Moshe Biton

9.5k total citations · 1 hit paper
28 papers, 1.9k citations indexed

About

Moshe Biton is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Moshe Biton has authored 28 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Moshe Biton's work include Immune cells in cancer (6 papers), Extracellular vesicles in disease (5 papers) and Immune Cell Function and Interaction (5 papers). Moshe Biton is often cited by papers focused on Immune cells in cancer (6 papers), Extracellular vesicles in disease (5 papers) and Immune Cell Function and Interaction (5 papers). Moshe Biton collaborates with scholars based in Israel, United States and Germany. Moshe Biton's co-authors include E. Philip Horwitz, Ofer Mandelboim, Noam Stern‐Ginossar, Michal Mandelboim, Chamutal Gur, Moran Elboim, Noa Stanietsky, Yaël Altuvia, Albert Zimmermann and Naama Elefant and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Moshe Biton

24 papers receiving 1.9k citations

Hit Papers

Host Immune System Gene Targeting by a Viral miRNA 2007 2026 2013 2019 2007 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
Moshe Biton Israel 16 867 762 564 398 384 28 1.9k
Katherine A. Owen United States 17 670 0.8× 656 0.9× 546 1.0× 445 1.1× 196 0.5× 27 2.1k
Andreas Gewies Germany 18 785 0.9× 1.1k 1.5× 513 0.9× 352 0.9× 354 0.9× 31 2.3k
Olena Kamenyeva United States 20 815 0.9× 813 1.1× 214 0.4× 257 0.6× 329 0.9× 44 2.1k
Brian Skaug United States 14 1.4k 1.6× 1.4k 1.9× 525 0.9× 292 0.7× 326 0.8× 22 2.4k
Pengyan Xia China 24 1.7k 1.9× 955 1.3× 837 1.5× 367 0.9× 448 1.2× 33 2.7k
Dimitris Lagos United Kingdom 25 1.1k 1.2× 509 0.7× 668 1.2× 916 2.3× 502 1.3× 48 2.4k
Andrew L. Snow United States 28 747 0.9× 1.4k 1.8× 385 0.7× 901 2.3× 369 1.0× 63 2.5k
Joseph A. Westrich United States 13 478 0.6× 622 0.8× 345 0.6× 374 0.9× 345 0.9× 22 1.5k
Tara L. Roberts Australia 24 1.7k 2.0× 1.3k 1.8× 352 0.6× 403 1.0× 232 0.6× 67 2.8k
Josephine Lum Singapore 20 759 0.9× 1.6k 2.1× 177 0.3× 326 0.8× 262 0.7× 30 2.5k

Countries citing papers authored by Moshe Biton

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Biton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moshe Biton. 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 Moshe Biton. The network helps show where Moshe Biton may publish in the future.

Co-authorship network of co-authors of Moshe Biton

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

All Works

20 of 20 papers shown
1.
Eisenbach, Lea, et al.. (2026). A lung specific escape of intravascular metastatic breast cancer cells from cytotoxic T cell killing. Frontiers in Immunology. 16. 1599751–1599751.
2.
Halder, Debdatta, Avishay Spitzer, Chaya Barbolin, et al.. (2025). Subtypes and proliferation patterns of small intestine neuroendocrine tumors revealed by single-cell RNA sequencing. eLife. 13.
4.
Halder, Debdatta, Avishay Spitzer, Chaya Barbolin, et al.. (2024). Subtypes and proliferation patterns of small intestine neuroendocrine tumors revealed by single-cell RNA sequencing. eLife. 13.
5.
Stoler‐Barak, Liat, Adi Biram, Merav Kedmi, et al.. (2024). Turbinate-homing IgA-secreting cells originate in the nasal lymphoid tissues. Nature. 632(8025). 637–646. 13 indexed citations
6.
Kilian, Christoph, Tomer Landsberger, Maren Büttner, et al.. (2024). Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease. npj Systems Biology and Applications. 10(1). 69–69. 2 indexed citations
7.
Sapoznikov, Anita, Sara W. Feigelson, Shifra Ben‐Dor, et al.. (2023). Dendritic cell ICAM-1 strengthens synapses with CD8 T cells but is not required for their early differentiation. Cell Reports. 42(8). 112864–112864. 6 indexed citations
8.
Biram, Adi, Jingjing Liu, Hadas Hezroni, et al.. (2022). Bacterial infection disrupts established germinal center reactions through monocyte recruitment and impaired metabolic adaptation. Immunity. 55(3). 442–458.e8. 27 indexed citations
9.
Sullivan, Zuri A., William Khoury-Hanold, Jaechul Lim, et al.. (2021). γδ T cells regulate the intestinal response to nutrient sensing. Science. 371(6535). 82 indexed citations
10.
Dekel, Elya, et al.. (2020). Antibody-Free Labeling of Malaria-Derived Extracellular Vesicles Using Flow Cytometry. Biomedicines. 8(5). 98–98. 4 indexed citations
11.
Karthaus, Wouter R., Matan Hofree, Danielle Choi, et al.. (2020). Regenerative potential of prostate luminal cells revealed by single-cell analysis. Science. 368(6490). 497–505. 170 indexed citations
12.
Khor, Bernard, Kara L. Conway, Moshe Biton, et al.. (2019). Distinct Tissue-Specific Roles for the Disease-Associated Autophagy Genes ATG16L2 and ATG16L1. The Journal of Immunology. 203(7). 1820–1829. 19 indexed citations
13.
Aran, Dvir, Audrey Lasry, Adar Zinger, et al.. (2016). Widespread parainflammation in human cancer. Genome biology. 17(1). 145–145. 68 indexed citations
14.
Pribluda, Ariel, Ela Elyada, Zoltán Wiener, et al.. (2015). A Senescence-Inflammatory Switch from Cancer-Inhibitory to Cancer-Promoting Mechanism. Cancer Cell. 27(6). 877–878. 3 indexed citations
15.
Kanterman, Julia, Moshe Sade-Feldman, Moshe Biton, et al.. (2014). Adverse Immunoregulatory Effects of 5FU and CPT11 Chemotherapy on Myeloid-Derived Suppressor Cells and Colorectal Cancer Outcomes. Cancer Research. 74(21). 6022–6035. 139 indexed citations
16.
Kasir, Judith, Zvi Hayouka, Miri Stolovich-Rain, et al.. (2014). Reassessment of the Role of TSC, mTORC1 and MicroRNAs in Amino Acids-Meditated Translational Control of TOP mRNAs. PLoS ONE. 9(10). e109410–e109410. 22 indexed citations
17.
Pribluda, Ariel, Ela Elyada, Zoltán Wiener, et al.. (2013). A Senescence-Inflammatory Switch from Cancer-Inhibitory to Cancer-Promoting Mechanism. Cancer Cell. 24(2). 242–256. 185 indexed citations
18.
Biton, Moshe, Avi Levin, Michal Slyper, et al.. (2011). Epithelial microRNAs regulate gut mucosal immunity via epithelium–T cell crosstalk. Nature Immunology. 12(3). 239–246. 157 indexed citations
19.
Stern‐Ginossar, Noam, Chamutal Gur, Moshe Biton, et al.. (2008). Human microRNAs regulate stress-induced immune responses mediated by the receptor NKG2D. Nature Immunology. 9(9). 1065–1073. 259 indexed citations
20.
Tkacz, Itai Dov, Yaniv Lustig, Michael Stern, et al.. (2006). Identification of novel snRNA-specific Sm proteins that bind selectively to U2 and U4 snRNAs in Trypanosoma brucei. RNA. 13(1). 30–43. 34 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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