Paula L. Kosasih

2.4k total citations · 2 hit papers
11 papers, 1.9k citations indexed

About

Paula L. Kosasih is a scholar working on Oncology, Immunology and Biomedical Engineering. According to data from OpenAlex, Paula L. Kosasih has authored 11 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Immunology and 4 papers in Biomedical Engineering. Recurrent topics in Paula L. Kosasih's work include CAR-T cell therapy research (11 papers), Nanowire Synthesis and Applications (4 papers) and Immune Cell Function and Interaction (4 papers). Paula L. Kosasih is often cited by papers focused on CAR-T cell therapy research (11 papers), Nanowire Synthesis and Applications (4 papers) and Immune Cell Function and Interaction (4 papers). Paula L. Kosasih collaborates with scholars based in United States, Germany and Switzerland. Paula L. Kosasih's co-authors include Stanley R. Riddell, Daniel Sommermeyer, Michael Hudecek, Christoph Rader, Michael C. Jensen, Cameron J. Turtle, David G. Maloney, Tea Gogishvili, Maria Teresa Lupo Stanghellini and Lingfeng Liu and has published in prestigious journals such as Blood, Nature Biotechnology and Clinical Cancer Research.

In The Last Decade

Paula L. Kosasih

9 papers receiving 1.8k citations

Hit Papers

Chimeric antigen receptor-modified T cells derived from d... 2014 2026 2018 2022 2015 2014 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chimeric antigen receptor-modified T cells derived from defined CD8+ and CD4+ subsets confer superior antitumor reactivity in vivo
    2015 639 citations Daniel Sommermeyer, Michael Hudecek et al. Leukemia profile →
  2. The Nonsignaling Extracellular Spacer Domain of Chimeric Antigen Receptors Is Decisive for In Vivo Antitumor Activity
    2014 406 citations Michael Hudecek, Daniel Sommermeyer et al. Cancer Immunology Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula L. Kosasih United States 7 1.7k 692 671 594 491 11 1.9k
Gertrude Gunset United States 9 1.8k 1.1× 597 0.9× 585 0.9× 782 1.3× 576 1.2× 14 2.0k
Adrienne H. Long United States 7 1.7k 1.0× 553 0.8× 595 0.9× 753 1.3× 485 1.0× 13 1.9k
Jason Plotkin United States 8 1.6k 1.0× 603 0.9× 569 0.8× 778 1.3× 499 1.0× 8 2.0k
Waleed Haso United States 8 2.1k 1.2× 625 0.9× 776 1.2× 738 1.2× 648 1.3× 10 2.3k
Kheng Newick United States 14 1.9k 1.1× 819 1.2× 608 0.9× 897 1.5× 445 0.9× 15 2.4k
Zeguo Zhao United States 13 1.6k 0.9× 666 1.0× 546 0.8× 881 1.5× 478 1.0× 21 2.1k
Dayenne G. van Leeuwen United States 8 1.4k 0.8× 438 0.6× 502 0.7× 601 1.0× 444 0.9× 10 1.5k
Kelsey M. Wanhainen United States 10 1.7k 1.0× 551 0.8× 582 0.9× 776 1.3× 436 0.9× 14 1.9k
Amanda A. Bouffard United States 12 1.3k 0.8× 531 0.8× 496 0.7× 548 0.9× 404 0.8× 29 1.6k
Christopher C. Kloss United States 11 2.2k 1.3× 932 1.3× 820 1.2× 925 1.6× 679 1.4× 15 2.6k

Countries citing papers authored by Paula L. Kosasih

Since Specialization
Citations

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

Fields of papers citing papers by Paula L. Kosasih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula L. Kosasih. 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 Paula L. Kosasih. The network helps show where Paula L. Kosasih may publish in the future.

Co-authorship network of co-authors of Paula L. Kosasih

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

All Works

11 of 11 papers shown
1.
Balakrishnan, Ashwini, Anusha Rajan, Alexander I. Salter, et al.. (2019). Multispecific Targeting with Synthetic Ankyrin Repeat Motif Chimeric Antigen Receptors. Clinical Cancer Research. 25(24). 7506–7516. 48 indexed citations
2.
Balakrishnan, Ashwini, Tracy Goodpaster, Julie Randolph‐Habecker, et al.. (2016). Analysis of ROR1 Protein Expression in Human Cancer and Normal Tissues. Clinical Cancer Research. 23(12). 3061–3071. 151 indexed citations
3.
Liu, Lingfeng, Daniel Sommermeyer, Alexandra Cabanov, et al.. (2016). Inclusion of Strep-tag II in design of antigen receptors for T-cell immunotherapy. Nature Biotechnology. 34(4). 430–434. 54 indexed citations
4.
Sommermeyer, Daniel, Michael Hudecek, Paula L. Kosasih, et al.. (2015). Chimeric antigen receptor-modified T cells derived from defined CD8+ and CD4+ subsets confer superior antitumor reactivity in vivo. Leukemia. 30(2). 492–500. 639 indexed citations breakdown →
5.
Hudecek, Michael, Daniel Sommermeyer, Paula L. Kosasih, et al.. (2014). The Nonsignaling Extracellular Spacer Domain of Chimeric Antigen Receptors Is Decisive for In Vivo Antitumor Activity. Cancer Immunology Research. 3(2). 125–135. 406 indexed citations breakdown →
6.
Berger, Carolina, Daniel Sommermeyer, Michael Hudecek, et al.. (2014). Safety of Targeting ROR1 in Primates with Chimeric Antigen Receptor–Modified T Cells. Cancer Immunology Research. 3(2). 206–216. 139 indexed citations
7.
Sommermeyer, Daniel, Michael Hudecek, Michael Berger, et al.. (2014). Safety of targeting ROR1 for cancer immunotherapy with chimeric antigen receptor-modified T cells in a primate model. Journal for ImmunoTherapy of Cancer. 2(S3). 1 indexed citations
8.
Hudecek, Michael, Maria Teresa Lupo Stanghellini, Paula L. Kosasih, et al.. (2013). Receptor Affinity and Extracellular Domain Modifications Affect Tumor Recognition by ROR1-Specific Chimeric Antigen Receptor T Cells. Clinical Cancer Research. 19(12). 3153–3164. 424 indexed citations
9.
Hudecek, Michael, Paula L. Kosasih, Yvonne Y. Chen, et al.. (2012). The Non-Signaling Extracellular Spacer Domain of CD19-Specific Chimeric Antigen Receptors Is Decisive for in Vivo Anti-Tumor Activity. Blood. 120(21). 951–951. 2 indexed citations
10.
Hudecek, Michael, Jiahui Yang, Paula L. Kosasih, et al.. (2011). 5.53 The Anti-Tumor Reactivity of ROR1-CAR Modified T Cells Depends on the Targeted Epitope, CAR-Affinity and Design of the CAR Extracellular Domain. Clinical Lymphoma Myeloma & Leukemia. 11. S280–S281.
11.
Hudecek, Michael, Paula L. Kosasih, Paulina J. Paszkiewicz, et al.. (2011). Naive CD4+ T Cells Modified to Express a ROR1-Specific CAR Mediate Anti-Tumor Activity and Provide Superior Help to CD8+ ROR1-CAR T Cells. Blood. 118(21). 643–643.

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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