Nicole M. Kretzer

4.1k total citations
15 papers, 2.2k citations indexed

About

Nicole M. Kretzer is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Nicole M. Kretzer has authored 15 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Nicole M. Kretzer's work include Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (3 papers). Nicole M. Kretzer is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (3 papers). Nicole M. Kretzer collaborates with scholars based in United States, Switzerland and Germany. Nicole M. Kretzer's co-authors include Kenneth M. Murphy, Theresa L. Murphy, Xiaodi Wu, Wumesh KC, Carlos G. Briseño, Arifumi Iwata, Gary E. Grajales‐Reyes, Roxane Tussiwand, Jörn C. Albring and Ansuman T. Satpathy and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nicole M. Kretzer

15 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole M. Kretzer United States 13 1.8k 480 321 161 137 15 2.2k
Carlos G. Briseño United States 23 2.2k 1.2× 665 1.4× 676 2.1× 159 1.0× 131 1.0× 28 2.7k
Mahyar Nouri‐Shirazi United States 16 1.3k 0.7× 543 1.1× 476 1.5× 133 0.8× 108 0.8× 26 1.9k
Dimitris Skokos United States 18 1.5k 0.8× 700 1.5× 335 1.0× 137 0.9× 92 0.7× 28 2.2k
Ryo Shinnakasu Japan 21 1.6k 0.9× 473 1.0× 319 1.0× 191 1.2× 182 1.3× 29 2.1k
Kai-Hui Yao United States 9 2.0k 1.1× 376 0.8× 276 0.9× 68 0.4× 123 0.9× 12 2.3k
Jennifer Freyer Germany 5 2.0k 1.1× 435 0.9× 360 1.1× 93 0.6× 131 1.0× 7 2.4k
Malay Haldar United States 16 963 0.5× 788 1.6× 245 0.8× 174 1.1× 91 0.7× 20 1.8k
Jesse A. Green United States 8 1.4k 0.8× 405 0.8× 233 0.7× 86 0.5× 107 0.8× 11 1.8k
Ivana M. Djuretic United States 16 1.7k 1.0× 500 1.0× 573 1.8× 212 1.3× 141 1.0× 27 2.3k
Guillaume Darrasse-Jèze France 15 2.2k 1.2× 326 0.7× 404 1.3× 65 0.4× 130 0.9× 24 2.5k

Countries citing papers authored by Nicole M. Kretzer

Since Specialization
Citations

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

Fields of papers citing papers by Nicole M. Kretzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole M. Kretzer

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole M. Kretzer. A scholar is included among the top collaborators of Nicole M. Kretzer 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 Nicole M. Kretzer. Nicole M. Kretzer 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.
Bowman-Kirigin, Jay A., Rupen Desai, Brian T. Saunders, et al.. (2022). The Conventional Dendritic Cell 1 Subset Primes CD8+ T Cells and Traffics Tumor Antigen to Drive Antitumor Immunity in the Brain. Cancer Immunology Research. 11(1). 20–37. 24 indexed citations
2.
Coleman, Michelle M., Tsung-Yen Wu, Sean Merillat, et al.. (2020). A Broad Spectrum Chemokine Inhibitor Prevents Preterm Labor but Not Microbial Invasion of the Amniotic Cavity or Neonatal Morbidity in a Non-human Primate Model. Frontiers in Immunology. 11. 770–770. 26 indexed citations
3.
Armistead, Blair, Michelle M. Coleman, Brian Johnson, et al.. (2020). MicroRNA Signature of Epithelial-Mesenchymal Transition in Group B Streptococcal Infection of the Placental Chorioamniotic Membranes. The Journal of Infectious Diseases. 222(10). 1713–1722. 8 indexed citations
4.
Tussiwand, Roxane, Michael S. Behnke, Nicole M. Kretzer, et al.. (2020). An Important Role for CD4 + T Cells in Adaptive Immunity to Toxoplasma gondii in Mice Lacking the Transcription Factor Batf3. mSphere. 5(4). 9 indexed citations
5.
Theisen, Derek J., Stephen T. Ferris, Carlos G. Briseño, et al.. (2018). Batf3-Dependent Genes Control Tumor Rejection Induced by Dendritic Cells Independently of Cross-Presentation. Cancer Immunology Research. 7(1). 29–39. 47 indexed citations
6.
Murphy, Theresa L., Gary E. Grajales‐Reyes, Xiaodi Wu, et al.. (2016). Transcriptional Control of Dendritic Cell Development. Annual Review of Immunology. 34(1). 93–119. 346 indexed citations
7.
Kretzer, Nicole M., Derek J. Theisen, Roxane Tussiwand, et al.. (2016). RAB43 facilitates cross-presentation of cell-associated antigens by CD8α+ dendritic cells. The Journal of Experimental Medicine. 213(13). 2871–2883. 63 indexed citations
8.
Wu, Xiaodi, Carlos G. Briseño, Gary E. Grajales‐Reyes, et al.. (2016). Transcription factor Zeb2 regulates commitment to plasmacytoid dendritic cell and monocyte fate. Proceedings of the National Academy of Sciences. 113(51). 14775–14780. 64 indexed citations
9.
Briseño, Carlos G., Malay Haldar, Nicole M. Kretzer, et al.. (2016). Distinct Transcriptional Programs Control Cross-Priming in Classical and Monocyte-Derived Dendritic Cells. Cell Reports. 15(11). 2462–2474. 152 indexed citations
10.
Grajales‐Reyes, Gary E., Arifumi Iwata, Jörn C. Albring, et al.. (2015). Batf3 maintains autoactivation of Irf8 for commitment of a CD8α+ conventional DC clonogenic progenitor. Nature Immunology. 16(7). 708–717. 269 indexed citations
11.
Tussiwand, Roxane, Bart Everts, Gary E. Grajales‐Reyes, et al.. (2015). Klf4 Expression in Conventional Dendritic Cells Is Required for T Helper 2 Cell Responses. Immunity. 42(5). 916–928. 309 indexed citations
12.
Haldar, Malay, Masako Kohyama, Alex Yick‐Lun So, et al.. (2014). Heme-Mediated SPI-C Induction Promotes Monocyte Differentiation into Iron-Recycling Macrophages. Cell. 156(6). 1223–1234. 318 indexed citations
13.
KC, Wumesh, Ansuman T. Satpathy, Aaron S. Rapaport, et al.. (2014). L-Myc expression by dendritic cells is required for optimal T-cell priming. Nature. 507(7491). 243–247. 62 indexed citations
14.
Satpathy, Ansuman T., Wumesh KC, Jörn C. Albring, et al.. (2012). Zbtb46 expression distinguishes classical dendritic cells and their committed progenitors from other immune lineages. The Journal of Experimental Medicine. 209(6). 1135–1152. 458 indexed citations
15.
Kretzer, Nicole M., Milu T. Cherian, Chengjian Mao, et al.. (2010). A Noncompetitive Small Molecule Inhibitor of Estrogen-regulated Gene Expression and Breast Cancer Cell Growth That Enhances Proteasome-dependent Degradation of Estrogen Receptor α. Journal of Biological Chemistry. 285(53). 41863–41873. 18 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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