Michael C. Kann

1.4k total citations · 1 hit paper
17 papers, 625 citations indexed

About

Michael C. Kann is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Michael C. Kann has authored 17 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 9 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Michael C. Kann's work include CAR-T cell therapy research (16 papers), CRISPR and Genetic Engineering (5 papers) and Virus-based gene therapy research (4 papers). Michael C. Kann is often cited by papers focused on CAR-T cell therapy research (16 papers), CRISPR and Genetic Engineering (5 papers) and Virus-based gene therapy research (4 papers). Michael C. Kann collaborates with scholars based in United States and United Kingdom. Michael C. Kann's co-authors include Marcela V. Maus, Amanda A. Bouffard, Rebecca C. Larson, Andrea Schmidts, Irene Scarfò, Max Jan, Mark B. Leick, Stefanie R. Bailey, Korneel Grauwet and Trisha R. Berger and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Michael C. Kann

17 papers receiving 616 citations

Hit Papers

CAR T cell killing requires the IFNγR pathway in solid bu... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Kann United States 9 484 231 202 182 162 17 625
Andreas Loew Germany 8 442 0.9× 301 1.3× 134 0.7× 232 1.3× 107 0.7× 24 690
Katrin Mestermann Germany 4 430 0.9× 161 0.7× 149 0.7× 178 1.0× 139 0.9× 11 493
Claudia Geldres United States 6 447 0.9× 158 0.7× 162 0.8× 179 1.0× 124 0.8× 8 489
Ashwini Balakrishnan United States 5 347 0.7× 202 0.9× 114 0.6× 116 0.6× 91 0.6× 7 448
Paris Kosti United Kingdom 7 395 0.8× 185 0.8× 232 1.1× 135 0.7× 95 0.6× 9 509
Sanaz Taromi Germany 9 305 0.6× 156 0.7× 139 0.7× 77 0.4× 62 0.4× 13 422
Tobias Riët Germany 9 375 0.8× 121 0.5× 217 1.1× 141 0.8× 106 0.7× 12 490
Renée Poels Netherlands 9 517 1.1× 206 0.9× 211 1.0× 180 1.0× 117 0.7× 13 585
Megha Sarvothama United States 3 412 0.9× 148 0.6× 179 0.9× 182 1.0× 95 0.6× 3 490
Mihe Hong United States 5 364 0.8× 197 0.9× 185 0.9× 169 0.9× 103 0.6× 5 523

Countries citing papers authored by Michael C. Kann

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Kann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Kann

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

All Works

17 of 17 papers shown
1.
Grauwet, Korneel, Trisha R. Berger, Michael C. Kann, et al.. (2024). Stealth transgenes enable CAR-T cells to evade host immune responses. Journal for ImmunoTherapy of Cancer. 12(5). e008417–e008417. 8 indexed citations
2.
Korell, Felix, Michael Olson, Diego Salas‐Benito, et al.. (2024). Comparative analysis of Bcl-2 family protein overexpression in CAR T cells alone and in combination with BH3 mimetics. Science Translational Medicine. 16(750). eadk7640–eadk7640. 14 indexed citations
3.
Silva, Harrison, Marc Wehrli, Michael C. Kann, et al.. (2024). CD70 CAR T cells secreting an anti-CD33/anti-CD3 dual-targeting antibody overcome antigen heterogeneity in AML. Blood. 145(7). 720–731. 11 indexed citations
4.
Larson, Rebecca C., Michael C. Kann, Charlotte Graham, et al.. (2023). Anti-TACI single and dual-targeting CAR T cells overcome BCMA antigen loss in multiple myeloma. Nature Communications. 14(1). 7509–7509. 23 indexed citations
5.
Kann, Michael C., Emily M. Schneider, Amanda A. Bouffard, et al.. (2023). Chemical genetic control of cytokine signaling in CAR-T cells using lenalidomide-controlled membrane-bound degradable IL-7. Leukemia. 38(3). 590–600. 4 indexed citations
6.
Kembuan, Gabriele, Michael C. Kann, William M. Lin, et al.. (2023). Genetic retargeting of E3 ligases to enhance CAR T cell therapy. Cell chemical biology. 31(2). 338–348.e5. 7 indexed citations
7.
Korell, Felix, Michael Olson, Diego Salas‐Benito, et al.. (2023). Abstract 4098: Chimeric antigen receptor (CAR) T cells overexpressing Bcl-xL increase proliferation and antitumor activity alone and in combination with BH3 mimetics. Cancer Research. 83(7_Supplement). 4098–4098. 3 indexed citations
8.
Larson, Rebecca C., Michael C. Kann, Stefanie R. Bailey, et al.. (2022). CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours. Nature. 604(7906). 563–570. 225 indexed citations breakdown →
9.
Leick, Mark B., Harrison Silva, Irene Scarfò, et al.. (2022). Non-cleavable hinge enhances avidity and expansion of CAR-T cells for acute myeloid leukemia. Cancer Cell. 40(5). 494–508.e5. 88 indexed citations
10.
Larson, Rebecca C., Ana P. Castaño, Amanda A. Bouffard, et al.. (2022). Abstract 556: Novel anti-TACI single and dual-targeting CAR T cells overcome BCMA antigen loss in multiple myeloma. Cancer Research. 82(12_Supplement). 556–556. 3 indexed citations
11.
Jan, Max, Irene Scarfò, Rebecca C. Larson, et al.. (2021). Reversible ON- and OFF-switch chimeric antigen receptors controlled by lenalidomide. Science Translational Medicine. 13(575). 180 indexed citations
12.
Scarfò, Irene, Kathleen Gallagher, Mark B. Leick, et al.. (2021). Effects of Prior Exposure to Tec Kinase(BTK/ITK) Inhibitors on Kte-X19 Products. Blood. 138(Supplement 1). 3849–3849. 3 indexed citations
13.
Leick, Mark B., Harrison Silva, Irene Scarfò, et al.. (2021). Rational Chemical and Genetic Modifications Enhance Avidity and Function of CD70-Directed CAR-T-Cells for Myeloid Leukemia. Blood. 138(Supplement 1). 405–405. 4 indexed citations
14.
Schmidts, Andrea, Amanda A. Bouffard, Angela C. Boroughs, et al.. (2020). Cell-based artificial APC resistant to lentiviral transduction for efficient generation of CAR-T cells from various cell sources. Journal for ImmunoTherapy of Cancer. 8(2). e000990–e000990. 18 indexed citations
15.
Larson, Rebecca C., Ana P. Castaño, Amanda A. Bouffard, et al.. (2020). Bispecific CAR T cells for multiple myeloma: natural ligand compared to tandem scFv design. The Journal of Immunology. 204(1_Supplement). 246.3–246.3. 3 indexed citations
16.
Bailey, Stefanie R., Amanda A. Bouffard, Rebecca C. Larson, et al.. (2020). 767 Interferon gamma reduces CAR-T exhaustion and toxicity without compromising therapeutic efficacy in hematologic malignancies. SHILAP Revista de lepidopterología. A459.2–A459. 1 indexed citations
17.
Bashir, Yaver, Michael C. Kann, & John Stradling. (1990). The effect of acetazolamide on hypercapnic and eucapnic/poikilocapnic hypoxic ventilatory responses in normal subjects. Pulmonary Pharmacology. 3(3). 151–154. 30 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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