Sascha Abramson

613 total citations
22 papers, 265 citations indexed

About

Sascha Abramson is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Sascha Abramson has authored 22 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Sascha Abramson's work include CAR-T cell therapy research (11 papers), Immune cells in cancer (7 papers) and Phagocytosis and Immune Regulation (5 papers). Sascha Abramson is often cited by papers focused on CAR-T cell therapy research (11 papers), Immune cells in cancer (7 papers) and Phagocytosis and Immune Regulation (5 papers). Sascha Abramson collaborates with scholars based in United States and Switzerland. Sascha Abramson's co-authors include Joachim Kohn, Doyle Knight, Jack R. Smith, Gabriela Alexe, Norbert Weber, Agnieszka Seyda, Peter L. Hammer, William J. Welsh, Vladyslav Kholodovych and Michael Klichinsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Polymer.

In The Last Decade

Sascha Abramson

22 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sascha Abramson United States 8 74 55 52 41 33 22 265
Yuhao Xia China 11 91 1.2× 55 1.0× 69 1.3× 135 3.3× 23 0.7× 38 392
Xiaoping Zhong China 11 75 1.0× 39 0.7× 29 0.6× 169 4.1× 6 0.2× 26 372
Yiqiao Liu United States 10 130 1.8× 59 1.1× 16 0.3× 135 3.3× 15 0.5× 20 413
Anupama Samantasinghar South Korea 12 86 1.2× 95 1.7× 21 0.4× 154 3.8× 78 2.4× 15 429
David P. Schrijver Netherlands 5 53 0.7× 52 0.9× 114 2.2× 118 2.9× 6 0.2× 6 276
Sibu Kuruvilla United States 9 116 1.6× 61 1.1× 48 0.9× 122 3.0× 4 0.1× 10 305
Huichao Huang China 14 52 0.7× 88 1.6× 48 0.9× 254 6.2× 5 0.2× 28 511
Ziyi Lu China 10 104 1.4× 35 0.6× 24 0.5× 84 2.0× 3 0.1× 30 363
Jianhua Jiao China 11 72 1.0× 38 0.7× 29 0.6× 100 2.4× 5 0.2× 44 394
Danni Gong China 10 57 0.8× 40 0.7× 26 0.5× 89 2.2× 4 0.1× 29 417

Countries citing papers authored by Sascha Abramson

Since Specialization
Citations

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

Fields of papers citing papers by Sascha Abramson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sascha Abramson

