of Betsy Rezner. A scholar is included among the top collaborators of Betsy Rezner 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 Betsy Rezner. Betsy Rezner 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

1.

Chang, Ya‐Ju, Niancao Chen, Christine Chen, et al.. (2022). High-Density Cryopreservation of Off-the-Shelf CAR-NK Cells Facilitates On-demand Treatment Access. Blood. 140(Supplement 1). 4693–4694. 1 indexed citations

2.

Rezner, Betsy, et al.. (2020). cGMP Mass Production of FT538, a First-of-Kind, Off-the-Shelf, Multiplexed Engineered Natural Killer Cell Cancer Immunotherapy Derived from a Clonal Master Induced Pluripotent Stem Cell Line. Blood. 136(Supplement 1). 25–25. 1 indexed citations

3.

Bjordahl, Ryan, Sajid Mahmood, Svetlana Gaidarova, et al.. (2018). Abstract 3576: FT500, an off-the-shelf NK cell cancer immunotherapy derived from a master pluripotent cell line, enhances T-cell activation and recruitment to overcome checkpoint blockade resistance. Cancer Research. 78(13_Supplement). 3576–3576. 7 indexed citations

4.

Cichocki, Frank, Bahram Valamehr, Dhifaf Sarhan, et al.. (2016). Development and Scale-up of a Novel GMP Method for Enrichment and Expansion of Terminally Differentiated Adaptive Natural Killer Cells (FATE-NK100) with Enhanced Anti-Tumor Function. Blood. 128(22). 1225–1225. 3 indexed citations

5.

Mitchell, Leah, Thuy Le, Betsy Rezner, et al.. (2015). Ex Vivo Modulation of Donor Cells Results in Enhanced Survival and Reduced Gvhd Mortality. Blood. 126(23). 1884–1884. 2 indexed citations

6.

Valamehr, Bahram, Megan Robinson, Ramzey Abujarour, et al.. (2014). Platform for Induction and Maintenance of Transgene-free hiPSCs Resembling Ground State Pluripotent Stem Cells. Stem Cell Reports. 2(3). 366–381. 138 indexed citations

7.

Robbins, David, Thuy Le, Heather Foster, et al.. (2014). Ex Vivo Modulation of Mobilized Peripheral Blood: Characterization of HSC and T-Cell Responses to Prostaglandin E2. Blood. 124(21). 1092–1092. 1 indexed citations

8.

Cutler, Corey, Daniel Shoemaker, Peter Westervelt, et al.. (2014). Ex Vivo Pharmacologic Modulation in a Nutrient-Rich Medium to Accelerate Engraftment of Human Umbilical Cord Blood. Blood. 124(21). 3807–3807. 1 indexed citations

9.

Abujarour, Ramzey, et al.. (2013). Optimized Surface Markers for the Prospective Isolation of High-Quality hiPSCs using Flow Cytometry Selection. Scientific Reports. 3(1). 1179–1179. 36 indexed citations

10.

Sieburg, Hans B., Betsy Rezner, & Christa E. Müller‐Sieburg. (2011). Predicting clonal self-renewal and extinction of hematopoietic stem cells. Proceedings of the National Academy of Sciences. 108(11). 4370–4375. 39 indexed citations

11.

Kippin, Tod E., et al.. (2007). Prenatal Stress Enhances Responsiveness to Cocaine. Neuropsychopharmacology. 33(4). 769–782. 86 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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