Christopher C. Kloss

4.4k total citations · 3 hit papers
15 papers, 2.6k citations indexed

About

Christopher C. Kloss is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Christopher C. Kloss has authored 15 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Christopher C. Kloss's work include CAR-T cell therapy research (9 papers), Immunotherapy and Immune Responses (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Christopher C. Kloss is often cited by papers focused on CAR-T cell therapy research (9 papers), Immunotherapy and Immune Responses (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Christopher C. Kloss collaborates with scholars based in United States, Germany and Australia. Christopher C. Kloss's co-authors include Michel Sadelain, Maud Condomines, Marc Cartellieri, Michael Bachmann, Fabiana Perna, Gertrude Gunset, Sjoukje J. C. van der Stegen, Jason Plotkin, Zeguo Zhao and Carl H. June and has published in prestigious journals such as Nature Communications, Blood and Nature Biotechnology.

In The Last Decade

Christopher C. Kloss

15 papers receiving 2.6k citations

Hit Papers

Combinatorial antigen recognition with balanced signaling... 2012 2026 2016 2021 2012 2015 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher C. Kloss United States 11 2.2k 932 925 820 679 15 2.6k
Valentina Hoyos United States 19 2.1k 1.0× 838 0.9× 1.0k 1.1× 667 0.8× 782 1.2× 35 2.6k
Rachel C. Lynn United States 16 2.4k 1.1× 938 1.0× 1.4k 1.6× 698 0.9× 634 0.9× 30 3.2k
Olga Dakhova United States 24 2.4k 1.1× 1.1k 1.2× 914 1.0× 712 0.9× 822 1.2× 40 3.1k
Sarwish Rafiq United States 15 2.2k 1.0× 916 1.0× 1.1k 1.2× 767 0.9× 537 0.8× 34 2.8k
Yvonne Y. Chen United States 22 2.1k 1.0× 1.3k 1.4× 875 0.9× 905 1.1× 635 0.9× 39 3.0k
Jorge Mansilla‐Soto United States 17 2.1k 1.0× 1.6k 1.7× 1.0k 1.1× 695 0.8× 873 1.3× 33 3.4k
Jason Plotkin United States 8 1.6k 0.7× 603 0.6× 778 0.8× 569 0.7× 499 0.7× 8 2.0k
Laurent Poirot France 22 2.0k 0.9× 1.4k 1.5× 1.1k 1.2× 718 0.9× 1.1k 1.7× 46 3.2k
Elena Sotillo United States 22 1.6k 0.7× 980 1.1× 588 0.6× 491 0.6× 396 0.6× 45 2.3k
Andrea Schmidts United States 15 1.3k 0.6× 762 0.8× 520 0.6× 542 0.7× 446 0.7× 30 1.8k

Countries citing papers authored by Christopher C. Kloss

Since Specialization
Citations

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

Fields of papers citing papers by Christopher C. Kloss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C. Kloss. 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 Christopher C. Kloss. The network helps show where Christopher C. Kloss may publish in the future.

Co-authorship network of co-authors of Christopher C. Kloss

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

All Works

15 of 15 papers shown
1.
Ramalingam, Pradeep, Michael G. Poulos, Elisa Lazzari, et al.. (2020). Chronic activation of endothelial MAPK disrupts hematopoiesis via NFKB dependent inflammatory stress reversible by SCGF. Nature Communications. 11(1). 666–666. 54 indexed citations
2.
Kloss, Christopher C., Ji‐Hyun Lee, Aaron Zhang, et al.. (2018). Dominant-Negative TGF-β Receptor Enhances PSMA-Targeted Human CAR T Cell Proliferation And Augments Prostate Cancer Eradication. Molecular Therapy. 26(7). 1855–1866. 478 indexed citations breakdown →
3.
Castellarin, Mauro, Keisuke Watanabe, Carl H. June, Christopher C. Kloss, & Avery D. Posey. (2018). Driving cars to the clinic for solid tumors. Gene Therapy. 25(3). 165–175. 65 indexed citations
4.
Kloss, Christopher C., Ji‐Hyun Lee, & Carl H. June. (2016). 638. TGFBeta Signaling Blockade within PSMA Targeted CAR Human T Cells for the Eradication of Metastatic Prostate Cancer. Molecular Therapy. 24. S252–S253. 4 indexed citations
5.
Zhao, Zeguo, Maud Condomines, Sjoukje J. C. van der Stegen, et al.. (2015). Structural Design of Engineered Costimulation Determines Tumor Rejection Kinetics and Persistence of CAR T Cells. Cancer Cell. 28(4). 415–428. 637 indexed citations breakdown →
6.
Wertheimer, Tobias, Enrico Velardi, Christian Brede, et al.. (2015). Production of BMP4 By Endothelial Cells Is Crucial for Endogenous Thymic Regeneration. Blood. 126(23). 637–637. 5 indexed citations
7.
Fedorov, V D, Michel Sadelain, & Christopher C. Kloss. (2014). Novel Approaches to Enhance the Specificity and Safety of Engineered T Cells. The Cancer Journal. 20(2). 160–165. 31 indexed citations
8.
Poulos, Michael G., Eric J. Gars, Michael Gutkin, et al.. (2014). Activation of the vascular niche supports leukemic progression and resistance to chemotherapy. Experimental Hematology. 42(11). 976–986.e3. 48 indexed citations
9.
Themeli, Maria, Christopher C. Kloss, Giovanni Ciriello, et al.. (2013). Generation of tumor-targeted human T lymphocytes from induced pluripotent stem cells for cancer therapy. Nature Biotechnology. 31(10). 928–933. 358 indexed citations
10.
Davila, Marco L., Christopher C. Kloss, Gertrude Gunset, & Michel Sadelain. (2013). CD19 CAR-Targeted T Cells Induce Long-Term Remission and B Cell Aplasia in an Immunocompetent Mouse Model of B Cell Acute Lymphoblastic Leukemia. PLoS ONE. 8(4). e61338–e61338. 137 indexed citations
11.
Kloss, Christopher C., Maud Condomines, Marc Cartellieri, Michael Bachmann, & Michel Sadelain. (2012). Combinatorial antigen recognition with balanced signaling promotes selective tumor eradication by engineered T cells. Nature Biotechnology. 31(1). 71–75. 692 indexed citations breakdown →
12.
Rafii, Shahin, Christopher C. Kloss, Jason M. Butler, et al.. (2012). Human ESC-derived hemogenic endothelial cells undergo distinct waves of endothelial to hematopoietic transition. Blood. 121(5). 770–780. 71 indexed citations
13.
Ghosh, Arnab, Marco L. Davila, Lauren Young, et al.. (2012). CD19-Targeted Donor T Cells Exert Potent Graft Versus Lymphoma Activity and Attenuated Gvhd. Blood. 120(21). 451–451. 1 indexed citations
14.
James, Daylon, Qiansheng Zhan, Christopher C. Kloss, et al.. (2011). Lentiviral Transduction and Clonal Selection of hESCs with Endothelial‐Specific Transgenic Reporters. Current Protocols in Stem Cell Biology. 17(1). Unit1F.12–Unit1F.12. 8 indexed citations
15.
Kloss, Christopher C., et al.. (2010). A large-scale study of differential gene expression in monocyte-derived macrophages infected with several strains of Mycobacterium avium subspecies paratuberculosis. Briefings in Functional Genomics. 9(3). 220–237. 44 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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