David M. Kranz

15.3k total citations · 5 hit papers
197 papers, 11.8k citations indexed

About

David M. Kranz is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, David M. Kranz has authored 197 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Immunology, 95 papers in Radiology, Nuclear Medicine and Imaging and 68 papers in Oncology. Recurrent topics in David M. Kranz's work include T-cell and B-cell Immunology (110 papers), Monoclonal and Polyclonal Antibodies Research (95 papers) and Immune Cell Function and Interaction (82 papers). David M. Kranz is often cited by papers focused on T-cell and B-cell Immunology (110 papers), Monoclonal and Polyclonal Antibodies Research (95 papers) and Immune Cell Function and Interaction (82 papers). David M. Kranz collaborates with scholars based in United States, Italy and Canada. David M. Kranz's co-authors include Herman N. Eisen, Phillip D. Holler, Susumu Tonegawa, Jennifer D. Stone, Haruo Saito, Yohtaroh Takagaki, K. Dane Wittrup, Edward W. Voss, Adrian Hayday and Daniel T. Harris and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David M. Kranz

194 papers receiving 11.4k citations

Hit Papers

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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.

Host type I IFN signals are required for antitumor CD8+ T cell responses through CD8α+ dendritic cells

2011 937 citations David M. Kranz et al. profile →
Positive and negative selection of an antigen receptor on T cells in transgenic mice

1988 649 citations David M. Kranz et al. profile →
Complete primary structure of a heterodimeric T-cell receptor deduced from cDNA sequences

1984 548 citations David M. Kranz, Herman N. Eisen et al. profile →
A third rearranged and expressed gene in a clone of cytotoxic T lymphocytes

1984 441 citations David M. Kranz, Herman N. Eisen et al. profile →
Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2

2020 389 citations Kui K. Chan, Danielle E. Dorosky et al. Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David M. Kranz	7.9k	4.2k	3.6k	3.5k	889	197	11.8k
Gerd Ritter	9.2k 1.2×	5.4k 1.3×	5.6k 1.5×	1.8k 0.5×	812 0.9×	182	14.2k
Olivera J. Finn	8.3k 1.1×	5.1k 1.2×	6.2k 1.7×	2.6k 0.7×	931 1.0×	224	12.9k
Karl Erik Hellström	6.5k 0.8×	3.8k 0.9×	3.1k 0.9×	2.2k 0.6×	1.1k 1.2×	172	11.8k
Özlem Türeci	7.4k 0.9×	4.4k 1.1×	8.7k 2.4×	1.5k 0.4×	1.7k 1.9×	181	15.0k
P. Anton van der Merwe	7.9k 1.0×	2.3k 0.5×	3.6k 1.0×	2.2k 0.6×	490 0.6×	141	12.0k
Roy A. Mariuzza	7.1k 0.9×	1.3k 0.3×	5.8k 1.6×	4.0k 1.1×	579 0.7×	229	13.7k
Ingegerd Hellström	8.5k 1.1×	5.3k 1.3×	5.6k 1.6×	4.6k 1.3×	1.7k 1.9×	293	18.0k
Ellen S. Vitetta	6.9k 0.9×	1.9k 0.5×	3.7k 1.0×	3.3k 1.0×	564 0.6×	250	11.4k
Ferry Ossendorp	9.3k 1.2×	3.8k 0.9×	5.2k 1.5×	1.0k 0.3×	1.1k 1.2×	228	13.7k
Esteban Celis	13.5k 1.7×	8.6k 2.0×	5.4k 1.5×	1.3k 0.4×	918 1.0×	205	18.7k

Countries citing papers authored by David M. Kranz

Since Specialization

Citations

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

Fields of papers citing papers by David M. Kranz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Kranz. 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 David M. Kranz. The network helps show where David M. Kranz may publish in the future.

Co-authorship network of co-authors of David M. Kranz

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

All Works

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20 of 20 papers shown

Rañoa, Diana Rose E., Preeti Sharma, Marlies V. Hager, et al.. (2023). Single CAR-T cell treatment controls disseminated ovarian cancer in a syngeneic mouse model. Journal for ImmunoTherapy of Cancer. 11(5). e006509–e006509. 10 indexed citations

Chan, Kui K., Danielle E. Dorosky, Preeti Sharma, et al.. (2020). Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2. Science. 369(6508). 1261–1265. 389 indexed citations breakdown →

Sharma, Preeti, Daniel T. Harris, Jennifer D. Stone, & David M. Kranz. (2019). T-cell Receptors Engineered De Novo for Peptide Specificity Can Mediate Optimal T-cell Activity without Self Cross-Reactivity. Cancer Immunology Research. 7(12). 2025–2035. 9 indexed citations

