Alon Oyler‐Yaniv

794 total citations · 1 hit paper
8 papers, 564 citations indexed

About

Alon Oyler‐Yaniv is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Alon Oyler‐Yaniv has authored 8 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Alon Oyler‐Yaniv's work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). Alon Oyler‐Yaniv is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). Alon Oyler‐Yaniv collaborates with scholars based in United States, Israel and France. Alon Oyler‐Yaniv's co-authors include Morgan Huse, Benjamin M. Whitlock, Audrey Le Floc’h, Judy Lieberman, Lance C. Kam, Roshni Basu, Farokh Dotiwala, Jennifer E. Oyler, Weiyang Jin and Julien Husson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Alon Oyler‐Yaniv

8 papers receiving 560 citations

Hit Papers

Cytotoxic T Cells Use Mec... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alon Oyler‐Yaniv United States 6 303 155 153 151 94 8 564
Kaitao Li United States 12 227 0.7× 129 0.8× 151 1.0× 139 0.9× 73 0.8× 14 524
Anne Reversat Austria 8 365 1.2× 85 0.5× 205 1.3× 303 2.0× 102 1.1× 9 763
Edward Judokusumo United States 4 254 0.8× 116 0.7× 83 0.5× 155 1.0× 58 0.6× 4 424
Alexander Leithner Austria 10 299 1.0× 298 1.9× 216 1.4× 216 1.4× 108 1.1× 12 751
Rakieb Andargachew United States 11 460 1.5× 130 0.8× 123 0.8× 116 0.8× 61 0.6× 13 684
Miroslav Hons Switzerland 13 461 1.5× 143 0.9× 173 1.1× 218 1.4× 97 1.0× 14 796
Jinsung Hong United States 9 299 1.0× 110 0.7× 122 0.8× 195 1.3× 57 0.6× 10 559
Sophie V. Pageon Australia 9 411 1.4× 113 0.7× 218 1.4× 91 0.6× 79 0.8× 16 727
Christian M. Gawden‐Bone United Kingdom 11 304 1.0× 102 0.7× 197 1.3× 170 1.1× 31 0.3× 12 618
Alex T. Ritter United States 11 381 1.3× 156 1.0× 306 2.0× 176 1.2× 43 0.5× 12 749

Countries citing papers authored by Alon Oyler‐Yaniv

Since Specialization
Citations

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

Fields of papers citing papers by Alon Oyler‐Yaniv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alon Oyler‐Yaniv. 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 Alon Oyler‐Yaniv. The network helps show where Alon Oyler‐Yaniv may publish in the future.

Co-authorship network of co-authors of Alon Oyler‐Yaniv

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

All Works

8 of 8 papers shown
1.
Oyler‐Yaniv, Alon, et al.. (2025). Deep learning–based image classification reveals heterogeneous execution of cell death fates during viral infection. Molecular Biology of the Cell. 36(3). ar29–ar29. 2 indexed citations
2.
Krichevsky, Oleg, et al.. (2023). The spread of interferon-γ in melanomas is highly spatially confined, driving nongenetic variability in tumor cells. Proceedings of the National Academy of Sciences. 120(35). e2304190120–e2304190120. 12 indexed citations
3.
Oyler, Jennifer E., et al.. (2021). TNF controls a speed-accuracy tradeoff in the cell death decision to restrict viral spread. Nature Communications. 12(1). 2992–2992. 15 indexed citations
4.
Ziegler, Carly G.K., Alon Oyler‐Yaniv, Kimon V. Argyropoulos, et al.. (2019). Constitutive Activation of the B Cell Receptor Underlies Dysfunctional Signaling in Chronic Lymphocytic Leukemia. Cell Reports. 28(4). 923–937.e3. 21 indexed citations
5.
Oyler‐Yaniv, Alon & Oleg Krichevsky. (2018). Imaging Cytokine Concentration Fields Using PlaneView Imaging Devices. BIO-PROTOCOL. 8(7). e2788–e2788. 1 indexed citations
6.
Oyler, Jennifer E., Alon Oyler‐Yaniv, Mojdeh Shakiba, et al.. (2017). Catch and Release of Cytokines Mediated by Tumor Phosphatidylserine Converts Transient Exposure into Long-Lived Inflammation. Molecular Cell. 66(5). 635–647.e7. 33 indexed citations
7.
Oyler‐Yaniv, Alon, Jennifer E. Oyler, Benjamin M. Whitlock, et al.. (2017). A Tunable Diffusion-Consumption Mechanism of Cytokine Propagation Enables Plasticity in Cell-to-Cell Communication in the Immune System. Immunity. 46(4). 609–620. 135 indexed citations
8.
Basu, Roshni, Benjamin M. Whitlock, Julien Husson, et al.. (2016). Cytotoxic T Cells Use Mechanical Force to Potentiate Target Cell Killing. Cell. 165(1). 100–110. 345 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026