This figure shows the co-authorship network connecting the top 25 collaborators of Sascha Abramson. A scholar is included among the top collaborators of Sascha Abramson 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 Sascha Abramson. Sascha Abramson 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.
Gabbasov, Rashid, Alison Worth, Michael Ball, et al.. (2022). 371 Chimeric antigen receptor macrophages (CAR-M) sensitize solid tumors to anti-PD1 immunotherapy. Regular and Young Investigator Award Abstracts. A390–A390. 4 indexed citations
2.
Anderson, Nicholas R., Michael Klichinsky, Stefano Pierini, et al.. (2022). 194 Pre-clinical development of CT-1119, a mesothelin targeting chimeric antigen receptor macrophage (CAR-M), for solid tumor immunotherapy. Regular and Young Investigator Award Abstracts. A207–A207. 3 indexed citations
3.
Gabbasov, Rashid, Ilyssa Ramos, Daniel Blumenthal, et al.. (2022). Abstract 2112: Chimeric antigen receptor macrophages (CAR-M) sensitize solid tumors to anti-PD1 immunotherapy. Cancer Research. 82(12_Supplement). 2112–2112. 1 indexed citations
4.
Blumenthal, Daniel, et al.. (2022). Abstract 582: Pre-clinical development of CAR Monocytes (CAR Mono) for solid tumor immunotherapy. Cancer Research. 82(12_Supplement). 582–582. 5 indexed citations
5.
Gabitova, Linara, Silvia Beghi, Larissa Lumi Watanabe Ishikawa, et al.. (2022). 318 Pre-clinical development of a CAR monocyte platform for cancer immunotherapy. Regular and Young Investigator Award Abstracts. A334–A334. 4 indexed citations
6.
Gabitova, Linara, Rashid Gabbasov, Stefano Pierini, et al.. (2021). Abstract 1530: Anti-HER2 CAR monocytes demonstrate targeted anti-tumor activity and enable a single day cell manufacturing process. Cancer Research. 81(13_Supplement). 1530–1530. 9 indexed citations
7.
Pierini, Stefano, Rashid Gabbasov, Linara Gabitova, et al.. (2021). Abstract 63: Chimeric antigen receptor macrophages (CAR-M) induce anti-tumor immunity and synergize with T cell checkpoint inhibitors in pre-clinical solid tumor models. Cancer Research. 81(13_Supplement). 63–63. 21 indexed citations
8.
Gabbasov, Rashid, et al.. (2021). 144 SIRPα deficient CAR-Macrophages exhibit enhanced anti-tumor function and bypass the CD47 immune checkpoint. Regular and Young Investigator Award Abstracts. A152–A152. 4 indexed citations
9.
Blumenthal, Daniel, Linara Gabitova, Andrew Best, et al.. (2021). 104 Development and characterization of human chimeric antigen receptor monocytes (CAR-Mono), a novel cell therapy platform. SHILAP Revista de lepidopterología. A114–A114. 3 indexed citations
11.
Francki, Aleksandar, Ellen Z. Baum, Stewart Abbot, et al.. (2015). Angiogenic properties of human placenta-derived adherent cells and efficacy in hindlimb ischemia. Journal of Vascular Surgery. 64(3). 746–756.e1. 22 indexed citations
12.
Abramson, Sascha, et al.. (2008). Placenta Derived Adherent Cell (PDAC) Interaction and Response on Extracellular Matrix Isolated from Human Placenta t.. PubMed. 20(2). 29–36. 2 indexed citations
13.
Lewis, Craig D., Sascha Abramson, Cynthia Ray, et al.. (2007). The Mechanism of Cell Interaction and Response on Decellularized Human Amniotic Membrane: Implications in Wound Healing.. PubMed. 19(8). 207–17. 24 indexed citations
14.
Abramson, Sascha, Gabriela Alexe, Peter L. Hammer, & Joachim Kohn. (2005). A computational approach to predicting cell growth on polymeric biomaterials. Journal of Biomedical Materials Research Part A. 73A(1). 116–124. 39 indexed citations
15.
Smith, Jack R., Agnieszka Seyda, Norbert Weber, et al.. (2004). Integration of Combinatorial Synthesis, Rapid Screening, and Computational Modeling in Biomaterials Development. Macromolecular Rapid Communications. 25(1). 127–140. 57 indexed citations
16.
Kholodovych, Vladyslav, J. R. Smith, Doyle Knight, et al.. (2004). Accurate predictions of cellular response using QSPR: a feasibility test of rational design of polymeric biomaterials. Polymer. 45(22). 7367–7379. 6 indexed citations
17.
Kholodovych, Vladyslav, Jack R. Smith, Doyle Knight, et al.. (2004). Accurate predictions of cellular response using QSPR: a feasibility test of rational design of polymeric biomaterials. Polymer. 45(22). 7367–7379. 42 indexed citations
18.
Liu, Yinghui, Sascha Abramson, Joachim Kohn, & Dajun Zhang. (2003). Characterizing the mechanical properties of poly-(DTE carbonate) scaffold from the finite element simulation of its microtopology. 21. 168–169. 1 indexed citations
19.
Smith, Jack R., Doyle Knight, Joachim Kohn, et al.. (2003). Using Non-linear Regression to Predict Bioresponse in a Combinatorial Library of Biodegradable Polymers. MRS Proceedings. 804. 2 indexed citations
20.
Abramson, Sascha, et al.. (2002). USING LOGICAL ANALYSIS OF DATA (LAD) TO FIND PHYSIO-MECHANICAL DATA PATTERNS WHICH PREDICT CELLULAR OUTCOMES. 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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