Alexander Jares

937 total citations
10 papers, 713 citations indexed

About

Alexander Jares is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Alexander Jares has authored 10 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Alexander Jares's work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers) and Pluripotent Stem Cells Research (2 papers). Alexander Jares is often cited by papers focused on CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers) and Pluripotent Stem Cells Research (2 papers). Alexander Jares collaborates with scholars based in United States, Macao and China. Alexander Jares's co-authors include Yupo Ma, Xun Jiang, Kevin G. Pinz, Fengshuo Lan, Marc G. Golightly, Kevin H. Chen, M. Wada, Chuanfeng Wu, Cynthia E. Dunbar and Hua Liu and has published in prestigious journals such as Free Radical Biology and Medicine, Cell stem cell and Leukemia.

In The Last Decade

Alexander Jares

10 papers receiving 698 citations

Peers

Alexander Jares

ONCOL

IMMUN

MB

GENET

HEMAT

Frederic B. Thalheimer Germany

Alyssa Sheih United States

Imran G. House Australia

Sanfang Tu China

Matthias Leisegang Germany

Caroline Arber United States

James Dongjoo Ham United States

Gangli An China

Sarah Oelsner Germany

Simon Thomas United Kingdom

Frederic B. Thalheimer Germany

Alexander Jares

494 ×1.0

ONCOL

195 ×0.5

IMMUN

377 ×1.6

MB

240 ×1.3

GENET

61 ×0.7

HEMAT

Citations per year, relative to Alexander Jares Alexander Jares (= 1×) peers Frederic B. Thalheimer

Countries citing papers authored by Alexander Jares

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Jares

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Jares

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

Nesbitt, Natasha M., Zhaoyan Liu, Alexander Jares, et al.. (2020). Divergent erythroid megakaryocyte fates in Blvrb-deficient mice establish non-overlapping cytoprotective functions during stress hematopoiesis. Free Radical Biology and Medicine. 164. 164–174. 12 indexed citations

2.

Chen, Kevin H., M. Wada, Kevin G. Pinz, et al.. (2017). Preclinical targeting of aggressive T-cell malignancies using anti-CD5 chimeric antigen receptor. Leukemia. 31(10). 2151–2160. 158 indexed citations

3.

Pinz, Kevin G., Alexander Jares, Hua Liu, et al.. (2017). Targeting T-cell malignancies using anti-CD4 CAR NK-92 cells. Oncotarget. 8(68). 112783–112796. 86 indexed citations

4.

Chen, Kevin H., M. Wada, Kevin G. Pinz, et al.. (2016). Novel anti-CD3 chimeric antigen receptor targeting of aggressive T cell malignancies. Oncotarget. 7(35). 56219–56232. 99 indexed citations

5.

Pinz, Kevin G., Marc G. Golightly, Alexander Jares, et al.. (2015). Preclinical targeting of human T-cell malignancies using CD4-specific chimeric antigen receptor (CAR)-engineered T cells. Leukemia. 30(3). 701–707. 89 indexed citations

6.

Jares, Alexander, et al.. (2015). From humble beginnings to success in the clinic: Chimeric antigen receptor-modified T-cells and implications for immunotherapy. Experimental Biology and Medicine. 240(8). 1087–1098. 53 indexed citations

7.

Liao, Wenbin, Nick Huang, Jingxia Yu, et al.. (2015). Direct Conversion of Cord Blood CD34+ Cells Into Neural Stem Cells by OCT4. Stem Cells Translational Medicine. 4(7). 755–763. 20 indexed citations

8.

Wu, Chuanfeng, So Gun Hong, Thomas Winkler, et al.. (2014). Development of an inducible caspase-9 safety switch for pluripotent stem cell–based therapies. Molecular Therapy — Methods & Clinical Development. 1. 14053–14053. 48 indexed citations

9.

Wu, Chuanfeng, Brian Li, Rong Lu, et al.. (2014). Clonal Tracking of Rhesus Macaque Hematopoiesis Highlights a Distinct Lineage Origin for Natural Killer Cells. Cell stem cell. 14(4). 486–499. 128 indexed citations

10.

Wu, Chuanfeng, et al.. (2012). High Efficiency Restriction Enzyme–Free Linear Amplification-Mediated Polymerase Chain Reaction Approach for Tracking Lentiviral Integration Sites Does Not Abrogate Retrieval Bias. Human Gene Therapy. 24(1). 38–47. 20 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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