Anna M. Keller

2.7k total citations · 2 hit papers
16 papers, 2.2k citations indexed

About

Anna M. Keller is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Anna M. Keller has authored 16 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 4 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Anna M. Keller's work include Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (10 papers) and Immune Cell Function and Interaction (8 papers). Anna M. Keller is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (10 papers) and Immune Cell Function and Interaction (8 papers). Anna M. Keller collaborates with scholars based in Netherlands, United Kingdom and United States. Anna M. Keller's co-authors include David Sancho, Caetano Reis e Sousa, Olivier Joffre, Jannie Borst, Neil C. Rogers, Santiago Zelenay, Ian Rosewell, Patricia Hernanz‐Falcón, Dolores Martínez and Yanling Xiao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Anna M. Keller

16 papers receiving 2.2k citations

Hit Papers

Identification of a dendritic cell receptor that couples ... 2009 2026 2014 2020 2009 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna M. Keller Netherlands 14 1.9k 554 497 197 80 16 2.2k
Selin Somersan United States 11 1.8k 0.9× 633 1.1× 415 0.8× 171 0.9× 108 1.4× 12 2.1k
Rhys S. Allan Australia 19 1.9k 1.0× 752 1.4× 281 0.6× 294 1.5× 120 1.5× 32 2.5k
Bettina Ernst United States 15 2.0k 1.0× 471 0.9× 423 0.9× 182 0.9× 132 1.6× 18 2.5k
Woong‐Kyung Suh Canada 23 1.2k 0.7× 573 1.0× 505 1.0× 169 0.9× 92 1.1× 41 1.8k
Belinda Palermo Italy 20 1.4k 0.7× 304 0.5× 705 1.4× 100 0.5× 73 0.9× 42 1.9k
Janet E. Buhlmann United States 13 1.4k 0.8× 342 0.6× 473 1.0× 126 0.6× 144 1.8× 21 2.0k
Jean‐Michel Bridon France 9 1.6k 0.8× 385 0.7× 469 0.9× 144 0.7× 71 0.9× 10 2.0k
Naoko Aoki Japan 28 1.2k 0.6× 510 0.9× 569 1.1× 152 0.8× 61 0.8× 70 1.8k
James R. Carlyle Canada 31 3.2k 1.7× 572 1.0× 660 1.3× 335 1.7× 102 1.3× 63 3.6k
Annamalai Selvakumar United States 23 1.7k 0.9× 343 0.6× 487 1.0× 137 0.7× 99 1.2× 56 2.0k

Countries citing papers authored by Anna M. Keller

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna M. Keller

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

All Works

16 of 16 papers shown
1.
Lokhande, Giriraj, Kanwar Abhay Singh, Shounak Roy, et al.. (2025). Nanosilicates promote angiogenesis through activation of ROS-mediated WNT/β-catenin pathway. Science Advances. 11(27). eado1223–eado1223. 1 indexed citations
2.
Zelenay, Santiago, Anna M. Keller, Paul G. Whitney, et al.. (2012). The dendritic cell receptor DNGR-1 controls endocytic handling of necrotic cell antigens to favor cross-priming of CTLs in virus-infected mice. Journal of Clinical Investigation. 122(5). 1615–1627. 205 indexed citations
3.
Joffre, Olivier, David Sancho, Santiago Zelenay, Anna M. Keller, & Caetano Reis e Sousa. (2010). Efficient and versatile manipulation of the peripheral CD4+ T‐cell compartment by antigen targeting to DNGR‐1/CLEC9A. European Journal of Immunology. 40(5). 1255–1265. 117 indexed citations
4.
Lutgens, Esther, Dirk Lievens, Linda Beckers, et al.. (2010). Deficient CD40-TRAF6 signaling in leukocytes prevents atherosclerosis by skewing the immune response toward an antiinflammatory profile. The Journal of Experimental Medicine. 207(2). 391–404. 197 indexed citations
5.
Poulin, Lionel Franz, Mariolina Salio, Emmanuel Griessinger, et al.. (2010). Characterization of human DNGR-1+ BDCA3+ leukocytes as putative equivalents of mouse CD8α+ dendritic cells. The Journal of Experimental Medicine. 207(6). 1261–1271. 531 indexed citations breakdown →
6.
Peperzak, Victor, Elise A. M. Veraar, Anna M. Keller, Yanling Xiao, & Jannie Borst. (2010). The Pim Kinase Pathway Contributes to Survival Signaling in Primed CD8+ T Cells upon CD27 Costimulation. The Journal of Immunology. 185(11). 6670–6678. 70 indexed citations
7.
Zwart, Wilbert, Victor Peperzak, Evert de Vries, et al.. (2010). The invariant chain transports TNF family member CD70 to MHC class II compartments in dendritic cells. Journal of Cell Science. 123(21). 3817–3827. 21 indexed citations
8.
Sancho, David, Olivier Joffre, Anna M. Keller, et al.. (2009). Identification of a dendritic cell receptor that couples sensing of necrosis to immunity. Nature. 458(7240). 899–903. 561 indexed citations breakdown →
9.
Keller, Anna M., Yanling Xiao, Victor Peperzak, Shalin H. Naik, & Jannie Borst. (2009). Costimulatory ligand CD70 allows induction of CD8+ T-cell immunity by immature dendritic cells in a vaccination setting. Blood. 113(21). 5167–5175. 54 indexed citations
10.
Xiao, Yanling, Victor Peperzak, Anna M. Keller, & Jannie Borst. (2008). CD27 Instructs CD4+ T Cells to Provide Help for the Memory CD8+ T Cell Response after Protein Immunization. The Journal of Immunology. 181(2). 1071–1082. 66 indexed citations
11.
Keller, Anna M., Anita Schildknecht, Yanling Xiao, Maries van den Broek, & Jannie Borst. (2008). Expression of Costimulatory Ligand CD70 on Steady-State Dendritic Cells Breaks CD8+ T Cell Tolerance and Permits Effective Immunity. Immunity. 29(6). 934–946. 128 indexed citations
12.
Tait, Stephen W. G., Evert de Vries, Chiel Maas, et al.. (2007). Apoptosis induction by Bid requires unconventional ubiquitination and degradation of its N-terminal fragment. The Journal of Cell Biology. 179(7). 1453–1466. 97 indexed citations
13.
Keller, Anna M., Tom A. Groothuis, Elise A. M. Veraar, et al.. (2007). Costimulatory ligand CD70 is delivered to the immunological synapse by shared intracellular trafficking with MHC class II molecules. Proceedings of the National Academy of Sciences. 104(14). 5989–5994. 53 indexed citations
14.
Overwijk, Willem W., Karin E. de Visser, Felicia H. Tirion, et al.. (2006). Immunological and Antitumor Effects of IL-23 as a Cancer Vaccine Adjuvant. The Journal of Immunology. 176(9). 5213–5222. 67 indexed citations
15.
Keller, Anna M. & Jannie Borst. (2006). Control of Peripheral T Cell Survival: A Delicate Division of Labor between Cytokines and Costimulatory Molecules. Human Immunology. 67(6). 469–477. 7 indexed citations
16.
Guilbault, Claudine, Peter Stotland, Claude Lachance, et al.. (2002). Influence of gender and interleukin‐10 deficiency on the inflammatory response during lung infection with Pseudomonas aeruginosa in mice. Immunology. 107(3). 297–305. 48 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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