Anderson, Scott, et al.. (2018). High-Throughput Stability Screening of Neoantigen/HLA Complexes Improves Immunogenicity Predictions. Cancer Immunology Research. 7(1). 50–61. 35 indexed citations

Chervin, Adam S., et al.. (2015). Studies of the TLR4-associated protein MD-2 using yeast-display and mutational analyses. Molecular Immunology. 68(2). 203–212. 2 indexed citations

Gibbs, James S., Heather D. Hickman, Alexandre David, et al.. (2012). Endogenous viral antigen processing generates peptide-specific MHC class I cell-surface clusters. Proceedings of the National Academy of Sciences. 109(38). 15407–15412. 54 indexed citations

Stone, Jennifer D., Maxim N. Artyomov, Adam S. Chervin, et al.. (2011). Interaction of Streptavidin-Based Peptide-MHC Oligomers (Tetramers) with Cell-Surface T Cell Receptors. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

Adams, Jarrett, Samanthi Narayanan, Baoyu Liu, et al.. (2011). T Cell Receptor Signaling Is Limited by Docking Geometry to Peptide-Major Histocompatibility Complex. Immunity. 35(5). 681–693. 201 indexed citations

Chervin, Adam S., Jennifer D. Stone, Phillip D. Holler, et al.. (2009). The Impact of TCR-Binding Properties and Antigen Presentation Format on T Cell Responsiveness. The Journal of Immunology. 183(2). 1166–1178. 60 indexed citations

10.

Chervin, Adam S., Jennifer D. Stone, Natalie A. Bowerman, & David M. Kranz. (2009). Cutting Edge: Inhibitory Effects of CD4 and CD8 on T Cell Activation Induced by High-Affinity Noncognate Ligands. The Journal of Immunology. 183(12). 7639–7643. 10 indexed citations

11.

Zhang, Bin, Yi Zhang, Natalie A. Bowerman, et al.. (2008). Equilibrium between Host and Cancer Caused by Effector T Cells Killing Tumor Stroma. Cancer Research. 68(5). 1563–1571. 59 indexed citations

12.

Donermeyer, David L., K. Scott Weber, David M. Kranz, & Paul M. Allen. (2006). The Study of High-Affinity TCRs Reveals Duality in T Cell Recognition of Antigen: Specificity and Degeneracy. The Journal of Immunology. 177(10). 6911–6919. 37 indexed citations

13.

Dam, Julie, R. Guan, K. Natarajan, et al.. (2003). VARIABLE MHC CLASS I ENGAGEMENT BY LY49 NATURAL KILLER CELL RECEPTORS DEMONSTRATED BY THE CRYSTAL STRUCTURE OF LY49C BOUND TO H-2K(B). Langmuir. 20.

14.

Griffin, Matthew D., David K. Hong, Philmore O. Holman, et al.. (2000). Blockade of T Cell Activation Using a Surface-Linked Single-Chain Antibody to CTLA-4 (CD152). The Journal of Immunology. 164(9). 4433–4442. 62 indexed citations

15.

Roy, Edward J., et al.. (2000). IL-12 Treatment of Endogenously Arising Murine Brain Tumors. The Journal of Immunology. 165(12). 7293–7299. 30 indexed citations

16.

Roy, Edward J., Bryan K. Cho, Laurie A. Rund, Todd A. Patrick, & David M. Kranz. (1998). Targeting T cells against brain tumors with a bispecific ligand-antibody conjugate. International Journal of Cancer. 76(5). 761–766. 21 indexed citations

17.

Cho, Bryan K., Michele C. Kieke, Eric T. Boder, K. Dane Wittrup, & David M. Kranz. (1998). A yeast surface display system for the discovery of ligands that trigger cell activation. Journal of Immunological Methods. 220(1-2). 179–188. 22 indexed citations

18.

Schodin, Beth A., Theodore J. Tsomides, & David M. Kranz. (1996). Correlation Between the Number of T Cell Receptors Required for T Cell Activation and TCR–Ligand Affinity. Immunity. 5(2). 137–146. 91 indexed citations

19.

Kranz, David M., et al.. (1995). Properties of Bispecific Single Chain Antibodies Expressed in Escherichia coli. Journal of Hematotherapy. 4(5). 403–408. 9 indexed citations

20.

Kranz, David M., et al.. (1975). Alkaline phosphatases from clinical and non clinical strains of Serratia marcescens grown in two types of media. 14(58). 183–193. 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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